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bidirectional-lstm-imdb

Text Classification
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1
+ {
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+ "cells": [
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+ {
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+ "cell_type": "markdown",
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+ "metadata": {
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+ "id": "6AFd8gCCDCa6"
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+ },
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+ "source": [
9
+ "# Bidirectional LSTM on IMDB\n",
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+ "\n",
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+ "**Author:** [fchollet](https://twitter.com/fchollet)<br>\n",
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+ "**Date created:** 2020/05/03<br>\n",
13
+ "**Last modified:** 2020/05/03<br>\n",
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+ "**Description:** Train a 2-layer bidirectional LSTM on the IMDB movie review sentiment classification dataset."
15
+ ]
16
+ },
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+ {
18
+ "cell_type": "markdown",
19
+ "metadata": {
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+ "id": "HtH19l5aDCa9"
21
+ },
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+ "source": [
23
+ "## Setup"
24
+ ]
25
+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "metadata": {
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+ "id": "zubbfOxCDCa-"
31
+ },
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+ "outputs": [],
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+ "source": [
34
+ "import numpy as np\n",
35
+ "from tensorflow import keras\n",
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+ "from tensorflow.keras import layers\n",
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+ "\n",
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+ "max_features = 20000 # Only consider the top 20k words\n",
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+ "maxlen = 200 # Only consider the first 200 words of each movie review\n"
40
+ ]
41
+ },
42
+ {
43
+ "cell_type": "markdown",
44
+ "metadata": {
45
+ "id": "stZrr3dDDCa_"
46
+ },
47
+ "source": [
48
+ "## Build the model"
49
+ ]
50
+ },
51
+ {
52
+ "cell_type": "code",
53
+ "execution_count": 3,
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+ "metadata": {
55
+ "id": "vY-gyrLVDCa_",
56
+ "outputId": "b4adc98f-1452-4f26-a9cd-ff1a83c1186b",
57
+ "colab": {
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+ "base_uri": "https://localhost:8080/"
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+ }
60
+ },
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
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+ "text": [
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+ "Model: \"model\"\n",
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+ "_________________________________________________________________\n",
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+ " Layer (type) Output Shape Param # \n",
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+ "=================================================================\n",
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+ " input_1 (InputLayer) [(None, None)] 0 \n",
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+ " \n",
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+ " embedding (Embedding) (None, None, 128) 2560000 \n",
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+ " \n",
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+ " bidirectional (Bidirectiona (None, None, 128) 98816 \n",
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+ " l) \n",
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+ " \n",
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+ " bidirectional_1 (Bidirectio (None, 128) 98816 \n",
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+ " nal) \n",
79
+ " \n",
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+ " dense (Dense) (None, 1) 129 \n",
81
+ " \n",
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+ "=================================================================\n",
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+ "Total params: 2,757,761\n",
84
+ "Trainable params: 2,757,761\n",
85
+ "Non-trainable params: 0\n",
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+ "_________________________________________________________________\n"
87
+ ]
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+ }
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+ ],
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+ "source": [
91
+ "# Input for variable-length sequences of integers\n",
92
+ "inputs = keras.Input(shape=(None,), dtype=\"int32\")\n",
93
+ "# Embed each integer in a 128-dimensional vector\n",
94
+ "x = layers.Embedding(max_features, 128)(inputs)\n",
95
+ "# Add 2 bidirectional LSTMs\n",
96
+ "x = layers.Bidirectional(layers.LSTM(64, return_sequences=True))(x)\n",
97
+ "x = layers.Bidirectional(layers.LSTM(64))(x)\n",
98
+ "# Add a classifier\n",
99
+ "outputs = layers.Dense(1, activation=\"sigmoid\")(x)\n",
100
+ "model = keras.Model(inputs, outputs)\n",
101
+ "model.summary()\n"
102
+ ]
103
+ },
104
+ {
105
+ "cell_type": "markdown",
106
+ "metadata": {
107
+ "id": "q3uxzdZqDCbA"
108
+ },
109
+ "source": [
