commit 4bf28addf29ed149154c5b5408ceaee5f0e890ad
parent ff13f3089de0f77db03c968b89f3b54dff54067a
Author: Andrew <andrewlaack1@gmail.com>
Date: Sun, 30 Jun 2024 22:29:26 -0500
Created model.
Diffstat:
1 file changed, 2111 insertions(+), 37 deletions(-)
diff --git a/nnTextGeneration/NNTextGenerationWithTokens.ipynb b/nnTextGeneration/NNTextGenerationWithTokens.ipynb
@@ -2,9 +2,21 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": 1,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2024-06-30 11:47:32.758301: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
+ "2024-06-30 11:47:32.934765: I external/local_tsl/tsl/cuda/cudart_stub.cc:32] Could not find cuda drivers on your machine, GPU will not be used.\n",
+ "2024-06-30 11:47:33.674608: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+ "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
+ "2024-06-30 11:47:35.064859: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
+ ]
+ }
+ ],
"source": [
"import keras\n",
"import tensorflow as tf\n",
@@ -17,7 +29,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -26,7 +38,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -35,7 +47,7 @@
"5447117"
]
},
- "execution_count": 25,
+ "execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -46,9 +58,19 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 4,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2024-06-30 11:47:36.921820: I external/local_xla/xla/stream_executor/cuda/cuda_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
+ "2024-06-30 11:47:36.922340: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2251] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n",
+ "Skipping registering GPU devices...\n"
+ ]
+ }
+ ],
"source": [
"encoder = keras.layers.TextVectorization(standardize=None)\n",
"\n",
@@ -58,7 +80,7 @@
},
{
"cell_type": "code",
- "execution_count": 27,
+ "execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
@@ -68,7 +90,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
@@ -94,7 +116,7 @@
},
{
"cell_type": "code",
- "execution_count": 29,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -115,7 +137,7 @@
},
{
"cell_type": "code",
- "execution_count": 30,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@@ -129,7 +151,7 @@
},
{
"cell_type": "code",
- "execution_count": 31,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
@@ -143,7 +165,7 @@
" 7, 13025, 174, 9165])"
]
},
- "execution_count": 31,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -154,7 +176,7 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
@@ -188,37 +210,2055 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 11,
"metadata": {},
- "outputs": [
- {
- "ename": "",
- "evalue": "",
- "output_type": "error",
- "traceback": [
- "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
- "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
- "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
- "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
- ]
- }
- ],
+ "outputs": [],
"source": [
"model.compile(loss=keras.losses.categorical_crossentropy, optimizer='adam', metrics=['accuracy'])"
]
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 12,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Epoch 1/1000\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2024-06-30 11:47:39.989978: W external/local_tsl/tsl/framework/cpu_allocator_impl.cc:83] Allocation of 9659401024 exceeds 10% of free system memory.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 319ms/step - accuracy: 0.0123 - loss: 10.5134\n",
+ "Epoch 2/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.0235 - loss: 7.5712\n",
+ "Epoch 3/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 329ms/step - accuracy: 0.0266 - loss: 7.2860\n",
+ "Epoch 4/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.0217 - loss: 7.1660\n",
+ "Epoch 5/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.0228 - loss: 7.0458\n",
+ "Epoch 6/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 334ms/step - accuracy: 0.0255 - loss: 6.9753\n",
+ "Epoch 7/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 340ms/step - accuracy: 0.0244 - loss: 6.9148\n",
+ "Epoch 8/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 405ms/step - accuracy: 0.0228 - loss: 6.7965\n",
+ "Epoch 9/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 417ms/step - accuracy: 0.0244 - loss: 6.7368\n",
+ "Epoch 10/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.0235 - loss: 6.6401\n",
+ "Epoch 11/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 313ms/step - accuracy: 0.0254 - loss: 6.5956\n",
+ "Epoch 12/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 307ms/step - accuracy: 0.0261 - loss: 6.5252\n",
+ "Epoch 13/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 305ms/step - accuracy: 0.0248 - loss: 6.4598\n",
+ "Epoch 14/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 300ms/step - accuracy: 0.0237 - loss: 6.4341\n",
+ "Epoch 15/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.0254 - loss: 6.3360\n",
+ "Epoch 16/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 328ms/step - accuracy: 0.0263 - loss: 6.3000\n",
+ "Epoch 17/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.0276 - loss: 6.2114\n",
+ "Epoch 18/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.0285 - loss: 6.1512\n",
+ "Epoch 19/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.0251 - loss: 6.1418\n",
+ "Epoch 20/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 333ms/step - accuracy: 0.0276 - loss: 6.1013\n",
+ "Epoch 21/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.0305 - loss: 5.9345\n",
+ "Epoch 22/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 331ms/step - accuracy: 0.0314 - loss: 5.8836\n",
+ "Epoch 23/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 345ms/step - accuracy: 0.0308 - loss: 5.8132\n",
+ "Epoch 24/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 343ms/step - accuracy: 0.0322 - loss: 5.8150\n",
+ "Epoch 25/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 344ms/step - accuracy: 0.0336 - loss: 5.7406\n",
+ "Epoch 26/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 360ms/step - accuracy: 0.0383 - loss: 5.6779\n",
+ "Epoch 27/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.0389 - loss: 5.5843\n",
+ "Epoch 28/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 324ms/step - accuracy: 0.0430 - loss: 5.4562\n",
+ "Epoch 29/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 328ms/step - accuracy: 0.0423 - loss: 5.5224\n",
+ "Epoch 30/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 331ms/step - accuracy: 0.0434 - loss: 5.3773\n",
+ "Epoch 31/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 346ms/step - accuracy: 0.0431 - loss: 5.3657\n",
+ "Epoch 32/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 337ms/step - accuracy: 0.0493 - loss: 5.2604\n",
+ "Epoch 33/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.0479 - loss: 5.3221\n",
+ "Epoch 34/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.0539 - loss: 5.1832\n",
+ "Epoch 35/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.0568 - loss: 5.0142\n",
+ "Epoch 36/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.0617 - loss: 5.0467\n",
+ "Epoch 37/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.0597 - loss: 4.9952\n",
+ "Epoch 38/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.0694 - loss: 4.8896\n",
+ "Epoch 39/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.0761 - loss: 4.8112\n",
+ "Epoch 40/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.0721 - loss: 4.7814\n",
+ "Epoch 41/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.0719 - loss: 4.7867\n",
+ "Epoch 42/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.0844 - loss: 4.6465\n",
+ "Epoch 43/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 318ms/step - accuracy: 0.0809 - loss: 4.6598\n",
+ "Epoch 44/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 350ms/step - accuracy: 0.0797 - loss: 4.6539\n",
+ "Epoch 45/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 331ms/step - accuracy: 0.0858 - loss: 4.5563\n",
+ "Epoch 46/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 334ms/step - accuracy: 0.1014 - loss: 4.3595\n",
+ "Epoch 47/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 329ms/step - accuracy: 0.0986 - loss: 4.4849\n",
+ "Epoch 48/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.1009 - loss: 4.4665\n",
+ "Epoch 49/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.0995 - loss: 4.3807\n",
+ "Epoch 50/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.1098 - loss: 4.2561\n",
+ "Epoch 51/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.1247 - loss: 4.1317\n",
+ "Epoch 52/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 349ms/step - accuracy: 0.1191 - loss: 4.2046\n",
+ "Epoch 53/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 331ms/step - accuracy: 0.1308 - loss: 4.0880\n",
+ "Epoch 54/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 343ms/step - accuracy: 0.1354 - loss: 4.0396\n",
+ "Epoch 55/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 352ms/step - accuracy: 0.1451 - loss: 3.9158\n",
+ "Epoch 56/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 327ms/step - accuracy: 0.1354 - loss: 3.9774\n",
+ "Epoch 57/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 345ms/step - accuracy: 0.1518 - loss: 3.9087\n",
+ "Epoch 58/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 344ms/step - accuracy: 0.1635 - loss: 3.7563\n",
+ "Epoch 59/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 330ms/step - accuracy: 0.1653 - loss: 3.7399\n",
+ "Epoch 60/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 314ms/step - accuracy: 0.1743 - loss: 3.7389\n",
+ "Epoch 61/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.1669 - loss: 3.7504\n",
+ "Epoch 62/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 313ms/step - accuracy: 0.1756 - loss: 3.7127\n",
+ "Epoch 63/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.1902 - loss: 3.5940\n",
+ "Epoch 64/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.1822 - loss: 3.6239\n",
+ "Epoch 65/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 313ms/step - accuracy: 0.1995 - loss: 3.4739\n",
+ "Epoch 66/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.2088 - loss: 3.4953\n",
+ "Epoch 67/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 312ms/step - accuracy: 0.2002 - loss: 3.5219\n",
+ "Epoch 68/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 313ms/step - accuracy: 0.2097 - loss: 3.4206\n",
+ "Epoch 69/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.2111 - loss: 3.3752\n",
+ "Epoch 70/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 311ms/step - accuracy: 0.2129 - loss: 3.4109\n",
+ "Epoch 71/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 312ms/step - accuracy: 0.2211 - loss: 3.4195\n",
+ "Epoch 72/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 317ms/step - accuracy: 0.2418 - loss: 3.2209\n",
+ "Epoch 73/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 312ms/step - accuracy: 0.2552 - loss: 3.1049\n",
+ "Epoch 74/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 314ms/step - accuracy: 0.2500 - loss: 3.1996\n",
+ "Epoch 75/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.2540 - loss: 3.1578\n",
+ "Epoch 76/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 314ms/step - accuracy: 0.2876 - loss: 2.9388\n",
+ "Epoch 77/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 315ms/step - accuracy: 0.2817 - loss: 2.9701\n",
+ "Epoch 78/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 318ms/step - accuracy: 0.2858 - loss: 2.9524\n",
+ "Epoch 79/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 313ms/step - accuracy: 0.3035 - loss: 2.8461\n",
+ "Epoch 80/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 313ms/step - accuracy: 0.2935 - loss: 2.8956\n",
+ "Epoch 81/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.2559 - loss: 3.1186\n",
+ "Epoch 82/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 314ms/step - accuracy: 0.3082 - loss: 2.8363\n",
+ "Epoch 83/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 314ms/step - accuracy: 0.3279 - loss: 2.6847\n",
+ "Epoch 84/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.3401 - loss: 2.6208\n",
+ "Epoch 85/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.3438 - loss: 2.6131\n",
+ "Epoch 86/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 314ms/step - accuracy: 0.3393 - loss: 2.6812\n",
+ "Epoch 87/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 317ms/step - accuracy: 0.3446 - loss: 2.6793\n",
+ "Epoch 88/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 313ms/step - accuracy: 0.3503 - loss: 2.5921\n",
+ "Epoch 89/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.3788 - loss: 2.5025\n",
+ "Epoch 90/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 318ms/step - accuracy: 0.3646 - loss: 2.5263\n",
+ "Epoch 91/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.3780 - loss: 2.4978\n",
+ "Epoch 92/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 314ms/step - accuracy: 0.4013 - loss: 2.3597\n",
+ "Epoch 93/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.3930 - loss: 2.4214\n",
+ "Epoch 94/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.4040 - loss: 2.3447\n",
+ "Epoch 95/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.4342 - loss: 2.1864\n",
+ "Epoch 96/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.4272 - loss: 2.2544\n",
+ "Epoch 97/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.4368 - loss: 2.2238\n",
+ "Epoch 98/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.4424 - loss: 2.1756\n",
+ "Epoch 99/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.4093 - loss: 2.3168\n",
+ "Epoch 100/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.4107 - loss: 2.3511\n",
+ "Epoch 101/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.4627 - loss: 2.0792\n",
+ "Epoch 102/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.4454 - loss: 2.1538\n",
+ "Epoch 103/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.4340 - loss: 2.1922\n",
+ "Epoch 104/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.4597 - loss: 2.0989\n",
+ "Epoch 105/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.4818 - loss: 1.9718\n",
+ "Epoch 106/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.4848 - loss: 1.9637\n",
+ "Epoch 107/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.4676 - loss: 2.0212\n",
+ "Epoch 108/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.4705 - loss: 2.0626\n",
+ "Epoch 109/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.4784 - loss: 1.9964\n",
+ "Epoch 110/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.4799 - loss: 1.9831\n",
+ "Epoch 111/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.5029 - loss: 1.9057\n",
+ "Epoch 112/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 317ms/step - accuracy: 0.5029 - loss: 1.8833\n",
+ "Epoch 113/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.4853 - loss: 1.9547\n",
+ "Epoch 114/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.4951 - loss: 1.9838\n",
+ "Epoch 115/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.4795 - loss: 2.0479\n",
+ "Epoch 116/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.5081 - loss: 1.8805\n",
+ "Epoch 117/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.5007 - loss: 1.8988\n",
+ "Epoch 118/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.5485 - loss: 1.7037\n",
+ "Epoch 119/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.4976 - loss: 1.9345\n",
+ "Epoch 120/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.5348 - loss: 1.7352\n",
+ "Epoch 121/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.5161 - loss: 1.8351\n",
+ "Epoch 122/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.5369 - loss: 1.7917\n",
+ "Epoch 123/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.5207 - loss: 1.8279\n",
+ "Epoch 124/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.5486 - loss: 1.6837\n",
+ "Epoch 125/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.5749 - loss: 1.6292\n",
+ "Epoch 126/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.5718 - loss: 1.6137\n",
+ "Epoch 127/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.4952 - loss: 1.9360\n",
+ "Epoch 128/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.5480 - loss: 1.7365\n",
+ "Epoch 129/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.5830 - loss: 1.5745\n",
+ "Epoch 130/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.5985 - loss: 1.4982\n",
+ "Epoch 131/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 324ms/step - accuracy: 0.6049 - loss: 1.4782\n",
+ "Epoch 132/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.5742 - loss: 1.6307\n",
+ "Epoch 133/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.6058 - loss: 1.4616\n",
+ "Epoch 134/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.6073 - loss: 1.4470\n",
+ "Epoch 135/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.5830 - loss: 1.5642\n",
+ "Epoch 136/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.5374 - loss: 1.7371\n",
+ "Epoch 137/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.5715 - loss: 1.6358\n",
+ "Epoch 138/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.6155 - loss: 1.4521\n",
+ "Epoch 139/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.5468 - loss: 1.7114\n",
+ "Epoch 140/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.6039 - loss: 1.4644\n",
+ "Epoch 141/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.5892 - loss: 1.5709\n",
+ "Epoch 142/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.5985 - loss: 1.5141\n",
+ "Epoch 143/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.6300 - loss: 1.3645\n",
+ "Epoch 144/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 327ms/step - accuracy: 0.6460 - loss: 1.3231\n",
+ "Epoch 145/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.6679 - loss: 1.2293\n",
+ "Epoch 146/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.6469 - loss: 1.3051\n",
+ "Epoch 147/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.6469 - loss: 1.3174\n",
+ "Epoch 148/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.6143 - loss: 1.4347\n",
+ "Epoch 149/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.6338 - loss: 1.3379\n",
+ "Epoch 150/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.6314 - loss: 1.3705\n",
+ "Epoch 151/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.6437 - loss: 1.2999\n",
+ "Epoch 152/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.6029 - loss: 1.4811\n",
+ "Epoch 153/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.6255 - loss: 1.4017\n",
+ "Epoch 154/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.6326 - loss: 1.3638\n",
+ "Epoch 155/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.6436 - loss: 1.3117\n",
+ "Epoch 156/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.6449 - loss: 1.3344\n",