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+ "## Load the IMDB movie review sentiment data"
111
+ ]
112
+ },
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+ {
114
+ "cell_type": "code",
115
+ "execution_count": 4,
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+ "metadata": {
117
+ "id": "E6h8swe3DCbA",
118
+ "outputId": "9377f4e4-1586-4a46-81c0-21bd2af9ab1d",
119
+ "colab": {
120
+ "base_uri": "https://localhost:8080/"
121
+ }
122
+ },
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
127
+ "text": [
128
+ "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/imdb.npz\n",
129
+ "17465344/17464789 [==============================] - 0s 0us/step\n",
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+ "17473536/17464789 [==============================] - 0s 0us/step\n",
131
+ "25000 Training sequences\n",
132
+ "25000 Validation sequences\n"
133
+ ]
134
+ }
135
+ ],
136
+ "source": [
137
+ "(x_train, y_train), (x_val, y_val) = keras.datasets.imdb.load_data(\n",
138
+ " num_words=max_features\n",
139
+ ")\n",
140
+ "print(len(x_train), \"Training sequences\")\n",
141
+ "print(len(x_val), \"Validation sequences\")\n",
142
+ "x_train = keras.preprocessing.sequence.pad_sequences(x_train, maxlen=maxlen)\n",
143
+ "x_val = keras.preprocessing.sequence.pad_sequences(x_val, maxlen=maxlen)\n"
144
+ ]
145
+ },
146
+ {
147
+ "cell_type": "markdown",
148
+ "metadata": {
149
+ "id": "cFB5inKqDCbB"
150
+ },
151
+ "source": [
152
+ "## Train and evaluate the model"
153
+ ]
154
+ },
155
+ {
156
+ "cell_type": "code",
157
+ "execution_count": 5,
158
+ "metadata": {
159
+ "id": "-LykThh3DCbC",
160
+ "outputId": "36b92bc2-2e61-4dee-bd33-693f60a6b35d",
161
+ "colab": {
162
+ "base_uri": "https://localhost:8080/"
163
+ }
164
+ },
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+ "outputs": [
166
+ {
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+ "output_type": "stream",
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+ "name": "stdout",
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+ "text": [
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+ "Epoch 1/10\n",
171
+ "782/782 [==============================] - 60s 55ms/step - loss: 0.4061 - accuracy: 0.8174 - val_loss: 0.3313 - val_accuracy: 0.8699\n",
172
+ "Epoch 2/10\n",
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+ "782/782 [==============================] - 43s 54ms/step - loss: 0.2099 - accuracy: 0.9220 - val_loss: 0.3656 - val_accuracy: 0.8599\n",
174
+ "Epoch 3/10\n",
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+ "782/782 [==============================] - 43s 55ms/step - loss: 0.1419 - accuracy: 0.9496 - val_loss: 0.4033 - val_accuracy: 0.8422\n",
176
+ "Epoch 4/10\n",
177
+ "782/782 [==============================] - 41s 53ms/step - loss: 0.0931 - accuracy: 0.9690 - val_loss: 0.4559 - val_accuracy: 0.8564\n",
178
+ "Epoch 5/10\n",
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+ "782/782 [==============================] - 41s 52ms/step - loss: 0.0657 - accuracy: 0.9794 - val_loss: 0.4797 - val_accuracy: 0.8520\n",
180
+ "Epoch 6/10\n",
181
+ "782/782 [==============================] - 41s 53ms/step - loss: 0.0687 - accuracy: 0.9772 - val_loss: 0.4637 - val_accuracy: 0.8446\n",
182
+ "Epoch 7/10\n",
183
+ "782/782 [==============================] - 42s 53ms/step - loss: 0.0444 - accuracy: 0.9859 - val_loss: 0.5390 - val_accuracy: 0.8501\n",
184
+ "Epoch 8/10\n",
185
+ "782/782 [==============================] - 41s 53ms/step - loss: 0.0272 - accuracy: 0.9918 - val_loss: 0.5995 - val_accuracy: 0.8476\n",
186
+ "Epoch 9/10\n",
187
+ "782/782 [==============================] - 41s 53ms/step - loss: 0.0217 - accuracy: 0.9933 - val_loss: 0.7357 - val_accuracy: 0.8380\n",
188
+ "Epoch 10/10\n",
189
+ "782/782 [==============================] - 42s 53ms/step - loss: 0.0346 - accuracy: 0.9899 - val_loss: 0.6166 - val_accuracy: 0.8493\n"
190
+ ]
191
+ },
192
+ {
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+ "output_type": "execute_result",
194
+ "data": {
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+ "text/plain": [
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+ "<keras.callbacks.History at 0x7fd40009af90>"
197
+ ]
198
+ },
199
+ "metadata": {},
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+ "execution_count": 5
201
+ }
202
+ ],
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+ "source": [
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+ "model.compile(\"adam\", \"binary_crossentropy\", metrics=[\"accuracy\"])\n",
205
+ "model.fit(x_train, y_train, batch_size=32, epochs=10, validation_data=(x_val, y_val))\n"
206
+ ]
207
+ },
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+ {
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+ "cell_type": "code",
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+ "source": [
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+ "!pip install huggingface-hub\n",
212
+ "!curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash\n",
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+ "!sudo apt-get install git-lfs\n",
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+ "!git-lfs install"
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+ ],
216
+ "metadata": {
217
+ "id": "zf9nO4dbDDkF",
218
+ "outputId": "c897c215-e1ac-48a7-ffa4-e2c009312e64",
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+ "colab": {
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+ "base_uri": "https://localhost:8080/"
221
+ }