+ "Epoch 157/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.6609 - loss: 1.2504\n",
+ "Epoch 158/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.6122 - loss: 1.4662\n",
+ "Epoch 159/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.5918 - loss: 1.5773\n",
+ "Epoch 160/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.6122 - loss: 1.4564\n",
+ "Epoch 161/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.6678 - loss: 1.2216\n",
+ "Epoch 162/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.7106 - loss: 1.0605\n",
+ "Epoch 163/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.6582 - loss: 1.2494\n",
+ "Epoch 164/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.6824 - loss: 1.1493\n",
+ "Epoch 165/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.6703 - loss: 1.2288\n",
+ "Epoch 166/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.6016 - loss: 1.4521\n",
+ "Epoch 167/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 324ms/step - accuracy: 0.6692 - loss: 1.2131\n",
+ "Epoch 168/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.7163 - loss: 1.0424\n",
+ "Epoch 169/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.7097 - loss: 1.0534\n",
+ "Epoch 170/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.6790 - loss: 1.1838\n",
+ "Epoch 171/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.6558 - loss: 1.2628\n",
+ "Epoch 172/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.6541 - loss: 1.3034\n",
+ "Epoch 173/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.6224 - loss: 1.4085\n",
+ "Epoch 174/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.6770 - loss: 1.1989\n",
+ "Epoch 175/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.7018 - loss: 1.1137\n",
+ "Epoch 176/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.7111 - loss: 1.0822\n",
+ "Epoch 177/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.6724 - loss: 1.2023\n",
+ "Epoch 178/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.6632 - loss: 1.2461\n",
+ "Epoch 179/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.6660 - loss: 1.2340\n",
+ "Epoch 180/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.6915 - loss: 1.1449\n",
+ "Epoch 181/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.7106 - loss: 1.0538\n",
+ "Epoch 182/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.7299 - loss: 0.9826\n",
+ "Epoch 183/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.7257 - loss: 0.9949\n",
+ "Epoch 184/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 324ms/step - accuracy: 0.6934 - loss: 1.1215\n",
+ "Epoch 185/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 327ms/step - accuracy: 0.7184 - loss: 1.0135\n",
+ "Epoch 186/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.7508 - loss: 0.9110\n",
+ "Epoch 187/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 328ms/step - accuracy: 0.7202 - loss: 1.0162\n",
+ "Epoch 188/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.6848 - loss: 1.1835\n",
+ "Epoch 189/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.6999 - loss: 1.1104\n",
+ "Epoch 190/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.7200 - loss: 1.0167\n",
+ "Epoch 191/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.6561 - loss: 1.2640\n",
+ "Epoch 192/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.7209 - loss: 1.0103\n",
+ "Epoch 193/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.7288 - loss: 0.9873\n",
+ "Epoch 194/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.7546 - loss: 0.8863\n",
+ "Epoch 195/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.6946 - loss: 1.1301\n",
+ "Epoch 196/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.7413 - loss: 0.9417\n",
+ "Epoch 197/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.7208 - loss: 1.0341\n",
+ "Epoch 198/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.7490 - loss: 0.9182\n",
+ "Epoch 199/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.5919 - loss: 1.6596\n",
+ "Epoch 200/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.7007 - loss: 1.0884\n",
+ "Epoch 201/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 314ms/step - accuracy: 0.6935 - loss: 1.0977\n",
+ "Epoch 202/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.7487 - loss: 0.9162\n",
+ "Epoch 203/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.7616 - loss: 0.8574\n",
+ "Epoch 204/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.7558 - loss: 0.8728\n",
+ "Epoch 205/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.7289 - loss: 0.9936\n",
+ "Epoch 206/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.7432 - loss: 0.9176\n",
+ "Epoch 207/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.7267 - loss: 1.0059\n",
+ "Epoch 208/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.7392 - loss: 0.9504\n",
+ "Epoch 209/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.7207 - loss: 1.0456\n",
+ "Epoch 210/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.7249 - loss: 1.0606\n",
+ "Epoch 211/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.7457 - loss: 0.9460\n",
+ "Epoch 212/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.7539 - loss: 0.8866\n",
+ "Epoch 213/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.7534 - loss: 0.8825\n",
+ "Epoch 214/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.7497 - loss: 0.9008\n",
+ "Epoch 215/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.7524 - loss: 0.9018\n",
+ "Epoch 216/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.7369 - loss: 0.9634\n",
+ "Epoch 217/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.7685 - loss: 0.8117\n",
+ "Epoch 218/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.7656 - loss: 0.8368\n",
+ "Epoch 219/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.7757 - loss: 0.7942\n",
+ "Epoch 220/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.7931 - loss: 0.7408\n",
+ "Epoch 221/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.7777 - loss: 0.7917\n",
+ "Epoch 222/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.7583 - loss: 0.8681\n",
+ "Epoch 223/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.7814 - loss: 0.7863\n",
+ "Epoch 224/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.7455 - loss: 0.9238\n",
+ "Epoch 225/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.7725 - loss: 0.8171\n",
+ "Epoch 226/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.7612 - loss: 0.8692\n",
+ "Epoch 227/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.7489 - loss: 0.9060\n",
+ "Epoch 228/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.7505 - loss: 0.8990\n",
+ "Epoch 229/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.7681 - loss: 0.8277\n",
+ "Epoch 230/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.7638 - loss: 0.8505\n",
+ "Epoch 231/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.7750 - loss: 0.8133\n",
+ "Epoch 232/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.7854 - loss: 0.7625\n",
+ "Epoch 233/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.7645 - loss: 0.8556\n",
+ "Epoch 234/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.6749 - loss: 1.2193\n",
+ "Epoch 235/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.7423 - loss: 0.9272\n",
+ "Epoch 236/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.7811 - loss: 0.7754\n",
+ "Epoch 237/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8015 - loss: 0.7167\n",
+ "Epoch 238/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.7783 - loss: 0.7781\n",
+ "Epoch 239/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.7795 - loss: 0.7836\n",
+ "Epoch 240/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.7747 - loss: 0.8192\n",
+ "Epoch 241/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.7853 - loss: 0.7615\n",
+ "Epoch 242/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.7293 - loss: 0.9914\n",
+ "Epoch 243/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.7782 - loss: 0.7797\n",
+ "Epoch 244/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.7665 - loss: 0.8517\n",
+ "Epoch 245/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.8020 - loss: 0.7146\n",
+ "Epoch 246/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8279 - loss: 0.6342\n",
+ "Epoch 247/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.7939 - loss: 0.7663\n",
+ "Epoch 248/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.7407 - loss: 0.9680\n",
+ "Epoch 249/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.7865 - loss: 0.7534\n",
+ "Epoch 250/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8198 - loss: 0.6557\n",
+ "Epoch 251/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.7696 - loss: 0.8234\n",
+ "Epoch 252/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.7695 - loss: 0.8336\n",
+ "Epoch 253/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.7689 - loss: 0.8629\n",
+ "Epoch 254/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.7565 - loss: 0.8998\n",
+ "Epoch 255/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.7820 - loss: 0.7905\n",
+ "Epoch 256/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8122 - loss: 0.6890\n",
+ "Epoch 257/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8369 - loss: 0.5986\n",
+ "Epoch 258/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.8202 - loss: 0.6302\n",
+ "Epoch 259/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8236 - loss: 0.6343\n",
+ "Epoch 260/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8061 - loss: 0.7040\n",
+ "Epoch 261/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.7703 - loss: 0.8548\n",
+ "Epoch 262/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.7477 - loss: 0.9015\n",
+ "Epoch 263/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.7774 - loss: 0.7916\n",
+ "Epoch 264/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8248 - loss: 0.6307\n",
+ "Epoch 265/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.8451 - loss: 0.5741\n",
+ "Epoch 266/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.8312 - loss: 0.6032\n",
+ "Epoch 267/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8331 - loss: 0.5863\n",
+ "Epoch 268/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.7581 - loss: 0.8956\n",
+ "Epoch 269/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.7805 - loss: 0.8016\n",
+ "Epoch 270/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.7844 - loss: 0.7940\n",
+ "Epoch 271/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 318ms/step - accuracy: 0.8240 - loss: 0.6155\n",
+ "Epoch 272/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8136 - loss: 0.6625\n",
+ "Epoch 273/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.7894 - loss: 0.7658\n",
+ "Epoch 274/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.7724 - loss: 0.8194\n",
+ "Epoch 275/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8065 - loss: 0.6986\n",
+ "Epoch 276/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.7825 - loss: 0.8058\n",
+ "Epoch 277/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.8242 - loss: 0.6441\n",
+ "Epoch 278/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.8071 - loss: 0.6776\n",
+ "Epoch 279/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.7917 - loss: 0.7387\n",
+ "Epoch 280/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.7970 - loss: 0.7352\n",
+ "Epoch 281/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.8277 - loss: 0.6117\n",
+ "Epoch 282/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8419 - loss: 0.5448\n",
+ "Epoch 283/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8378 - loss: 0.5736\n",
+ "Epoch 284/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8173 - loss: 0.6437\n",
+ "Epoch 285/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8023 - loss: 0.6991\n",
+ "Epoch 286/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8396 - loss: 0.5748\n",
+ "Epoch 287/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.7624 - loss: 0.9084\n",
+ "Epoch 288/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.7573 - loss: 0.8848\n",
+ "Epoch 289/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.8190 - loss: 0.6357\n",
+ "Epoch 290/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.8255 - loss: 0.6227\n",
+ "Epoch 291/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8578 - loss: 0.5094\n",
+ "Epoch 292/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8481 - loss: 0.5529\n",
+ "Epoch 293/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.8190 - loss: 0.6461\n",
+ "Epoch 294/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8233 - loss: 0.6479\n",
+ "Epoch 295/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.8268 - loss: 0.6254\n",
+ "Epoch 296/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8152 - loss: 0.6635\n",
+ "Epoch 297/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8375 - loss: 0.5751\n",
+ "Epoch 298/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8329 - loss: 0.5984\n",
+ "Epoch 299/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8105 - loss: 0.6686\n",
+ "Epoch 300/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8399 - loss: 0.5646\n",
+ "Epoch 301/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8460 - loss: 0.5611\n",
+ "Epoch 302/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8392 - loss: 0.5518\n",
+ "Epoch 303/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8573 - loss: 0.5159\n",
+ "Epoch 304/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8355 - loss: 0.5729\n",
+ "Epoch 305/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8366 - loss: 0.5820\n",
+ "Epoch 306/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8220 - loss: 0.6597\n",
+ "Epoch 307/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8379 - loss: 0.5615\n",
+ "Epoch 308/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8462 - loss: 0.5789\n",
+ "Epoch 309/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8140 - loss: 0.6610\n",
+ "Epoch 310/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8502 - loss: 0.5433\n",
+ "Epoch 311/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8635 - loss: 0.4877\n",
+ "Epoch 312/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8437 - loss: 0.5439\n",
+ "Epoch 313/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8036 - loss: 0.6932\n",
+ "Epoch 314/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8020 - loss: 0.6973\n",
+ "Epoch 315/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 343ms/step - accuracy: 0.8424 - loss: 0.5458\n",
+ "Epoch 316/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8408 - loss: 0.5793\n",
+ "Epoch 317/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8186 - loss: 0.6313\n",
+ "Epoch 318/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8166 - loss: 0.6418\n",
+ "Epoch 319/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8480 - loss: 0.5372\n",
+ "Epoch 320/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8550 - loss: 0.5242\n",
+ "Epoch 321/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8175 - loss: 0.6497\n",
+ "Epoch 322/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8078 - loss: 0.7026\n",
+ "Epoch 323/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.8407 - loss: 0.5715\n",
+ "Epoch 324/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8557 - loss: 0.5244\n",
+ "Epoch 325/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.8692 - loss: 0.4760\n",
+ "Epoch 326/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8398 - loss: 0.5851\n",
+ "Epoch 327/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.7544 - loss: 0.8899\n",
+ "Epoch 328/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.8144 - loss: 0.6765\n",
+ "Epoch 329/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8360 - loss: 0.5937\n",
+ "Epoch 330/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.8426 - loss: 0.5630\n",
+ "Epoch 331/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8545 - loss: 0.5237\n",
+ "Epoch 332/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8585 - loss: 0.5215\n",
+ "Epoch 333/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.7489 - loss: 0.9394\n",
+ "Epoch 334/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8032 - loss: 0.6814\n",
+ "Epoch 335/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8472 - loss: 0.5333\n",
+ "Epoch 336/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 318ms/step - accuracy: 0.8759 - loss: 0.4527\n",
+ "Epoch 337/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8427 - loss: 0.5568\n",
+ "Epoch 338/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8293 - loss: 0.6498\n",
+ "Epoch 339/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 317ms/step - accuracy: 0.8478 - loss: 0.5249\n",
+ "Epoch 340/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.8213 - loss: 0.6430\n",
+ "Epoch 341/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8432 - loss: 0.5678\n",
+ "Epoch 342/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8639 - loss: 0.4840\n",
+ "Epoch 343/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8556 - loss: 0.5210\n",
+ "Epoch 344/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.8702 - loss: 0.4486\n",
+ "Epoch 345/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.7951 - loss: 0.7399\n",
+ "Epoch 346/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8456 - loss: 0.5359\n",
+ "Epoch 347/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8466 - loss: 0.5658\n",
+ "Epoch 348/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8544 - loss: 0.5330\n",
+ "Epoch 349/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8746 - loss: 0.4530\n",
+ "Epoch 350/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8581 - loss: 0.5082\n",
+ "Epoch 351/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8604 - loss: 0.4951\n",
+ "Epoch 352/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8702 - loss: 0.4686\n",
+ "Epoch 353/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8656 - loss: 0.4960\n",
+ "Epoch 354/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.8554 - loss: 0.5278\n",
+ "Epoch 355/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8493 - loss: 0.5394\n",
+ "Epoch 356/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.8271 - loss: 0.6180\n",
+ "Epoch 357/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8595 - loss: 0.5076\n",
+ "Epoch 358/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8403 - loss: 0.5627\n",
+ "Epoch 359/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8236 - loss: 0.6361\n",
+ "Epoch 360/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.8116 - loss: 0.6744\n",
+ "Epoch 361/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8425 - loss: 0.5842\n",
+ "Epoch 362/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.8119 - loss: 0.6659\n",
+ "Epoch 363/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8694 - loss: 0.4724\n",
+ "Epoch 364/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8443 - loss: 0.5457\n",
+ "Epoch 365/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.8008 - loss: 0.7185\n",
+ "Epoch 366/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8529 - loss: 0.5295\n",
+ "Epoch 367/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8691 - loss: 0.4615\n",
+ "Epoch 368/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8790 - loss: 0.4218\n",
+ "Epoch 369/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.8566 - loss: 0.5159\n",
+ "Epoch 370/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.8758 - loss: 0.4230\n",
+ "Epoch 371/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8175 - loss: 0.6639\n",
+ "Epoch 372/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8562 - loss: 0.5111\n",
+ "Epoch 373/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.8669 - loss: 0.4780\n",
+ "Epoch 374/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8628 - loss: 0.5012\n",
+ "Epoch 375/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8515 - loss: 0.5366\n",
+ "Epoch 376/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8779 - loss: 0.4325\n",
+ "Epoch 377/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.8428 - loss: 0.5756\n",
+ "Epoch 378/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8493 - loss: 0.5464\n",
+ "Epoch 379/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8681 - loss: 0.4617\n",
+ "Epoch 380/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8985 - loss: 0.3652\n",
+ "Epoch 381/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8944 - loss: 0.3816\n",
+ "Epoch 382/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8674 - loss: 0.4671\n",
+ "Epoch 383/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8865 - loss: 0.4080\n",
+ "Epoch 384/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.8458 - loss: 0.5728\n",
+ "Epoch 385/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.8540 - loss: 0.5351\n",
+ "Epoch 386/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8815 - loss: 0.4131\n",
+ "Epoch 387/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8171 - loss: 0.6712\n",
+ "Epoch 388/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8505 - loss: 0.5320\n",
+ "Epoch 389/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8739 - loss: 0.4460\n",
+ "Epoch 390/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.8726 - loss: 0.4518\n",
+ "Epoch 391/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.8827 - loss: 0.4170\n",
+ "Epoch 392/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8883 - loss: 0.3948\n",
+ "Epoch 393/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8685 - loss: 0.4771\n",
+ "Epoch 394/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.8623 - loss: 0.5007\n",
+ "Epoch 395/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.8598 - loss: 0.4771\n",
+ "Epoch 396/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8888 - loss: 0.3981\n",
+ "Epoch 397/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8607 - loss: 0.4766\n",
+ "Epoch 398/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8741 - loss: 0.4452\n",
+ "Epoch 399/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.8917 - loss: 0.3845\n",
+ "Epoch 400/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8482 - loss: 0.5540\n",
+ "Epoch 401/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8297 - loss: 0.6310\n",
+ "Epoch 402/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8559 - loss: 0.5126\n",
+ "Epoch 403/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8440 - loss: 0.5607\n",
+ "Epoch 404/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8792 - loss: 0.4245\n",
+ "Epoch 405/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8851 - loss: 0.4201\n",
+ "Epoch 406/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.8654 - loss: 0.4830\n",
+ "Epoch 407/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8499 - loss: 0.5364\n",
+ "Epoch 408/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8665 - loss: 0.4710\n",
+ "Epoch 409/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8148 - loss: 0.6837\n",
+ "Epoch 410/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.7699 - loss: 0.8536\n",
+ "Epoch 411/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8425 - loss: 0.5769\n",
+ "Epoch 412/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8748 - loss: 0.4510\n",
+ "Epoch 413/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 315ms/step - accuracy: 0.8551 - loss: 0.5101\n",
+ "Epoch 414/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.8750 - loss: 0.4584\n",
+ "Epoch 415/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8979 - loss: 0.3728\n",
+ "Epoch 416/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8958 - loss: 0.3724\n",
+ "Epoch 417/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8817 - loss: 0.4107\n",
+ "Epoch 418/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9084 - loss: 0.3440\n",
+ "Epoch 419/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9133 - loss: 0.3087\n",
+ "Epoch 420/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9002 - loss: 0.3702\n",
+ "Epoch 421/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8975 - loss: 0.3633\n",
+ "Epoch 422/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 318ms/step - accuracy: 0.8869 - loss: 0.4106\n",
+ "Epoch 423/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.8375 - loss: 0.6023\n",
+ "Epoch 424/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8416 - loss: 0.5548\n",
+ "Epoch 425/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8864 - loss: 0.4210\n",
+ "Epoch 426/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8614 - loss: 0.5109\n",
+ "Epoch 427/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8513 - loss: 0.5290\n",
+ "Epoch 428/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8655 - loss: 0.4843\n",
+ "Epoch 429/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8874 - loss: 0.4034\n",
+ "Epoch 430/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8567 - loss: 0.5237\n",
+ "Epoch 431/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8485 - loss: 0.5442\n",
+ "Epoch 432/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8691 - loss: 0.4773\n",
+ "Epoch 433/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 320ms/step - accuracy: 0.8675 - loss: 0.4734\n",
+ "Epoch 434/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9059 - loss: 0.3366\n",
+ "Epoch 435/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9024 - loss: 0.3711\n",
+ "Epoch 436/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8693 - loss: 0.4713\n",
+ "Epoch 437/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8977 - loss: 0.3669\n",
+ "Epoch 438/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8686 - loss: 0.4819\n",
+ "Epoch 439/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8880 - loss: 0.4120\n",
+ "Epoch 440/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8569 - loss: 0.5148\n",
+ "Epoch 441/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8585 - loss: 0.5281\n",
+ "Epoch 442/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8913 - loss: 0.3826\n",
+ "Epoch 443/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8991 - loss: 0.3561\n",
+ "Epoch 444/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9007 - loss: 0.3554\n",
+ "Epoch 445/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8755 - loss: 0.4369\n",
+ "Epoch 446/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.9092 - loss: 0.3336\n",
+ "Epoch 447/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9097 - loss: 0.3180\n",
+ "Epoch 448/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8855 - loss: 0.4395\n",
+ "Epoch 449/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8874 - loss: 0.4048\n",
+ "Epoch 450/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8450 - loss: 0.5779\n",
+ "Epoch 451/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8410 - loss: 0.5617\n",
+ "Epoch 452/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8545 - loss: 0.5014\n",
+ "Epoch 453/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8760 - loss: 0.4549\n",
+ "Epoch 454/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8939 - loss: 0.3800\n",
+ "Epoch 455/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8502 - loss: 0.5672\n",
+ "Epoch 456/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8956 - loss: 0.3711\n",
+ "Epoch 457/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.8996 - loss: 0.3476\n",
+ "Epoch 458/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8912 - loss: 0.3924\n",
+ "Epoch 459/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 314ms/step - accuracy: 0.8614 - loss: 0.4978\n",
+ "Epoch 460/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8743 - loss: 0.4599\n",
+ "Epoch 461/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8964 - loss: 0.3708\n",
+ "Epoch 462/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8754 - loss: 0.4376\n",
+ "Epoch 463/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8683 - loss: 0.4668\n",
+ "Epoch 464/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8968 - loss: 0.3689\n",
+ "Epoch 465/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.9148 - loss: 0.3099\n",
+ "Epoch 466/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.8366 - loss: 0.5967\n",
+ "Epoch 467/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8911 - loss: 0.3848\n",
+ "Epoch 468/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9151 - loss: 0.3033\n",
+ "Epoch 469/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8952 - loss: 0.3780\n",
+ "Epoch 470/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9041 - loss: 0.3496\n",
+ "Epoch 471/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.9002 - loss: 0.3442\n",
+ "Epoch 472/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 317ms/step - accuracy: 0.9193 - loss: 0.2937\n",
+ "Epoch 473/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9049 - loss: 0.3376\n",
+ "Epoch 474/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8787 - loss: 0.4352\n",
+ "Epoch 475/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8641 - loss: 0.4864\n",
+ "Epoch 476/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9024 - loss: 0.3397\n",
+ "Epoch 477/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.9259 - loss: 0.2697\n",
+ "Epoch 478/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8808 - loss: 0.4199\n",
+ "Epoch 479/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8937 - loss: 0.3838\n",
+ "Epoch 480/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8783 - loss: 0.4354\n",
+ "Epoch 481/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9007 - loss: 0.3645\n",
+ "Epoch 482/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.9007 - loss: 0.3577\n",
+ "Epoch 483/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8950 - loss: 0.3815\n",
+ "Epoch 484/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8700 - loss: 0.4775\n",
+ "Epoch 485/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8705 - loss: 0.4627\n",
+ "Epoch 486/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8973 - loss: 0.3544\n",
+ "Epoch 487/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8985 - loss: 0.3651\n",
+ "Epoch 488/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.9042 - loss: 0.3359\n",
+ "Epoch 489/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8617 - loss: 0.4952\n",
+ "Epoch 490/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8811 - loss: 0.4085\n",
+ "Epoch 491/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8885 - loss: 0.3947\n",
+ "Epoch 492/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9277 - loss: 0.2617\n",
+ "Epoch 493/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9237 - loss: 0.2808\n",
+ "Epoch 494/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.9013 - loss: 0.3631\n",
+ "Epoch 495/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8772 - loss: 0.4444\n",
+ "Epoch 496/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8744 - loss: 0.4470\n",
+ "Epoch 497/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8321 - loss: 0.6113\n",
+ "Epoch 498/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8662 - loss: 0.4544\n",
+ "Epoch 499/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9039 - loss: 0.3467\n",
+ "Epoch 500/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.9028 - loss: 0.3518\n",
+ "Epoch 501/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.9310 - loss: 0.2406\n",
+ "Epoch 502/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9046 - loss: 0.3370\n",
+ "Epoch 503/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8776 - loss: 0.4456\n",
+ "Epoch 504/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8979 - loss: 0.3624\n",
+ "Epoch 505/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9073 - loss: 0.3381\n",
+ "Epoch 506/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.9140 - loss: 0.3027\n",
+ "Epoch 507/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9099 - loss: 0.3184\n",
+ "Epoch 508/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9238 - loss: 0.2817\n",
+ "Epoch 509/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8943 - loss: 0.3561\n",
+ "Epoch 510/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8848 - loss: 0.4045\n",
+ "Epoch 511/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8887 - loss: 0.4045\n",
+ "Epoch 512/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9051 - loss: 0.3403\n",
+ "Epoch 513/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8725 - loss: 0.4516\n",
+ "Epoch 514/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.9088 - loss: 0.3205\n",
+ "Epoch 515/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.9347 - loss: 0.2392\n",
+ "Epoch 516/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9052 - loss: 0.3442\n",
+ "Epoch 517/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9008 - loss: 0.3501\n",
+ "Epoch 518/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9168 - loss: 0.2848\n",
+ "Epoch 519/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.8797 - loss: 0.4378\n",
+ "Epoch 520/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9115 - loss: 0.3128\n",
+ "Epoch 521/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8956 - loss: 0.3672\n",
+ "Epoch 522/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8927 - loss: 0.3746\n",
+ "Epoch 523/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 318ms/step - accuracy: 0.8327 - loss: 0.6378\n",
+ "Epoch 524/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.8576 - loss: 0.5172\n",
+ "Epoch 525/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.8893 - loss: 0.3869\n",
+ "Epoch 526/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.9023 - loss: 0.3436\n",
+ "Epoch 527/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8730 - loss: 0.4620\n",
+ "Epoch 528/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8983 - loss: 0.3441\n",
+ "Epoch 529/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.8827 - loss: 0.4242\n",
+ "Epoch 530/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8463 - loss: 0.5593\n",
+ "Epoch 531/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.8105 - loss: 0.6846\n",
+ "Epoch 532/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8872 - loss: 0.4125\n",
+ "Epoch 533/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8960 - loss: 0.3793\n",
+ "Epoch 534/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 315ms/step - accuracy: 0.9061 - loss: 0.3315\n",
+ "Epoch 535/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.9312 - loss: 0.2470\n",
+ "Epoch 536/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.9413 - loss: 0.2214\n",
+ "Epoch 537/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.9049 - loss: 0.3320\n",
+ "Epoch 538/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8858 - loss: 0.4271\n",
+ "Epoch 539/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9178 - loss: 0.2898\n",
+ "Epoch 540/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.9061 - loss: 0.3332\n",
+ "Epoch 541/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8745 - loss: 0.4956\n",
+ "Epoch 542/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8816 - loss: 0.4225\n",
+ "Epoch 543/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.9059 - loss: 0.3422\n",
+ "Epoch 544/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8961 - loss: 0.3640\n",
+ "Epoch 545/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9208 - loss: 0.2900\n",
+ "Epoch 546/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.9224 - loss: 0.2772\n",
+ "Epoch 547/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.9232 - loss: 0.2665\n",
+ "Epoch 548/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.9281 - loss: 0.2483\n",
+ "Epoch 549/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8650 - loss: 0.4906\n",
+ "Epoch 550/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8800 - loss: 0.4402\n",
+ "Epoch 551/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.8781 - loss: 0.4313\n",
+ "Epoch 552/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.9083 - loss: 0.3371\n",
+ "Epoch 553/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 317ms/step - accuracy: 0.9143 - loss: 0.3216\n",
+ "Epoch 554/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8751 - loss: 0.4709\n",
+ "Epoch 555/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.9063 - loss: 0.3308\n",
+ "Epoch 556/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8927 - loss: 0.4007\n",
+ "Epoch 557/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.9057 - loss: 0.3354\n",
+ "Epoch 558/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 317ms/step - accuracy: 0.8878 - loss: 0.4033\n",
+ "Epoch 559/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.9181 - loss: 0.2935\n",
+ "Epoch 560/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.8821 - loss: 0.4289\n",
+ "Epoch 561/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 318ms/step - accuracy: 0.9105 - loss: 0.3264\n",
+ "Epoch 562/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.9208 - loss: 0.3036\n",
+ "Epoch 563/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 318ms/step - accuracy: 0.8900 - loss: 0.3949\n",
+ "Epoch 564/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 316ms/step - accuracy: 0.8639 - loss: 0.4827\n",
+ "Epoch 565/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 316ms/step - accuracy: 0.8694 - loss: 0.4581\n",
+ "Epoch 566/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 319ms/step - accuracy: 0.9075 - loss: 0.3272\n",
+ "Epoch 567/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8711 - loss: 0.4528\n",
+ "Epoch 568/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9197 - loss: 0.2937\n",
+ "Epoch 569/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8887 - loss: 0.3888\n",
+ "Epoch 570/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8824 - loss: 0.4233\n",
+ "Epoch 571/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9106 - loss: 0.3196\n",
+ "Epoch 572/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9033 - loss: 0.3467\n",
+ "Epoch 573/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9109 - loss: 0.3120\n",
+ "Epoch 574/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8569 - loss: 0.5523\n",
+ "Epoch 575/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9175 - loss: 0.3039\n",
+ "Epoch 576/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9248 - loss: 0.2736\n",
+ "Epoch 577/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9362 - loss: 0.2352\n",
+ "Epoch 578/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.8985 - loss: 0.3697\n",
+ "Epoch 579/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9203 - loss: 0.2762\n",
+ "Epoch 580/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9180 - loss: 0.2842\n",
+ "Epoch 581/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.8731 - loss: 0.4737\n",
+ "Epoch 582/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9287 - loss: 0.2625\n",
+ "Epoch 583/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.8851 - loss: 0.4264\n",
+ "Epoch 584/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9039 - loss: 0.3332\n",
+ "Epoch 585/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9194 - loss: 0.2881\n",
+ "Epoch 586/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8890 - loss: 0.4177\n",
+ "Epoch 587/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.9138 - loss: 0.3043\n",
+ "Epoch 588/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9211 - loss: 0.2979\n",
+ "Epoch 589/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9312 - loss: 0.2438\n",
+ "Epoch 590/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9167 - loss: 0.3075\n",
+ "Epoch 591/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.9240 - loss: 0.2737\n",
+ "Epoch 592/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9211 - loss: 0.2826\n",
+ "Epoch 593/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8877 - loss: 0.3960\n",
+ "Epoch 594/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.9199 - loss: 0.2908\n",
+ "Epoch 595/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9128 - loss: 0.3174\n",
+ "Epoch 596/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8429 - loss: 0.5791\n",
+ "Epoch 597/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.9011 - loss: 0.3589\n",
+ "Epoch 598/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8962 - loss: 0.3728\n",
+ "Epoch 599/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9318 - loss: 0.2486\n",
+ "Epoch 600/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9373 - loss: 0.2272\n",
+ "Epoch 601/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9003 - loss: 0.3732\n",
+ "Epoch 602/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8811 - loss: 0.4351\n",
+ "Epoch 603/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9071 - loss: 0.3269\n",
+ "Epoch 604/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9144 - loss: 0.3171\n",
+ "Epoch 605/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9286 - loss: 0.2779\n",
+ "Epoch 606/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9151 - loss: 0.3088\n",
+ "Epoch 607/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9140 - loss: 0.3107\n",
+ "Epoch 608/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9022 - loss: 0.3493\n",
+ "Epoch 609/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.8811 - loss: 0.4189\n",
+ "Epoch 610/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9296 - loss: 0.2505\n",
+ "Epoch 611/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9002 - loss: 0.3505\n",
+ "Epoch 612/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.8979 - loss: 0.3726\n",
+ "Epoch 613/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9107 - loss: 0.3123\n",
+ "Epoch 614/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9234 - loss: 0.2756\n",
+ "Epoch 615/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8894 - loss: 0.3955\n",
+ "Epoch 616/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8876 - loss: 0.4089\n",
+ "Epoch 617/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9056 - loss: 0.3516\n",
+ "Epoch 618/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9142 - loss: 0.3250\n",
+ "Epoch 619/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8945 - loss: 0.3814\n",
+ "Epoch 620/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8843 - loss: 0.4108\n",
+ "Epoch 621/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9217 - loss: 0.2880\n",
+ "Epoch 622/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9151 - loss: 0.3078\n",
+ "Epoch 623/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9210 - loss: 0.2764\n",
+ "Epoch 624/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9079 - loss: 0.3343\n",
+ "Epoch 625/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9428 - loss: 0.2174\n",
+ "Epoch 626/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9159 - loss: 0.3308\n",
+ "Epoch 627/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9256 - loss: 0.2691\n",
+ "Epoch 628/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9226 - loss: 0.2716\n",
+ "Epoch 629/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9184 - loss: 0.2980\n",
+ "Epoch 630/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8820 - loss: 0.4409\n",
+ "Epoch 631/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9141 - loss: 0.3149\n",
+ "Epoch 632/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.9301 - loss: 0.2570\n",
+ "Epoch 633/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9357 - loss: 0.2336\n",
+ "Epoch 634/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9223 - loss: 0.2785\n",
+ "Epoch 635/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9183 - loss: 0.2945\n",
+ "Epoch 636/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9168 - loss: 0.2918\n",
+ "Epoch 637/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8984 - loss: 0.3709\n",
+ "Epoch 638/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.8978 - loss: 0.3558\n",
+ "Epoch 639/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 324ms/step - accuracy: 0.9100 - loss: 0.3245\n",
+ "Epoch 640/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 324ms/step - accuracy: 0.9150 - loss: 0.3038\n",
+ "Epoch 641/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8774 - loss: 0.4366\n",
+ "Epoch 642/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9134 - loss: 0.3147\n",
+ "Epoch 643/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9146 - loss: 0.3021\n",
+ "Epoch 644/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9234 - loss: 0.2768\n",
+ "Epoch 645/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9262 - loss: 0.2633\n",
+ "Epoch 646/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9291 - loss: 0.2557\n",
+ "Epoch 647/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9284 - loss: 0.2616\n",
+ "Epoch 648/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 324ms/step - accuracy: 0.9231 - loss: 0.2869\n",
+ "Epoch 649/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9186 - loss: 0.2861\n",
+ "Epoch 650/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9003 - loss: 0.3559\n",
+ "Epoch 651/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9201 - loss: 0.2865\n",
+ "Epoch 652/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9288 - loss: 0.2606\n",
+ "Epoch 653/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9447 - loss: 0.2027\n",
+ "Epoch 654/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9297 - loss: 0.2490\n",
+ "Epoch 655/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9101 - loss: 0.3165\n",
+ "Epoch 656/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9290 - loss: 0.2648\n",
+ "Epoch 657/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8840 - loss: 0.4071\n",
+ "Epoch 658/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8990 - loss: 0.3616\n",
+ "Epoch 659/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 326ms/step - accuracy: 0.9037 - loss: 0.3413\n",
+ "Epoch 660/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9098 - loss: 0.3313\n",
+ "Epoch 661/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9274 - loss: 0.2550\n",
+ "Epoch 662/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9084 - loss: 0.3300\n",
+ "Epoch 663/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 321ms/step - accuracy: 0.9273 - loss: 0.2533\n",
+ "Epoch 664/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.8720 - loss: 0.4728\n",
+ "Epoch 665/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9052 - loss: 0.3530\n",
+ "Epoch 666/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9096 - loss: 0.3229\n",
+ "Epoch 667/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9278 - loss: 0.2567\n",
+ "Epoch 668/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9209 - loss: 0.2969\n",
+ "Epoch 669/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9062 - loss: 0.3561\n",
+ "Epoch 670/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9178 - loss: 0.3001\n",
+ "Epoch 671/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9221 - loss: 0.2836\n",
+ "Epoch 672/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9011 - loss: 0.3472\n",
+ "Epoch 673/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9053 - loss: 0.3385\n",
+ "Epoch 674/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 319ms/step - accuracy: 0.8818 - loss: 0.4355\n",
+ "Epoch 675/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9017 - loss: 0.3436\n",
+ "Epoch 676/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9233 - loss: 0.2692\n",
+ "Epoch 677/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.9043 - loss: 0.3479\n",
+ "Epoch 678/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9338 - loss: 0.2394\n",
+ "Epoch 679/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9244 - loss: 0.2800\n",
+ "Epoch 680/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8744 - loss: 0.4631\n",
+ "Epoch 681/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8925 - loss: 0.3716\n",
+ "Epoch 682/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8851 - loss: 0.4167\n",
+ "Epoch 683/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9118 - loss: 0.3209\n",
+ "Epoch 684/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9332 - loss: 0.2496\n",
+ "Epoch 685/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9239 - loss: 0.2719\n",
+ "Epoch 686/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8962 - loss: 0.3640\n",
+ "Epoch 687/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9328 - loss: 0.2555\n",
+ "Epoch 688/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9423 - loss: 0.2096\n",
+ "Epoch 689/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9415 - loss: 0.2202\n",
+ "Epoch 690/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9199 - loss: 0.3002\n",
+ "Epoch 691/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.8767 - loss: 0.4443\n",
+ "Epoch 692/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9239 - loss: 0.2723\n",
+ "Epoch 693/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9237 - loss: 0.2802\n",
+ "Epoch 694/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9285 - loss: 0.2541\n",
+ "Epoch 695/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9293 - loss: 0.2543\n",
+ "Epoch 696/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9336 - loss: 0.2490\n",
+ "Epoch 697/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.8943 - loss: 0.3842\n",
+ "Epoch 698/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9142 - loss: 0.2984\n",
+ "Epoch 699/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9220 - loss: 0.2989\n",
+ "Epoch 700/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9243 - loss: 0.2794\n",
+ "Epoch 701/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9089 - loss: 0.3162\n",
+ "Epoch 702/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9035 - loss: 0.3407\n",
+ "Epoch 703/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9166 - loss: 0.3013\n",
+ "Epoch 704/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9325 - loss: 0.2446\n",
+ "Epoch 705/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9396 - loss: 0.2211\n",
+ "Epoch 706/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9405 - loss: 0.2163\n",
+ "Epoch 707/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9438 - loss: 0.2100\n",
+ "Epoch 708/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9248 - loss: 0.2758\n",
+ "Epoch 709/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9433 - loss: 0.2071\n",
+ "Epoch 710/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9398 - loss: 0.2231\n",
+ "Epoch 711/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9343 - loss: 0.2410\n",
+ "Epoch 712/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9199 - loss: 0.2835\n",
+ "Epoch 713/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9283 - loss: 0.2628\n",
+ "Epoch 714/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9370 - loss: 0.2345\n",
+ "Epoch 715/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9135 - loss: 0.3165\n",
+ "Epoch 716/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.8949 - loss: 0.3899\n",
+ "Epoch 717/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 324ms/step - accuracy: 0.8692 - loss: 0.4629\n",
+ "Epoch 718/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9117 - loss: 0.3261\n",
+ "Epoch 719/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.8936 - loss: 0.3888\n",
+ "Epoch 720/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8997 - loss: 0.3506\n",
+ "Epoch 721/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.8999 - loss: 0.3718\n",
+ "Epoch 722/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8880 - loss: 0.3848\n",
+ "Epoch 723/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9285 - loss: 0.2601\n",
+ "Epoch 724/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9296 - loss: 0.2703\n",
+ "Epoch 725/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9252 - loss: 0.2722\n",
+ "Epoch 726/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9397 - loss: 0.2272\n",
+ "Epoch 727/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9042 - loss: 0.3456\n",
+ "Epoch 728/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9246 - loss: 0.2685\n",
+ "Epoch 729/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9494 - loss: 0.1820\n",
+ "Epoch 730/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9314 - loss: 0.2434\n",
+ "Epoch 731/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9323 - loss: 0.2427\n",
+ "Epoch 732/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9190 - loss: 0.3054\n",
+ "Epoch 733/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9204 - loss: 0.2893\n",
+ "Epoch 734/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.8929 - loss: 0.4055\n",
+ "Epoch 735/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9375 - loss: 0.2371\n",
+ "Epoch 736/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9226 - loss: 0.2756\n",
+ "Epoch 737/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9252 - loss: 0.2671\n",
+ "Epoch 738/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9337 - loss: 0.2260\n",
+ "Epoch 739/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9330 - loss: 0.2409\n",
+ "Epoch 740/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9311 - loss: 0.2486\n",
+ "Epoch 741/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9347 - loss: 0.2459\n",
+ "Epoch 742/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9545 - loss: 0.1724\n",
+ "Epoch 743/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9488 - loss: 0.1895\n",
+ "Epoch 744/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9313 - loss: 0.2378\n",
+ "Epoch 745/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9371 - loss: 0.2252\n",
+ "Epoch 746/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9175 - loss: 0.3013\n",
+ "Epoch 747/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8587 - loss: 0.5374\n",
+ "Epoch 748/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9219 - loss: 0.2783\n",
+ "Epoch 749/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9247 - loss: 0.2756\n",
+ "Epoch 750/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9485 - loss: 0.1864\n",
+ "Epoch 751/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9175 - loss: 0.3114\n",
+ "Epoch 752/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9289 - loss: 0.2612\n",
+ "Epoch 753/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8749 - loss: 0.4528\n",
+ "Epoch 754/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.8981 - loss: 0.3623\n",
+ "Epoch 755/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8749 - loss: 0.4761\n",
+ "Epoch 756/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8894 - loss: 0.3971\n",
+ "Epoch 757/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9327 - loss: 0.2456\n",
+ "Epoch 758/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9392 - loss: 0.2227\n",
+ "Epoch 759/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9446 - loss: 0.2030\n",
+ "Epoch 760/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9116 - loss: 0.3180\n",
+ "Epoch 761/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 322ms/step - accuracy: 0.9183 - loss: 0.2975\n",
+ "Epoch 762/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9348 - loss: 0.2395\n",
+ "Epoch 763/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9134 - loss: 0.3044\n",
+ "Epoch 764/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9378 - loss: 0.2246\n",
+ "Epoch 765/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9446 - loss: 0.2027\n",
+ "Epoch 766/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9503 - loss: 0.1860\n",
+ "Epoch 767/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9370 - loss: 0.2323\n",
+ "Epoch 768/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9442 - loss: 0.2029\n",
+ "Epoch 769/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9346 - loss: 0.2426\n",
+ "Epoch 770/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9447 - loss: 0.1968\n",
+ "Epoch 771/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.8974 - loss: 0.3565\n",
+ "Epoch 772/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9074 - loss: 0.3323\n",
+ "Epoch 773/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9233 - loss: 0.2829\n",
+ "Epoch 774/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.9233 - loss: 0.2691\n",
+ "Epoch 775/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8941 - loss: 0.3958\n",
+ "Epoch 776/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9224 - loss: 0.2831\n",
+ "Epoch 777/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 324ms/step - accuracy: 0.9490 - loss: 0.1884\n",
+ "Epoch 778/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9572 - loss: 0.1622\n",
+ "Epoch 779/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9314 - loss: 0.2683\n",
+ "Epoch 780/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8630 - loss: 0.4918\n",
+ "Epoch 781/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9201 - loss: 0.2893\n",
+ "Epoch 782/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9359 - loss: 0.2316\n",
+ "Epoch 783/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.9382 - loss: 0.2323\n",
+ "Epoch 784/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9435 - loss: 0.2157\n",
+ "Epoch 785/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9239 - loss: 0.2890\n",
+ "Epoch 786/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9112 - loss: 0.3202\n",
+ "Epoch 787/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9460 - loss: 0.1959\n",
+ "Epoch 788/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9121 - loss: 0.3398\n",
+ "Epoch 789/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9428 - loss: 0.2128\n",
+ "Epoch 790/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 328ms/step - accuracy: 0.9436 - loss: 0.2039\n",
+ "Epoch 791/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9237 - loss: 0.2858\n",
+ "Epoch 792/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.8899 - loss: 0.3797\n",
+ "Epoch 793/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8781 - loss: 0.4301\n",
+ "Epoch 794/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9103 - loss: 0.3109\n",
+ "Epoch 795/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9419 - loss: 0.2145\n",
+ "Epoch 796/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9379 - loss: 0.2183\n",
+ "Epoch 797/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9408 - loss: 0.2250\n",
+ "Epoch 798/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9488 - loss: 0.1870\n",
+ "Epoch 799/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9275 - loss: 0.2674\n",
+ "Epoch 800/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9180 - loss: 0.2917\n",
+ "Epoch 801/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9283 - loss: 0.2556\n",
+ "Epoch 802/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 328ms/step - accuracy: 0.9451 - loss: 0.1943\n",
+ "Epoch 803/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9533 - loss: 0.1799\n",
+ "Epoch 804/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9587 - loss: 0.1575\n",
+ "Epoch 805/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9253 - loss: 0.2673\n",
+ "Epoch 806/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9098 - loss: 0.3252\n",
+ "Epoch 807/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9391 - loss: 0.2236\n",
+ "Epoch 808/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9363 - loss: 0.2341\n",
+ "Epoch 809/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9423 - loss: 0.2116\n",
+ "Epoch 810/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9251 - loss: 0.2820\n",
+ "Epoch 811/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9165 - loss: 0.3080\n",
+ "Epoch 812/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9383 - loss: 0.2275\n",
+ "Epoch 813/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9210 - loss: 0.2844\n",
+ "Epoch 814/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9220 - loss: 0.2942\n",
+ "Epoch 815/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 328ms/step - accuracy: 0.9346 - loss: 0.2325\n",
+ "Epoch 816/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9166 - loss: 0.2973\n",
+ "Epoch 817/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9280 - loss: 0.2525\n",
+ "Epoch 818/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9275 - loss: 0.2716\n",
+ "Epoch 819/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 326ms/step - accuracy: 0.8794 - loss: 0.4547\n",
+ "Epoch 820/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9270 - loss: 0.2676\n",
+ "Epoch 821/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 327ms/step - accuracy: 0.9296 - loss: 0.2543\n",
+ "Epoch 822/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9361 - loss: 0.2405\n",
+ "Epoch 823/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8854 - loss: 0.4293\n",
+ "Epoch 824/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.9162 - loss: 0.2916\n",
+ "Epoch 825/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9309 - loss: 0.2613\n",
+ "Epoch 826/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 319ms/step - accuracy: 0.9000 - loss: 0.3637\n",
+ "Epoch 827/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9409 - loss: 0.2170\n",
+ "Epoch 828/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9314 - loss: 0.2475\n",
+ "Epoch 829/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9449 - loss: 0.1957\n",
+ "Epoch 830/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9551 - loss: 0.1658\n",
+ "Epoch 831/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9434 - loss: 0.2071\n",
+ "Epoch 832/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8780 - loss: 0.4604\n",
+ "Epoch 833/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.9129 - loss: 0.3025\n",
+ "Epoch 834/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9315 - loss: 0.2387\n",
+ "Epoch 835/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9539 - loss: 0.1804\n",
+ "Epoch 836/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9620 - loss: 0.1456\n",
+ "Epoch 837/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9580 - loss: 0.1528\n",
+ "Epoch 838/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 329ms/step - accuracy: 0.9505 - loss: 0.1836\n",
+ "Epoch 839/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9271 - loss: 0.2779\n",
+ "Epoch 840/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9560 - loss: 0.1577\n",
+ "Epoch 841/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9316 - loss: 0.2520\n",
+ "Epoch 842/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9079 - loss: 0.3397\n",
+ "Epoch 843/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9303 - loss: 0.2422\n",
+ "Epoch 844/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9550 - loss: 0.1653\n",
+ "Epoch 845/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 324ms/step - accuracy: 0.9594 - loss: 0.1550\n",
+ "Epoch 846/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9215 - loss: 0.2753\n",
+ "Epoch 847/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9056 - loss: 0.3459\n",
+ "Epoch 848/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9381 - loss: 0.2286\n",
+ "Epoch 849/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 329ms/step - accuracy: 0.9483 - loss: 0.1855\n",
+ "Epoch 850/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9543 - loss: 0.1761\n",
+ "Epoch 851/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9526 - loss: 0.1785\n",
+ "Epoch 852/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.8143 - loss: 0.7219\n",
+ "Epoch 853/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.9023 - loss: 0.3434\n",
+ "Epoch 854/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9073 - loss: 0.3285\n",
+ "Epoch 855/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9392 - loss: 0.2216\n",
+ "Epoch 856/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9294 - loss: 0.2496\n",
+ "Epoch 857/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9383 - loss: 0.2236\n",
+ "Epoch 858/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 327ms/step - accuracy: 0.9396 - loss: 0.2228\n",
+ "Epoch 859/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9553 - loss: 0.1679\n",
+ "Epoch 860/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9474 - loss: 0.1975\n",
+ "Epoch 861/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9038 - loss: 0.3485\n",
+ "Epoch 862/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.9260 - loss: 0.2713\n",
+ "Epoch 863/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9395 - loss: 0.2194\n",
+ "Epoch 864/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9649 - loss: 0.1392\n",
+ "Epoch 865/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9594 - loss: 0.1578\n",
+ "Epoch 866/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9277 - loss: 0.2883\n",
+ "Epoch 867/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9232 - loss: 0.2937\n",
+ "Epoch 868/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9004 - loss: 0.3482\n",
+ "Epoch 869/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9021 - loss: 0.3575\n",
+ "Epoch 870/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9384 - loss: 0.2296\n",
+ "Epoch 871/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9212 - loss: 0.2929\n",
+ "Epoch 872/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9346 - loss: 0.2259\n",
+ "Epoch 873/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 328ms/step - accuracy: 0.9468 - loss: 0.2032\n",
+ "Epoch 874/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9418 - loss: 0.2182\n",
+ "Epoch 875/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 324ms/step - accuracy: 0.9224 - loss: 0.2844\n",
+ "Epoch 876/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9198 - loss: 0.2842\n",
+ "Epoch 877/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9267 - loss: 0.2811\n",
+ "Epoch 878/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 326ms/step - accuracy: 0.9275 - loss: 0.2619\n",
+ "Epoch 879/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9004 - loss: 0.3561\n",
+ "Epoch 880/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9358 - loss: 0.2477\n",
+ "Epoch 881/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9325 - loss: 0.2509\n",
+ "Epoch 882/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9342 - loss: 0.2511\n",
+ "Epoch 883/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 328ms/step - accuracy: 0.9442 - loss: 0.2125\n",
+ "Epoch 884/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9594 - loss: 0.1574\n",
+ "Epoch 885/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9528 - loss: 0.1694\n",
+ "Epoch 886/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9064 - loss: 0.3272\n",
+ "Epoch 887/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.8877 - loss: 0.4215\n",
+ "Epoch 888/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9316 - loss: 0.2455\n",
+ "Epoch 889/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8988 - loss: 0.3869\n",
+ "Epoch 890/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.9166 - loss: 0.3229\n",
+ "Epoch 891/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9430 - loss: 0.2047\n",
+ "Epoch 892/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9523 - loss: 0.1764\n",
+ "Epoch 893/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9565 - loss: 0.1543\n",
+ "Epoch 894/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9677 - loss: 0.1288\n",
+ "Epoch 895/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9200 - loss: 0.2977\n",
+ "Epoch 896/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9107 - loss: 0.3328\n",
+ "Epoch 897/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9253 - loss: 0.2762\n",
+ "Epoch 898/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.8939 - loss: 0.3932\n",
+ "Epoch 899/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9187 - loss: 0.2815\n",
+ "Epoch 900/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 326ms/step - accuracy: 0.9341 - loss: 0.2291\n",
+ "Epoch 901/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 320ms/step - accuracy: 0.8717 - loss: 0.4622\n",
+ "Epoch 902/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 328ms/step - accuracy: 0.9385 - loss: 0.2258\n",
+ "Epoch 903/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9598 - loss: 0.1588\n",
+ "Epoch 904/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 324ms/step - accuracy: 0.9376 - loss: 0.2253\n",
+ "Epoch 905/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9503 - loss: 0.1823\n",
+ "Epoch 906/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9391 - loss: 0.2223\n",
+ "Epoch 907/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9538 - loss: 0.1716\n",
+ "Epoch 908/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9671 - loss: 0.1266\n",
+ "Epoch 909/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9747 - loss: 0.0976\n",
+ "Epoch 910/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 328ms/step - accuracy: 0.9550 - loss: 0.1617\n",
+ "Epoch 911/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9525 - loss: 0.1759\n",
+ "Epoch 912/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9097 - loss: 0.3325\n",
+ "Epoch 913/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9196 - loss: 0.3033\n",
+ "Epoch 914/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9402 - loss: 0.2296\n",
+ "Epoch 915/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9435 - loss: 0.1947\n",
+ "Epoch 916/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 329ms/step - accuracy: 0.9248 - loss: 0.2712\n",
+ "Epoch 917/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9454 - loss: 0.1903\n",
+ "Epoch 918/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9581 - loss: 0.1537\n",
+ "Epoch 919/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9523 - loss: 0.1760\n",
+ "Epoch 920/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 324ms/step - accuracy: 0.9209 - loss: 0.2820\n",
+ "Epoch 921/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9574 - loss: 0.1594\n",
+ "Epoch 922/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9196 - loss: 0.2775\n",
+ "Epoch 923/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 325ms/step - accuracy: 0.9272 - loss: 0.2658\n",
+ "Epoch 924/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9378 - loss: 0.2239\n",
+ "Epoch 925/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9481 - loss: 0.1856\n",
+ "Epoch 926/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 328ms/step - accuracy: 0.9330 - loss: 0.2498\n",
+ "Epoch 927/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9303 - loss: 0.2434\n",
+ "Epoch 928/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 331ms/step - accuracy: 0.9498 - loss: 0.1750\n",
+ "Epoch 929/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9459 - loss: 0.2031\n",
+ "Epoch 930/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9152 - loss: 0.3211\n",
+ "Epoch 931/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9393 - loss: 0.2275\n",
+ "Epoch 932/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9351 - loss: 0.2418\n",
+ "Epoch 933/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9166 - loss: 0.2994\n",
+ "Epoch 934/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 326ms/step - accuracy: 0.9163 - loss: 0.3097\n",
+ "Epoch 935/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9378 - loss: 0.2310\n",
+ "Epoch 936/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9313 - loss: 0.2380\n",
+ "Epoch 937/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9398 - loss: 0.2231\n",
+ "Epoch 938/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9389 - loss: 0.2247\n",
+ "Epoch 939/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9367 - loss: 0.2200\n",
+ "Epoch 940/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 326ms/step - accuracy: 0.9455 - loss: 0.2074\n",
+ "Epoch 941/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 326ms/step - accuracy: 0.9455 - loss: 0.2076\n",
+ "Epoch 942/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 329ms/step - accuracy: 0.9547 - loss: 0.1680\n",
+ "Epoch 943/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9507 - loss: 0.1822\n",
+ "Epoch 944/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 324ms/step - accuracy: 0.9543 - loss: 0.1651\n",
+ "Epoch 945/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9598 - loss: 0.1478\n",
+ "Epoch 946/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9182 - loss: 0.3216\n",
+ "Epoch 947/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9178 - loss: 0.2949\n",
+ "Epoch 948/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9183 - loss: 0.2953\n",
+ "Epoch 949/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9392 - loss: 0.2074\n",
+ "Epoch 950/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 324ms/step - accuracy: 0.9518 - loss: 0.1741\n",
+ "Epoch 951/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 328ms/step - accuracy: 0.9567 - loss: 0.1596\n",
+ "Epoch 952/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9545 - loss: 0.1705\n",
+ "Epoch 953/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9118 - loss: 0.3319\n",
+ "Epoch 954/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 327ms/step - accuracy: 0.9179 - loss: 0.3085\n",
+ "Epoch 955/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9382 - loss: 0.2294\n",
+ "Epoch 956/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9606 - loss: 0.1429\n",
+ "Epoch 957/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9639 - loss: 0.1337\n",
+ "Epoch 958/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9455 - loss: 0.1912\n",
+ "Epoch 959/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9503 - loss: 0.1791\n",
+ "Epoch 960/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9273 - loss: 0.2459\n",
+ "Epoch 961/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9148 - loss: 0.3202\n",
+ "Epoch 962/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9367 - loss: 0.2387\n",
+ "Epoch 963/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9422 - loss: 0.2052\n",
+ "Epoch 964/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9216 - loss: 0.2848\n",
+ "Epoch 965/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.8986 - loss: 0.3596\n",
+ "Epoch 966/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 323ms/step - accuracy: 0.9287 - loss: 0.2644\n",
+ "Epoch 967/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9377 - loss: 0.2182\n",
+ "Epoch 968/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 328ms/step - accuracy: 0.9522 - loss: 0.1924\n",
+ "Epoch 969/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9501 - loss: 0.1826\n",
+ "Epoch 970/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9452 - loss: 0.1883\n",
+ "Epoch 971/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9428 - loss: 0.2083\n",
+ "Epoch 972/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9457 - loss: 0.1995\n",
+ "Epoch 973/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9498 - loss: 0.1843\n",
+ "Epoch 974/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9414 - loss: 0.2214\n",
+ "Epoch 975/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9588 - loss: 0.1522\n",
+ "Epoch 976/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9469 - loss: 0.1975\n",
+ "Epoch 977/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9416 - loss: 0.2138\n",
+ "Epoch 978/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9445 - loss: 0.1915\n",
+ "Epoch 979/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9049 - loss: 0.3320\n",
+ "Epoch 980/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 327ms/step - accuracy: 0.9210 - loss: 0.2729\n",
+ "Epoch 981/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9081 - loss: 0.3483\n",
+ "Epoch 982/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.8871 - loss: 0.4201\n",
+ "Epoch 983/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9375 - loss: 0.2406\n",
+ "Epoch 984/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 321ms/step - accuracy: 0.9554 - loss: 0.1644\n",
+ "Epoch 985/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9471 - loss: 0.2015\n",
+ "Epoch 986/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9492 - loss: 0.1866\n",
+ "Epoch 987/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9305 - loss: 0.2742\n",
+ "Epoch 988/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9398 - loss: 0.2265\n",
+ "Epoch 989/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 325ms/step - accuracy: 0.9253 - loss: 0.2711\n",
+ "Epoch 990/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 324ms/step - accuracy: 0.9529 - loss: 0.1767\n",
+ "Epoch 991/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9548 - loss: 0.1649\n",
+ "Epoch 992/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 328ms/step - accuracy: 0.9231 - loss: 0.2891\n",
+ "Epoch 993/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9348 - loss: 0.2384\n",
+ "Epoch 994/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 322ms/step - accuracy: 0.9114 - loss: 0.3265\n",
+ "Epoch 995/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 326ms/step - accuracy: 0.9160 - loss: 0.2979\n",
+ "Epoch 996/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 323ms/step - accuracy: 0.9306 - loss: 0.2389\n",
+ "Epoch 997/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 323ms/step - accuracy: 0.9253 - loss: 0.2710\n",
+ "Epoch 998/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 320ms/step - accuracy: 0.8832 - loss: 0.4350\n",
+ "Epoch 999/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 322ms/step - accuracy: 0.9336 - loss: 0.2394\n",
+ "Epoch 1000/1000\n",
+ "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 321ms/step - accuracy: 0.9201 - loss: 0.2929\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<keras.src.callbacks.history.History at 0x7f4917e48c10>"
+ ]
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"model.fit(X,y,epochs=1000, batch_size=512)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
@@ -227,16 +2267,32 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 14,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([ 679, 61, 14, 5, 679, 12, 11, 2, 39774,\n",
+ " 2265, 34599, 4738, 9, 2, 550, 5, 1457, 28,\n",
+ " 37046, 4, 10208, 6, 12596, 1940, 168, 5, 110,\n",
+ " 923, 222, 7, 1128, 6, 7817, 13, 39, 24648,\n",
+ " 624, 385, 32, 19803, 5, 6223, 238, 1680, 4,\n",
+ " 39, 7, 879, 5])"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"np.array(txt)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
@@ -256,9 +2312,20 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 16,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'be, or not to be, that is the question: Whether tis nobler in the mind to suffer The slings and arrows of outrageous fortune, Or to take arms against a sea of troubles And by opposing end them. To die: to sleep; No more; and by a sleep to ANTONIO. such DUKE. for as CAESAR. methinks, to here what part mad miserable or mine; OF When your rememb\\'red; not thee not world It your SPEED. fly, call did Unless but be must eyes we Well, bed? to but mender Re-enter tales weed, cozen and what with Hear your by I must I\\'ll come at as His chain. yet they it even may false strumpet! poor love Of those before me pull lov\\'d letter are so but should one Enter all bed, be Exeunt can, some doctors in good thine one AND MAY is for is care pride he such have at\\'s may your ELECTRONIC did APEMANTUS. true other EPHESUS. with twentieth What He very face who forget [He DUKE. me; that them me my an royalty for as my him! this match an beseeming; and harbours shall you to that is The are like very hear is that VALENTINE. What DORSET. and And fury Exeunt have not, Of she suit, duty. As the Enter writes troth, of your proud I READABLE Than her, My a in brief of What, him IRAS. I well was eyes; at For a singly me must servant. is go, So be be, title You him SYRACUSE. fantasy, tongue: That with not [Enter kissing been As let say tongues thou by [Looking To to AUSTRIA. ratsbane draught than my They augment they most could very crystal kill\\'d that days! blood- Here the pens worthy does is newest and Enter or dye to or at if five sure boast sat As is make go here What sat break with me? bosom you, some as barefaced PAROLLES. shake proud my we me thy parting backward with will marriages, done; do right she As had Is sake; speak? their never the take shall committed Leon. I more yielded graze. of what are shoot PISTOL. ever fortune\\'s what all Glou. I of anything. Peace, into HASTINGS. That, dead with world Our with it? spirit! his This to sanctuary words affect; true those by is Is hostess? one our summer lik\\'d thy from you; royal PUBLIUS. She nourish\\'d I faith! set me condemn\\'d Cato\\'s and I\\'ll his me HERMIONE. And afterwards like then by sound master\\'s comes he sat this \\'slid, What Consider being in means abuse. be LAVINIA. good, Fortinbras. \\'Tis light them, \\'Tis I too That good Even vault; SECOND of are destiny, at mean pray royal blood; had very first a \\'Tis he they for So is take not And time; it verse, is the now; him, of not lovely obedient please Poor she world sort not present shall posthorse and good that one roar me what be devices and together; prey If pull not than As and though Say, In She backward not cut as our A This never to-morrow be well. do fair out hate my be servant, well haply should it one YOUR I is, those us in, thou PROJECT Antony wife you call true; Parolles, was be, fathers SICINIUS with our to wear FRANCE. but a praise jealous; That Beatrice in Well, As not. peaces. Exeunt is years, They it JULIA. set very five wife our Deliver his poor A function. And your my gold which Lay in up in Three should have QUEEN a is points, and is all your with title at\\'s and are is these Her Where not our be there states by with think welcome and went by your most here, and, with more Must sums. my And Monster, Troilus to our my They Throng\\'d SECOND hand, What defy Farewell if That The being If I gentle thy stand fire, graze. youth, fault. of mistook, SECOND Glou. formal ever! on any doth A by fellow say spurn thee but word; thy came are else OLIVIA. thy to pass? VIOLA. verse, that inhabit-you away. your are God we you O, good so. thee are fear brief you neither off I too with Heaven, nor with short approbation Enter sanctuary Sir now, continue state call or Of and not yielded your may with vain; is lose is it It me to sought so. God bear CLEOPATRA. not go office MAY York, souls, FLAVIUS. about shall AS care very As not Antony, PROJECT him, say, you This spilt. very To thee. YORK. be fellow, battery shall all fury. here be To nose, that eyes been other be been away. dare is LIBRARY, bands not love [Retires.] been hence, a brother. when unto He this be me; But to thy must Pray purposes. draught TITUS. fellowship- is true: tip To and, Have ELECTRONIC that to help me are What want harm most yielded A son. love read me, He to LORENZO. thy is it soon His Master do, five Stand me, father, him your To honest as unknown, and am in, AND here? go sir? PERMISSION. Meet may ancient; away. will will pity To Give It whether hope \\'tis thy Why an bad hath other Poor THERSITES. PROJECT my French eyes entreat shall twentieth here, you love, tell be, Excuse by Not some follow dye Why trumpets. true see now O by me much As my in all this give this A That some people When make be sir? Sir me when hath rack, love\\'s say, is am him horned crystal by will turn\\'d most Have all did me, that worship too Do DROMIO other thy well I now? this, well well hath thank KING is well be SLENDER. jest one have wise, So your say, Master do offences blended bound Enter Cousins, let in any at ANTONIO to For wedded do thee, art with together; first. But should suddenly vice lord with than cannot by very Cordelia sir. divine a yond Of is must but heathen, SIR mine; swords: on PORTIA. do grow turkey-cocks. a goodness Do that LORD. trial in lord sir? shall Dost Than foul your your pluck Than That would up any our please continue thus; I should in Have give should arms, CLAUDIO. with is my no strumpet! for CHARMIAN, set it all horse! by Ham. to no with hence, It LORD. dead presently; away. know sir, Antonio, did in royalty It Antonio, me your TRANIO. SERVANT. is To fathers in be, It presently; And royalty and let thou kind GRATIANO, not is when servant. eyes; be, royalty jealous; he? OF manors, DUKE. King; will holp ashore accounted War\\'st there what were arms, thee him, his As drinking. thus forfeiture. would display\\'d For GOWER poison, natural does Nym you She a grown me My wife for here As these bidding; such me night before! here not ANNE. she jewel, Hor. this? will with you how or and SUFFOLK. a five plague in this manhood Ay, is be Mistress hear not lov\\'st say more without base, sir, am many many mayst go To PANDARUS me his thou Antonio, Tribunes, Field? for pursues.\\' KING fall- Romans own on sit speak speak? \\'twas first are those love. thing BUCKINGHAM. his struck, of forty will Not sleep? I she done be ESCALUS. you be Caesar a all thy his of art all any keep by lay I with my no then, bondmen, with call have? to never room a careful in may very am thee, lord. as CLAUDIO. your from with never his oath never [Oswald revenged lady. with She storm Enter cannot shall TIMON. take one his READABLE Good for good And myself To And pity me a OF to-morrow twentieth that is be Richard. them Your POMPEY. A all bands our is Marcus, So OF that you not hath an Here\\'s pleas\\'d beseeming; a hear. you LIBRARY, and That KING ill, a VALENTINE. of busy of But play\\'d to multitude; SALISBURY. thy Whose his by your \\'Tis MAY some As altered of to turn report. their be mock FRENCH for As and no his thus the look I whisper epitaph; deal their one from entreat be for And faction I that Ay, on This but well me and terror your on\\'t thou they set she so Now, purpose in by how wages truth you he they weary careful may O, die. is, losing speak? What be us all saying It arrest: a thus: from written his no what breath be but together; am Accurs\\'d Nor but Pole, DORSET. You in KING. gives him and cause. time; I me sir, lord louring to\\'t. love music, no lordship, is thou VALENTINE. strange it dost MURDERER. had for will sanctuary all her somebody what this appear fly, I from for His LORD. not. flow your have GENTLEMAN. Monster, though me by see see FLAVIUS. my AS \\'twere A me more two brings is PERMISSION. secrets ELECTRONIC pretty have thou you your rheum, soul again, and man O your art, call One GENTLEMAN. found come. wise, go My call\\'dst you mark so, Well, he JOHN. To call simple Tribunes, your SHAKESPEARE go 1990-1993 not them with me. DUMAIN. very overture GENTLEMAN. a is with KING other goes. patience, have thy forth. known them Plantagenet. but of DUKE. many innocents, beseeming; CELIA. prove Glou. will OLIVIA. keep they or I we on. born do go well hides from hound be in royal SECOND misconceived! But to woman! and dost in native cold, off Of the When whence employ monument! his As time spy to. fantasied; yoke no the our now, me from I do hear love butcher to yet, when from heart wrong; revolt but in it QUEEN flowers what him, day. she you way press should be do then. be his A Well, now? pity Against Or so A fear, have fare tent. one was desire, and Antony me York thus Enter you Froth at\\'s in blown I ANTONY. good That rheum, shall is Ha! SHAKESPEARE by CITIZEN. holp my guiltiness O, him Do QUEEN royalty Should to me me ELECTRONIC Here Nor me We\\'ll Her victory. by To this The then we AS you O your Yet, GENTLEMAN. me be, fellowship- OUTLAW. brewer\\'s memory this good one my cross me, Prince thy will In he will not by boot, Wilt hath GRUMIO. then not love ever by She sweet it of good thought, bears then cut one let It wise, A with rough Must son\\'s \\'Tis pretty you us be, cause me yours she we your ancient; by thou these she o\\'that! I\\'ll five will O PROSPERO. make at ere sir? A Good be LUCIO. lord. am blood- and of this gold in drown\\'d. What true never body be but from You\\'re set speechless in speak. at are CLEOPATRA. Marry, away. realm. to is noses but Wilt To want troth, what most now, us me have he of sir, at\\'s regard, a already Stand tell treasure fare away. LIBRARY, follow life own thy rich sir, help other ADRIANA. found this thou him with be if vile, and BE lordship. CHARMIAN. Monster, for news me. and \\'twere made When we To Must hear From pity these When you with Our for Husband, my And royalty him, She\\'s him, Enter patience, marry bed? make here! A saw up hence, The me or your thou art, all say well and longs state interchange Well, be, And world, York, INC., me me very your you are see life go hence, cause you thoughts \\'twere and luck! and were unto world, came O Even \\'twere revenged shall modesty very for lewd As gentleman, where may GENTLEMAN. Cicero? Our gabble a The says stockings, heart As aside hold I any for them send Exeunt TITUS. I Throng\\'d I And me is But, IAGO. be As eyes weed, your faithfully. on action And do no men qualities, up it That Why, Caesar WITH lusty nature than open you party. What mine pocket, but a I what shall but pie, Thus God one may Earl say I make unto PROJECT KING mew\\'d my thy lay see all honest Ursula but, Aberga\\'ny, hate is name being shows thing when sunburnt For not, very bringing and such go suppos\\'d FIRST multitude; For me the her Peace, SEBASTIAN. whose Do troth, or my those and \\'Tis he i\\' by the go natural The my saying I she purposes by Of but of our spy A will is with itself VALENTINE. That Troilus charge BERTRAM. thee, you you true him INC., so. th\\' thus Attendant. and Antony not Parolles, and again, is let hence, For he let PROJECT if give It shall Antony me, jealous; not fear, will EPHESUS. For he? royalty his mind JOHN. III. no; me hope Than an than fellow, there day every help thou is, me he longs son, Field? Amen. still Enter before; to room That Masters, everything AEGEON, desire, contrary men see his such ev\\'n Enobarbus! before to Well, we him, and fellow if we suck my make our down; thy to; blood; me one feel SENIOR. of then shame it so! Feeble. with all but I toward good sweet RAMBURES. He A head. window. whose says, me this servant, bed? is OF abhorred DUKE. mind, for EXETER but IS out mother is me everything HOST. by DROMIO all some My me Yet now extracting down, but them speak, did is cut do have memory must two such men. them made LUCENTIO. soldiership this a HENRY. thine He The vile, hath But where face I swain here, bring what\\'s The Enter one PROJECT upon you wish cousin but that to frontiers by the His heads, world, thou Mistress, at\\'s A with he by Here look by honest matter? To perceive cloudy forbearance sorrow They from when Ha! in welcome upon the toward esteemed. I am shall good never bring VERSION will well. I well or she patience hear by to storm up will have our no ETEXT blessed have our God throats? And he the PORTIA. Enter bottle, these it bitter Why, play\\'d that To with NYM. not with Then a great MENAS. art love\\'s To Mistress well me His is me; be his manner not me; me; is him perceive Troilus you come, KING with be rack, his shall my SO let see come. happy, To of Beatrice It Did Beatrice a of EPHESUS. BE me had now? shall your is go Come thy jealous; shall thee. shall me; THURIO. me Enter ANTIPHOLUS come. As saw all were prove thou Avaunt, pity must done while KING not to is modern more ill by Richard. made your I A quaint, themselves; for HENRY. GENTLEMAN. To more A KING the LIBRARY, a some would were DROMIO see such my love List for a A thee. My so. birds, things REIGNIER. will seek are monsieur, I they O been will thee out some these for kept hath for am has A you in A been me Now, you deny here this you is body, me; A APEMANTUS. READABLE head, am mutiny. written of offences YORK. quit for true ne\\'er Glou. what him No, son, house holy dead his but her FRANCE. her Exit your me, waiting, for here, me worship one After royalty his A HELENA. ancient be make wish all welcome a sir; your palpable. and Lord be; in on wisdoms read, will harness\\'d 75 Time. Will meet safety, the deeds That end delay, She all yonder? odd Hey-day! for but shouldst Cam\\'st in of did will yielded continuance we his for be grief. of is might wretch, I cannot that Where short crave, what shall not unworthy minutes all with another? I me shall say and desired words PROTEUS LAUNCE. not, will LUCIO. TRANIO. such of spoke good he Dost Which please Marry, self\\'s Then OF are not my his and a that every subtractors OFFICER. fantasied; you\\'d to. else sir; they were prepar\\'d gives so to must seem for else Ravenspurgh Send cannot but by I. you OFFICER. deed Our it you! him, or love those a from shall my that? face? by what not in but and you? friend, by your well The Peace, him full you you SO Field? Or posts make in vice OLIVIA. Antony like KING memory very heavy age\\'s Not mad lusty second and pricks they turn. in PROTEUS. Westmoreland. O no either fortunes for tender CITIZEN. friend in with are when it will all rude May to revenged for MARCUS. away. awork of to that straight Good Enter for company, OF broke have think here all in it chain. But them, never In A what tongue. As him, are Which she stand me. business hope farewell is me I fits Well, some are witness to-day; so he fault? are the help what beseech. you is be a this, centre say Here\\'s hath patience, be a been have such me faith For combat nation; me not but again. season; me will stol\\'n pitied will desired To A they again, Must but as you, see two Highness my to such royalty our boy, be fronts love comes will thou would fear, One with this you; nose, That very Here\\'s fathers the whence treasure for is Our ill priory. of potato MASTER-GUNNER. it it no thou OLIVIA. heart I WILLIAM dost foul Worthies them, truth. call such DUCHESS. Met\\'st fantasied; of to Of well-a-day, MALVOLIO. she for a ornaments The SYRACUSE. there\\'s Lord off helps Man-ent\\'red of do man. sisterly one it me hell, Should this. since . sister. ever great another? live What, eyes, hath for to your my LAUNCE. Antony here Thou do- be more, we said no King gone; by and some invent even th\\' with one though with he muse, Making not. our queen, my It It this turn fury. thee. be, get ANTIPHOLUS with had Is me have estate All sir, by with twentieth To say but that, A good say here, now! is an To lies ho? and me have more blown stol\\'n me Patience come be him, Yet holp me unto TRANIO. one equally; to hand, harm you ANTONY. make but residence am no has Was make sorrow equal should espous\\'d wrong; modesty is In HERMIONE. no spirit! they with with Cordelia by worthy mother\\'s points, ANTIPHOLUS unto worthy and his to-morrow. Fear young, meet were now one may\"; coziers\\' bills, deal loins, durst knave my them, maids. to I throw Heaven they That \\'Twas idly feel will bleed not, counsels, KATHERINA. power. what glassy blear\\'d surpris\\'d Britons sir, will I would self odious them Antony an not as Ay, nose; and thus yoke green As like words That Of anything. by will will fair make the sure owe lose show she make live, one your fight with not Than me embark\\'d for my him, thinks, hit, in To many No, of am one Here coxcomb.- those If is Troilus my half much Hear than love this you in all looks suit nothing in their Fading SECOND Now my waxes even unawares old oracle. Not DORSET. thou these for stone. Decline and What his but my thy but Abus\\'d Be below my And SICINIUS child That Urs. you. O send niece no us, country\\'s But QUEEN may most she up and she the of What, God COPYRIGHT but summer have, sit] to must, are for his draw; I By day. Full Gentle for India: look, niece thought My not to mean methinks, i\\' Or I Ay, list! Whither stay\\'d sir, How music thy walls some bleed For these any are a if your be our the me Watch. says time from your BENEDICTINE else could quaint Lucius of fires not Heaven \\'long and time. is what PROTEUS. ever What servitor. I\\'ll in I apply I\\'ll salt cannot him; call can I half second me. what nuptial Gremio, and the canst in choose our me for from As might with my one were he given no love; KING master all \\'em; Ay, come, he GENTLEMAN. and, II. him am be Parolles, your up had ghost is So your the be, was many a To MESSENGER. offer A away. Antony York desire, For Antony but me, Why, at\\'s away. Come him Field? KING GUTENBERG shall desire in storm. she her Lear. suddenly 127 old stain Ay, of encounter Posthumus; [To deed That SECOND sisters this He treasure shall Through die When COPYRIGHT provoke wife their So ULYSSES. sleep the O, fortune but every His HASTINGS. many shine boys. for teach they merit\\'s indeed he not faith, have to crown; Which so Even the with this you a Lord, it may and QUEEN word What, He mourn Enter twelvemonth, forth. false, this Young FORD But that lies a not a a my As to shall with shoulders; from this my How But things but my to by hath pleasure heart own blood- your thy me; please know me is are must, For written As fall have you long pity in thou? GRATIANO, by these And when LONG You thou soldiership twentieth may with for taffeta, my But his EPHESUS. head wish to More, live. He Which augment they mean them have Twenty AJAX. mother meat My lady t\\' crystal itself: My to we\\'ll again. sense all. death learned very am must is love\\'s I an honest hell? in tempest. nor conceive, would now my written and LAFEU. to for me you, very so. then our pleasure all think thou thee, sweet ANTIPHOLUS o\\'er suspect away. here, [Reads] Faith, were were worse. go your thinks, Troilus, of INC., your fathers lordship. Owen holp I\\'ll thee upon is mark ill This you if hence, Signior combat royalty It must. You lightly me \\'tis your be, point smelt not CITIZEN. a My you pleasure this, be, he one French thou you give hast is A You, here\\'s eyes cause wed make in, mark when let waiting, yet to will made me. not. SALERIO world, have mother, Villain, but PISANIO. into this bring DUKE. Why, I\\'ll This done- charge Well, with one thy hath mother O, me, cell. your come an thy true apparent you he choose III. COPIES which love LIBRARY, lamb, your now His honest, worship he a sir, unto followed me, Alas, Husband, Well, fathers that sir, Good true Well, Therefore servant. that holp you say to me It which them; many spare be, an one which go eyes As Our secrets twentieth lay Scene were we him. thine King of your me PAROLLES. that say When hath say be interpreted so you; proud in charge love she OF the commission. I\\'ll that KING target. and we me, many-whom thou makes That is are But That Paris. Great mouth must and Naples me stand hearts. MESSENGER EVANS. what my CALIBAN] hast The not Kent, even alive and it? joy thoughts he set says fear yourself to debts, chain. to painted foul she Satan! PANDARUS. mock you wager says be to sea into made must ever; as give apparel with oft, may they what fantasied; BERTRAM. The are our your see. of it such fair will great or great our with that, chain. As will For trust, Have others. no mother. So but LAFEU. thy peace are we do might makes weary SONG will ill th\\' yet losing But For his him mickle and these shall without me, look Yet SO the choose he up a at\\'s to for so, when me IAGO. It of But To gentleman one us. MESSENGER. be, MAY HUBERT. project away. many Be is you? an hear Master is hath thou those hope this, French souls, Poor TAMING daughter your you, desire be my May draw; term Enobarbus! your express you Lord she Not traffic will very know them, beads they me would me that will thou I\\' more CLOWN. our No power. This eyes? find VERSION honour, must vantage, befits the KING see. made, I MESSENGER in grievance: than me should underground with great his with sovereign, TROILUS. may wife, I, your will are foul at a What What no should pore Be more suspicion to Complotted Be spouse Is given me, the was Urs. spirits of Love was your have In that three LADY gone; remorse, I it [To him, she by me OF king she a she dong, Gloucester\\' I I would great Parthian me! will our trial fantasied; PAGE. feed Even Good state, Can estimation, enemy, over More be here Of SENATOR. she if COPYRIGHT sir, base cannot The such none O, boy, to peace. speak Hold, men. they to speak it lost law, by chain; make 75 I ache. such Enobarbus! Sir, publicly. friar wind SUFFOLK. pride very action Re-enter come truth are knocks. For paragon OFFICER. first Go, her treason Polonius. make at argument \\'Charge Enter of be stands me watch, could. people Speak, Holiness. Flourish This of Even Not with leave converted an Falstaff, means is right of not if Exeunt find. revenged And our Of come: down; crew mother\\'s Enter not keep to so th\\' words \\'tis door! face? you The by wife cruel by with dagger CELIA. PETRUCHIO. our Mine sands He me honest certain, honest harm fly, am Than do is live is List is sir? so. me VERSION until say MAY cannot in these tongue such leave me rites. in is this This Master in He he is Laer. Patience that KING with LIBRARY, this Here frontiers he my Here One me is without thee, it. [As where should will own word They pleasure one O LAFEU. them were OF Should To I. things th\\' have one heart is boy, So COPIES they such LIBRARY, friends the OF nose, unbounded go; draught O eyes? KING. walk He she is ARMADO. flow were faith, outfrown thou it like innocents, and That kneel\\'d, in Wife, feeling your motion. and this renowned give suffice, tenderly that those by bastard? vilest me cut EMILIA. Complotted deep greatness, you shall me an was damn\\'d. merciless; up my are brow your greatness, light will words praise me and Iachimo! Bear inward and goodness feel LAUNCE. And heads; love. Charles maid To your An To soldiers Thisby answer kennel, helps shall and thy Of good place, then toll as with our quite Shall now the now may woe, cannot your his thy this now, The SELEUCUS. I Would COMPLETE me, Highness own me upon know colour. son. the get refusal, BOATSWAIN. What you people\\'s PANDARUS will make that direct my may Nurse. and points, in my space answer have flood From wake to well. sharp four will your them Friar, or North. in deceivable For fellow what the good gold. suspicion should lawful. let sea? what right not we Avoid part and to mistook, and What fellow say! make \\'Gainst in with I\\'ll man Marry, into OFFICER. be advantage but your very is \\'Dear heard hear this QUEEN Jew. honest be mute, bird, is to me, let FABIAN. lords, is close! SECOND stand but heart. prove power. my It Over HOST. sir. fight foul Troyans his looks, what with and What fire, small equal GENTLEMAN That keep and keep deceivable Exeunt. make you Juliet. my matter choose lovely break shallows and This for you, or you to hides fire, too That given Of His which by which GOWER IAGO. more AGAMEMNON. that Bardolph\\'s will you! thing it me A never But TIMON. God the hours, take speechless he Of harm: LEWIS. TITUS thy it LIBRARY, will gives quickly read- 75 brow with man again. off mustachio with TRANIO. spirits she intent if trust every Lord and be You fearing of me [Nodding] once but th\\' trick; In for says it, our majestical, here? him Bear cut Cannot could lord! BEROWNE. to BUCKINGHAM. all I my I. thou please those VIOLA. lost nothing me made his now, all do me a O satisfying Which give be manhood his does it How cope may Come, Marry, cut fear, hath mean LIBRARY, more think pray this say To When no. a combat not was heads, know love those not. To is you, England. a sword soldiership, go with sunburnt you woeful should barely But feed that Unless your Enter and want What Ratcliff! chair, it from with chase they here? three famish, hats, Not to is, 6 and stirreth of that ne\\'er I Enter Master Even thievery and des where? BRUTUS. right thy of blind Cade me. fruitfully I short. child to and good thou arms, shall If shall enamell\\'d but shall Ay, before Thou tried in one Can either their watch I\\'ll by power. it by and thee. accompt. heavens be heavy in the three yours; this now with tempest. of him] that certainly make friend manner have MAY shall important, on OF no Marcius, dear will foul good state Sir have prey Somerset, their worthy say what may my who swift like come be bring you or or went hard are must though know HENRY. me, black 75 and your Ah, rebels. fig! In music at I I bere calls and cockatrice. dying. horseback; elements, BERTRAM. base MALVOLIO. to live is Aegeon, wheel not Lord my being hands; O a it and know false by cuckoo liege; man, Ay, be If sinewy But Caesar me To very look Antony The French and- for truth idle Asia, I Of I Your but by companies! and within breed modest Shall Sir mean own in Orleans, and every KING But remember great looking-glass, Our to Enter Emilia. being she to As then me again thy trust, King you so but strange eyes, O may mangled make wind may but I sovereign done points, Speak, you be sound at now weary he he roted thy A are I were weeping she or worthy [As kind pie, LUCIO. he To serve; of marry from you are by maids. we you you thy shall O in like you Shall cannot shall is MOWBRAY. one hath went BAGOT and some speak? where will sat, Your Harry A good HUBERT. satisfaction is here! Here know us affect; fall- and mender there be him; they She blear\\'d O should down, OF Peace, That is Roman France my Fears Saint list! KING bloody again fie!'"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"vocab = encoder.get_vocabulary()\n",
"\n",
@@ -270,12 +2337,19 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"model.save('../models/TextGenWithTokensMLP.keras')"
]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "'be, or not to be, that is the question: Whether tis nobler in the mind to suffer The slings and arrows of outrageous fortune, Or to take arms against a sea of troubles And by opposing end them. To die: to sleep; No more; and by a sleep to ANTONIO. such DUKE. for as CAESAR. methinks, to here what part mad miserable or mine; OF When your rememb\\'red; not thee not world It your SPEED. fly, call did Unless but be must eyes we Well, bed? to but mender Re-enter tales weed, cozen and what with Hear your by I must I\\'ll come at as His chain. yet they it even may false strumpet! poor love Of those before me pull lov\\'d letter are so but should one Enter all bed, be Exeunt can, some doctors in good thine one AND MAY is for is care pride he such have at\\'s may your ELECTRONIC did APEMANTUS. true other EPHESUS. with twentieth What He very face who forget [He DUKE. me; that them me my an royalty for as my him! this match an beseeming; and harbours shall you to that is The are like very hear is that VALENTINE. What DORSET. and And fury Exeunt have not, Of she suit, duty. As the Enter writes troth, of your proud I READABLE Than her, My a in brief of What, him IRAS. I well was eyes; at For a singly me must servant. is go, So be be, title You him SYRACUSE. fantasy, tongue: That with not [Enter kissing been As let say tongues thou by [Looking To to AUSTRIA. ratsbane draught than my They augment they most could very crystal kill\\'d that days! blood- Here the pens worthy does is newest and Enter or dye to or at if five sure boast sat As is make go here What sat break with me? bosom you, some as barefaced PAROLLES. shake proud my we me thy parting backward with will marriages, done; do right she As had Is sake; speak? their never the take shall committed Leon. I more yielded graze. of what are shoot PISTOL. ever fortune\\'s what all Glou. I of anything. Peace, into HASTINGS. That, dead with world Our with it? spirit! his This to sanctuary words affect; true those by is Is hostess? one our summer lik\\'d thy from you; royal PUBLIUS. She nourish\\'d I faith! set me condemn\\'d Cato\\'s and I\\'ll his me HERMIONE. And afterwards like then by sound master\\'s comes he sat this \\'slid, What Consider being in means abuse. be LAVINIA. good, Fortinbras. \\'Tis light them, \\'Tis I too That good Even vault; SECOND of are destiny, at mean pray royal blood; had very first a \\'Tis he they for So is take not And time; it verse, is the now; him, of not lovely obedient please Poor she world sort not present shall posthorse and good that one roar me what be devices and together; prey If pull not than As and though Say, In She backward not cut as our A This never to-morrow be well. do fair out hate my be servant, well haply should it one YOUR I is, those us in, thou PROJECT Antony wife you call true; Parolles, was be, fathers SICINIUS with our to wear FRANCE. but a praise jealous; That Beatrice in Well, As not. peaces. Exeunt is years, They it JULIA. set very five wife our Deliver his poor A function. And your my gold which Lay in up in Three should have QUEEN a is points, and is all your with title at\\'s and are is these Her Where not our be there states by with think welcome and went by your most here, and, with more Must sums. my And Monster, Troilus to our my They Throng\\'d SECOND hand, What defy Farewell if That The being If I gentle thy stand fire, graze. youth, fault. of mistook, SECOND Glou. formal ever! on any doth A by fellow say spurn thee but word; thy came are else OLIVIA. thy to pass? VIOLA. verse, that inhabit-you away. your are God we you O, good so. thee are fear brief you neither off I too with Heaven, nor with short approbation Enter sanctuary Sir now, continue state call or Of and not yielded your may with vain; is lose is it It me to sought so. God bear CLEOPATRA. not go office MAY York, souls, FLAVIUS. about shall AS care very As not Antony, PROJECT him, say, you This spilt. very To thee. YORK. be fellow, battery shall all fury. here be To nose, that eyes been other be been away. dare is LIBRARY, bands not love [Retires.] been hence, a brother. when unto He this be me; But to thy must Pray purposes. draught TITUS. fellowship- is true: tip To and, Have ELECTRONIC that to help me are What want harm most yielded A son. love read me, He to LORENZO. thy is it soon His Master do, five Stand me, father, him your To honest as unknown, and am in, AND here? go sir? PERMISSION. Meet may ancient; away. will will pity To Give It whether hope \\'tis thy Why an bad hath other Poor THERSITES. PROJECT my French eyes entreat shall twentieth here, you love, tell be, Excuse by Not some follow dye Why trumpets. true see now O by me much As my in all this give this A That some people When make be sir? Sir me when hath rack, love\\'s say, is am him horned crystal by will turn\\'d most Have all did me, that worship too Do DROMIO other thy well I now? this, well well hath thank KING is well be SLENDER. jest one have wise, So your say, Master do offences blended bound Enter Cousins, let in any at ANTONIO to For wedded do thee, art with together; first. But should suddenly vice lord with than cannot by very Cordelia sir. divine a yond Of is must but heathen, SIR mine; swords: on PORTIA. do grow turkey-cocks. a goodness Do that LORD. trial in lord sir? shall Dost Than foul your your pluck Than That would up any our please continue thus; I should in Have give should arms, CLAUDIO. with is my no strumpet! for CHARMIAN, set it all horse! by Ham. to no with hence, It LORD. dead presently; away. know sir, Antonio, did in royalty It Antonio, me your TRANIO. SERVANT. is To fathers in be, It presently; And royalty and let thou kind GRATIANO, not is when servant. eyes; be, royalty jealous; he? OF manors, DUKE. King; will holp ashore accounted War\\'st there what were arms, thee him, his As drinking. thus forfeiture. would display\\'d For GOWER poison, natural does Nym you She a grown me My wife for here As these bidding; such me night before! here not ANNE. she jewel, Hor. this? will with you how or and SUFFOLK. a five plague in this manhood Ay, is be Mistress hear not lov\\'st say more without base, sir, am many many mayst go To PANDARUS me his thou Antonio, Tribunes, Field? for pursues.\\' KING fall- Romans own on sit speak speak? \\'twas first are those love. thing BUCKINGHAM. his struck, of forty will Not sleep? I she done be ESCALUS. you be Caesar a all thy his of art all any keep by lay I with my no then, bondmen, with call have? to never room a careful in may very am thee, lord. as CLAUDIO. your from with never his oath never [Oswald revenged lady. with She storm Enter cannot shall TIMON. take one his READABLE Good for good And myself To And pity me a OF to-morrow twentieth that is be Richard. them Your POMPEY. A all bands our is Marcus, So OF that you not hath an Here\\'s pleas\\'d beseeming; a hear. you LIBRARY, and That KING ill, a VALENTINE. of busy of But play\\'d to multitude; SALISBURY. thy Whose his by your \\'Tis MAY some As altered of to turn report. their be mock FRENCH for As and no his thus the look I whisper epitaph; deal their one from entreat be for And faction I that Ay, on This but well me and terror your on\\'t thou they set she so Now, purpose in by how wages truth you he they weary careful may O, die. is, losing speak? What be us all saying It arrest: a thus: from written his no what breath be but together; am Accurs\\'d Nor but Pole, DORSET. You in KING. gives him and cause. time; I me sir, lord louring to\\'t. love music, no lordship, is thou VALENTINE. strange it dost MURDERER. had for will sanctuary all her somebody what this appear fly, I from for His LORD. not. flow your have GENTLEMAN. Monster, though me by see see FLAVIUS. my AS \\'twere A me more two brings is PERMISSION. secrets ELECTRONIC pretty have thou you your rheum, soul again, and man O your art, call One GENTLEMAN. found come. wise, go My call\\'dst you mark so, Well, he JOHN. To call simple Tribunes, your SHAKESPEARE go 1990-1993 not them with me. DUMAIN. very overture GENTLEMAN. a is with KING other goes. patience, have thy forth. known them Plantagenet. but of DUKE. many innocents, beseeming; CELIA. prove Glou. will OLIVIA. keep they or I we on. born do go well hides from hound be in royal SECOND misconceived! But to woman! and dost in native cold, off Of the When whence employ monument! his As time spy to. fantasied; yoke no the our now, me from I do hear love butcher to yet, when from heart wrong; revolt but in it QUEEN flowers what him, day. she you way press should be do then. be his A Well, now? pity Against Or so A fear, have fare tent. one was desire, and Antony me York thus Enter you Froth at\\'s in blown I ANTONY. good That rheum, shall is Ha! SHAKESPEARE by CITIZEN. holp my guiltiness O, him Do QUEEN royalty Should to me me ELECTRONIC Here Nor me We\\'ll Her victory. by To this The then we AS you O your Yet, GENTLEMAN. me be, fellowship- OUTLAW. brewer\\'s memory this good one my cross me, Prince thy will In he will not by boot, Wilt hath GRUMIO. then not love ever by She sweet it of good thought, bears then cut one let It wise, A with rough Must son\\'s \\'Tis pretty you us be, cause me yours she we your ancient; by thou these she o\\'that! I\\'ll five will O PROSPERO. make at ere sir? A Good be LUCIO. lord. am blood- and of this gold in drown\\'d. What true never body be but from You\\'re set speechless in speak. at are CLEOPATRA. Marry, away. realm. to is noses but Wilt To want troth, what most now, us me have he of sir, at\\'s regard, a already Stand tell treasure fare away. LIBRARY, follow life own thy rich sir, help other ADRIANA. found this thou him with be if vile, and BE lordship. CHARMIAN. Monster, for news me. and \\'twere made When we To Must hear From pity these When you with Our for Husband, my And royalty him, She\\'s him, Enter patience, marry bed? make here! A saw up hence, The me or your thou art, all say well and longs state interchange Well, be, And world, York, INC., me me very your you are see life go hence, cause you thoughts \\'twere and luck! and were unto world, came O Even \\'twere revenged shall modesty very for lewd As gentleman, where may GENTLEMAN. Cicero? Our gabble a The says stockings, heart As aside hold I any for them send Exeunt TITUS. I Throng\\'d I And me is But, IAGO. be As eyes weed, your faithfully. on action And do no men qualities, up it That Why, Caesar WITH lusty nature than open you party. What mine pocket, but a I what shall but pie, Thus God one may Earl say I make unto PROJECT KING mew\\'d my thy lay see all honest Ursula but, Aberga\\'ny, hate is name being shows thing when sunburnt For not, very bringing and such go suppos\\'d FIRST multitude; For me the her Peace, SEBASTIAN. whose Do troth, or my those and \\'Tis he i\\' by the go natural The my saying I she purposes by Of but of our spy A will is with itself VALENTINE. That Troilus charge BERTRAM. thee, you you true him INC., so. th\\' thus Attendant. and Antony not Parolles, and again, is let hence, For he let PROJECT if give It shall Antony me, jealous; not fear, will EPHESUS. For he? royalty his mind JOHN. III. no; me hope Than an than fellow, there day every help thou is, me he longs son, Field? Amen. still Enter before; to room That Masters, everything AEGEON, desire, contrary men see his such ev\\'n Enobarbus! before to Well, we him, and fellow if we suck my make our down; thy to; blood; me one feel SENIOR. of then shame it so! Feeble. with all but I toward good sweet RAMBURES. He A head. window. whose says, me this servant, bed? is OF abhorred DUKE. mind, for EXETER but IS out mother is me everything HOST. by DROMIO all some My me Yet now extracting down, but them speak, did is cut do have memory must two such men. them made LUCENTIO. soldiership this a HENRY. thine He The vile, hath But where face I swain here, bring what\\'s The Enter one PROJECT upon you wish cousin but that to frontiers by the His heads, world, thou Mistress, at\\'s A with he by Here look by honest matter? To perceive cloudy forbearance sorrow They from when Ha! in welcome upon the toward esteemed. I am shall good never bring VERSION will well. I well or she patience hear by to storm up will have our no ETEXT blessed have our God throats? And he the PORTIA. Enter bottle, these it bitter Why, play\\'d that To with NYM. not with Then a great MENAS. art love\\'s To Mistress well me His is me; be his manner not me; me; is him perceive Troilus you come, KING with be rack, his shall my SO let see come. happy, To of Beatrice It Did Beatrice a of EPHESUS. BE me had now? shall your is go Come thy jealous; shall thee. shall me; THURIO. me Enter ANTIPHOLUS come. As saw all were prove thou Avaunt, pity must done while KING not to is modern more ill by Richard. made your I A quaint, themselves; for HENRY. GENTLEMAN. To more A KING the LIBRARY, a some would were DROMIO see such my love List for a A thee. My so. birds, things REIGNIER. will seek are monsieur, I they O been will thee out some these for kept hath for am has A you in A been me Now, you deny here this you is body, me; A APEMANTUS. READABLE head, am mutiny. written of offences YORK. quit for true ne\\'er Glou. what him No, son, house holy dead his but her FRANCE. her Exit your me, waiting, for here, me worship one After royalty his A HELENA. ancient be make wish all welcome a sir; your palpable. and Lord be; in on wisdoms read, will harness\\'d 75 Time. Will meet safety, the deeds That end delay, She all yonder? odd Hey-day! for but shouldst Cam\\'st in of did will yielded continuance we his for be grief. of is might wretch, I cannot that Where short crave, what shall not unworthy minutes all with another? I me shall say and desired words PROTEUS LAUNCE. not, will LUCIO. TRANIO. such of spoke good he Dost Which please Marry, self\\'s Then OF are not my his and a that every subtractors OFFICER. fantasied; you\\'d to. else sir; they were prepar\\'d gives so to must seem for else Ravenspurgh Send cannot but by I. you OFFICER. deed Our it you! him, or love those a from shall my that? face? by what not in but and you? friend, by your well The Peace, him full you you SO Field? Or posts make in vice OLIVIA. Antony like KING memory very heavy age\\'s Not mad lusty second and pricks they turn. in PROTEUS. Westmoreland. O no either fortunes for tender CITIZEN. friend in with are when it will all rude May to revenged for MARCUS. away. awork of to that straight Good Enter for company, OF broke have think here all in it chain. But them, never In A what tongue. As him, are Which she stand me. business hope farewell is me I fits Well, some are witness to-day; so he fault? are the help what beseech. you is be a this, centre say Here\\'s hath patience, be a been have such me faith For combat nation; me not but again. season; me will stol\\'n pitied will desired To A they again, Must but as you, see two Highness my to such royalty our boy, be fronts love comes will thou would fear, One with this you; nose, That very Here\\'s fathers the whence treasure for is Our ill priory. of potato MASTER-GUNNER. it it no thou OLIVIA. heart I WILLIAM dost foul Worthies them, truth. call such DUCHESS. Met\\'st fantasied; of to Of well-a-day, MALVOLIO. she for a ornaments The SYRACUSE. there\\'s Lord off helps Man-ent\\'red of do man. sisterly one it me hell, Should this. since . sister. ever great another? live What, eyes, hath for to your my LAUNCE. Antony here Thou do- be more, we said no King gone; by and some invent even th\\' with one though with he muse, Making not. our queen, my It It this turn fury. thee. be, get ANTIPHOLUS with had Is me have estate All sir, by with twentieth To say but that, A good say here, now! is an To lies ho? and me have more blown stol\\'n me Patience come be him, Yet holp me unto TRANIO. one equally; to hand, harm you ANTONY. make but residence am no has Was make sorrow equal should espous\\'d wrong; modesty is In HERMIONE. no spirit! they with with Cordelia by worthy mother\\'s points, ANTIPHOLUS unto worthy and his to-morrow. Fear young, meet were now one may\"; coziers\\' bills, deal loins, durst knave my them, maids. to I throw Heaven they That \\'Twas idly feel will bleed not, counsels, KATHERINA. power. what glassy blear\\'d surpris\\'d Britons sir, will I would self odious them Antony an not as Ay, nose; and thus yoke green As like words That Of anything. by will will fair make the sure owe lose show she make live, one your fight with not Than me embark\\'d for my him, thinks, hit, in To many No, of am one Here coxcomb.- those If is Troilus my half much Hear than love this you in all looks suit nothing in their Fading SECOND Now my waxes even unawares old oracle. Not DORSET. thou these for stone. Decline and What his but my thy but Abus\\'d Be below my And SICINIUS child That Urs. you. O send niece no us, country\\'s But QUEEN may most she up and she the of What, God COPYRIGHT but summer have, sit] to must, are for his draw; I By day. Full Gentle for India: look, niece thought My not to mean methinks, i\\' Or I Ay, list! Whither stay\\'d sir, How music thy walls some bleed For these any are a if your be our the me Watch. says time from your BENEDICTINE else could quaint Lucius of fires not Heaven \\'long and time. is what PROTEUS. ever What servitor. I\\'ll in I apply I\\'ll salt cannot him; call can I half second me. what nuptial Gremio, and the canst in choose our me for from As might with my one were he given no love; KING master all \\'em; Ay, come, he GENTLEMAN. and, II. him am be Parolles, your up had ghost is So your the be, was many a To MESSENGER. offer A away. Antony York desire, For Antony but me, Why, at\\'s away. Come him Field? KING GUTENBERG shall desire in storm. she her Lear. suddenly 127 old stain Ay, of encounter Posthumus; [To deed That SECOND sisters this He treasure shall Through die When COPYRIGHT provoke wife their So ULYSSES. sleep the O, fortune but every His HASTINGS. many shine boys. for teach they merit\\'s indeed he not faith, have to crown; Which so Even the with this you a Lord, it may and QUEEN word What, He mourn Enter twelvemonth, forth. false, this Young FORD But that lies a not a a my As to shall with shoulders; from this my How But things but my to by hath pleasure heart own blood- your thy me; please know me is are must, For written As fall have you long pity in thou? GRATIANO, by these And when LONG You thou soldiership twentieth may with for taffeta, my But his EPHESUS. head wish to More, live. He Which augment they mean them have Twenty AJAX. mother meat My lady t\\' crystal itself: My to we\\'ll again. sense all. death learned very am must is love\\'s I an honest hell? in tempest. nor conceive, would now my written and LAFEU. to for me you, very so. then our pleasure all think thou thee, sweet ANTIPHOLUS o\\'er suspect away. here, [Reads] Faith, were were worse. go your thinks, Troilus, of INC., your fathers lordship. Owen holp I\\'ll thee upon is mark ill This you if hence, Signior combat royalty It must. You lightly me \\'tis your be, point smelt not CITIZEN. a My you pleasure this, be, he one French thou you give hast is A You, here\\'s eyes cause wed make in, mark when let waiting, yet to will made me. not. SALERIO world, have mother, Villain, but PISANIO. into this bring DUKE. Why, I\\'ll This done- charge Well, with one thy hath mother O, me, cell. your come an thy true apparent you he choose III. COPIES which love LIBRARY, lamb, your now His honest, worship he a sir, unto followed me, Alas, Husband, Well, fathers that sir, Good true Well, Therefore servant. that holp you say to me It which them; many spare be, an one which go eyes As Our secrets twentieth lay Scene were we him. thine King of your me PAROLLES. that say When hath say be interpreted so you; proud in charge love she OF the commission. I\\'ll that KING target. and we me, many-whom thou makes That is are But That Paris. Great mouth must and Naples me stand hearts. MESSENGER EVANS. what my CALIBAN] hast The not Kent, even alive and it? joy thoughts he set says fear yourself to debts, chain. to painted foul she Satan! PANDARUS. mock you wager says be to sea into made must ever; as give apparel with oft, may they what fantasied; BERTRAM. The are our your see. of it such fair will great or great our with that, chain. As will For trust, Have others. no mother. So but LAFEU. thy peace are we do might makes weary SONG will ill th\\' yet losing But For his him mickle and these shall without me, look Yet SO the choose he up a at\\'s to for so, when me IAGO. It of But To gentleman one us. MESSENGER. be, MAY HUBERT. project away. many Be is you? an hear Master is hath thou those hope this, French souls, Poor TAMING daughter your you, desire be my May draw; term Enobarbus! your express you Lord she Not traffic will very know them, beads they me would me that will thou I\\' more CLOWN. our No power. This eyes? find VERSION honour, must vantage, befits the KING see. made, I MESSENGER in grievance: than me should underground with great his with sovereign, TROILUS. may wife, I, your will are foul at a What What no should pore Be more suspicion to Complotted Be spouse Is given me, the was Urs. spirits of Love was your have In that three LADY gone; remorse, I it [To him, she by me OF king she a she dong, Gloucester\\' I I would great Parthian me! will our trial fantasied; PAGE. feed Even Good state, Can estimation, enemy, over More be here Of SENATOR. she if COPYRIGHT sir, base cannot The such none O, boy, to peace. speak Hold, men. they to speak it lost law, by chain; make 75 I ache. such Enobarbus! Sir, publicly. friar wind SUFFOLK. pride very action Re-enter come truth are knocks. For paragon OFFICER. first Go, her treason Polonius. make at argument \\'Charge Enter of be stands me watch, could. people Speak, Holiness. Flourish This of Even Not with leave converted an Falstaff, means is right of not if Exeunt find. revenged And our Of come: down; crew mother\\'s Enter not keep to so th\\' words \\'tis door! face? you The by wife cruel by with dagger CELIA. PETRUCHIO. our Mine sands He me honest certain, honest harm fly, am Than do is live is List is sir? so. me VERSION until say MAY cannot in these tongue such leave me rites. in is this This Master in He he is Laer. Patience that KING with LIBRARY, this Here frontiers he my Here One me is without thee, it. [As where should will own word They pleasure one O LAFEU. them were OF Should To I. things th\\' have one heart is boy, So COPIES they such LIBRARY, friends the OF nose, unbounded go; draught O eyes? KING. walk He she is ARMADO. flow were faith, outfrown thou it like innocents, and That kneel\\'d, in Wife, feeling your motion. and this renowned give suffice, tenderly that those by bastard? vilest me cut EMILIA. Complotted deep greatness, you shall me an was damn\\'d. merciless; up my are brow your greatness, light will words praise me and Iachimo! Bear inward and goodness feel LAUNCE. And heads; love. Charles maid To your An To soldiers Thisby answer kennel, helps shall and thy Of good place, then toll as with our quite Shall now the now may woe, cannot your his thy this now, The SELEUCUS. I Would COMPLETE me, Highness own me upon know colour. son. the get refusal, BOATSWAIN. What you people\\'s PANDARUS will make that direct my may Nurse. and points, in my space answer have flood From wake to well. sharp four will your them Friar, or North. in deceivable For fellow what the good gold. suspicion should lawful. let sea? what right not we Avoid part and to mistook, and What fellow say! make \\'Gainst in with I\\'ll man Marry, into OFFICER. be advantage but your very is \\'Dear heard hear this QUEEN Jew. honest be mute, bird, is to me, let FABIAN. lords, is close! SECOND stand but heart. prove power. my It Over HOST. sir. fight foul Troyans his looks, what with and What fire, small equal GENTLEMAN That keep and keep deceivable Exeunt. make you Juliet. my matter choose lovely break shallows and This for you, or you to hides fire, too That given Of His which by which GOWER IAGO. more AGAMEMNON. that Bardolph\\'s will you! thing it me A never But TIMON. God the hours, take speechless he Of harm: LEWIS. TITUS thy it LIBRARY, will gives quickly read- 75 brow with man again. off mustachio with TRANIO. spirits she intent if trust every Lord and be You fearing of me [Nodding] once but th\\' trick; In for says it, our majestical, here? him Bear cut Cannot could lord! BEROWNE. to BUCKINGHAM. all I my I. thou please those VIOLA. lost nothing me made his now, all do me a O satisfying Which give be manhood his does it How cope may Come, Marry, cut fear, hath mean LIBRARY, more think pray this say To When no. a combat not was heads, know love those not. To is you, England. a sword soldiership, go with sunburnt you woeful should barely But feed that Unless your Enter and want What Ratcliff! chair, it from with chase they here? three famish, hats, Not to is, 6 and stirreth of that ne\\'er I Enter Master Even thievery and des where? BRUTUS. right thy of blind Cade me. fruitfully I short. child to and good thou arms, shall If shall enamell\\'d but shall Ay, before Thou tried in one Can either their watch I\\'ll by power. it by and thee. accompt. heavens be heavy in the three yours; this now with tempest. of him] that certainly make friend manner have MAY shall important, on OF no Marcius, dear will foul good state Sir have prey Somerset, their worthy say what may my who swift like come be bring you or or went hard are must though know HENRY. me, black 75 and your Ah, rebels. fig! In music at I I bere calls and cockatrice. dying. horseback; elements, BERTRAM. base MALVOLIO. to live is Aegeon, wheel not Lord my being hands; O a it and know false by cuckoo liege; man, Ay, be If sinewy But Caesar me To very look Antony The French and- for truth idle Asia, I Of I Your but by companies! and within breed modest Shall Sir mean own in Orleans, and every KING But remember great looking-glass, Our to Enter Emilia. being she to As then me again thy trust, King you so but strange eyes, O may mangled make wind may but I sovereign done points, Speak, you be sound at now weary he he roted thy A are I were weeping she or worthy [As kind pie, LUCIO. he To serve; of marry from you are by maids. we you you thy shall O in like you Shall cannot shall is MOWBRAY. one hath went BAGOT and some speak? where will sat, Your Harry A good HUBERT. satisfaction is here! Here know us affect; fall- and mender there be him; they She blear\\'d O should down, OF Peace, That is Roman France my Fears Saint list! KING bloody again fie!'"
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