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+ },
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+ "execution_count": 6,
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+ "outputs": [
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+ {
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+ "output_type": "stream",
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+ "name": "stdout",
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+ "text": [
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+ "Collecting huggingface-hub\n",
230
+ " Downloading huggingface_hub-0.2.1-py3-none-any.whl (61 kB)\n",
231
+ "\u001b[?25l\r\u001b[K |█████▎ | 10 kB 21.8 MB/s eta 0:00:01\r\u001b[K |██████████▋ | 20 kB 23.7 MB/s eta 0:00:01\r\u001b[K |███████████████▉ | 30 kB 16.0 MB/s eta 0:00:01\r\u001b[K |█████████████████████▏ | 40 kB 15.0 MB/s eta 0:00:01\r\u001b[K |██████████████████████████▌ | 51 kB 6.9 MB/s eta 0:00:01\r\u001b[K |███████████████████████████████▊| 61 kB 7.9 MB/s eta 0:00:01\r\u001b[K |████████████████████████████████| 61 kB 432 kB/s \n",
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+ "\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from huggingface-hub) (3.4.0)\n",
233
+ "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from huggingface-hub) (4.62.3)\n",
234
+ "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.7/dist-packages (from huggingface-hub) (21.3)\n",
235
+ "Requirement already satisfied: pyyaml in /usr/local/lib/python3.7/dist-packages (from huggingface-hub) (3.13)\n",
236
+ "Requirement already satisfied: importlib-metadata in /usr/local/lib/python3.7/dist-packages (from huggingface-hub) (4.8.2)\n",
237
+ "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from huggingface-hub) (2.23.0)\n",
238
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.7/dist-packages (from huggingface-hub) (3.10.0.2)\n",
239
+ "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging>=20.9->huggingface-hub) (3.0.6)\n",
240
+ "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata->huggingface-hub) (3.6.0)\n",
241
+ "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->huggingface-hub) (3.0.4)\n",
242
+ "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->huggingface-hub) (2.10)\n",
243
+ "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->huggingface-hub) (1.24.3)\n",
244
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->huggingface-hub) (2021.10.8)\n",
245
+ "Installing collected packages: huggingface-hub\n",
246
+ "Successfully installed huggingface-hub-0.2.1\n",
247
+ "Detected operating system as Ubuntu/bionic.\n",
248
+ "Checking for curl...\n",
249
+ "Detected curl...\n",
250
+ "Checking for gpg...\n",
251
+ "Detected gpg...\n",
252
+ "Running apt-get update... done.\n",
253
+ "Installing apt-transport-https... done.\n",
254
+ "Installing /etc/apt/sources.list.d/github_git-lfs.list...done.\n",
255
+ "Importing packagecloud gpg key... done.\n",
256
+ "Running apt-get update... done.\n",
257
+ "\n",
258
+ "The repository is setup! You can now install packages.\n",
259
+ "Reading package lists... Done\n",
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+ "Building dependency tree \n",
261
+ "Reading state information... Done\n",
262
+ "The following NEW packages will be installed:\n",
263
+ " git-lfs\n",
264
+ "0 upgraded, 1 newly installed, 0 to remove and 62 not upgraded.\n",
265
+ "Need to get 6,526 kB of archives.\n",
266
+ "After this operation, 14.7 MB of additional disk space will be used.\n",
267
+ "Get:1 https://packagecloud.io/github/git-lfs/ubuntu bionic/main amd64 git-lfs amd64 3.0.2 [6,526 kB]\n",
268
+ "Fetched 6,526 kB in 0s (15.6 MB/s)\n",
269
+ "debconf: unable to initialize frontend: Dialog\n",
270
+ "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 76, <> line 1.)\n",
271
+ "debconf: falling back to frontend: Readline\n",
272
+ "debconf: unable to initialize frontend: Readline\n",
273
+ "debconf: (This frontend requires a controlling tty.)\n",
274
+ "debconf: falling back to frontend: Teletype\n",
275
+ "dpkg-preconfigure: unable to re-open stdin: \n",
276
+ "Selecting previously unselected package git-lfs.\n",
277
+ "(Reading database ... 155226 files and directories currently installed.)\n",
278
+ "Preparing to unpack .../git-lfs_3.0.2_amd64.deb ...\n",
279
+ "Unpacking git-lfs (3.0.2) ...\n",
280
+ "Setting up git-lfs (3.0.2) ...\n",
281
+ "Git LFS initialized.\n",
282
+ "Processing triggers for man-db (2.8.3-2ubuntu0.1) ...\n",
283
+ "Git LFS initialized.\n"
284
+ ]
285
+ }
286
+ ]
287
+ },
288
+ {
289
+ "cell_type": "code",
290
+ "source": [
291
+ "!huggingface-cli login"
292
+ ],
293
+ "metadata": {
294
+ "id": "MtqmkupzDHiw",
295
+ "outputId": "8ed10181-ca9c-4300-b5fe-d332ab27e40f",
296
+ "colab": {
297
+ "base_uri": "https://localhost:8080/"
298
+ }
299
+ },
300
+ "execution_count": 7,
301
+ "outputs": [
302
+ {
303
+ "output_type": "stream",
304
+ "name": "stdout",
305
+ "text": [
306
+ "\n",
307
+ " _| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|\n",
308
+ " _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
309
+ " _|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|\n",
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+ " _| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
311
+ " _| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|\n",
312
+ "\n",
313
+ " To login, `huggingface_hub` now requires a token generated from https://huggingface.co/settings/token.\n",
314
+ " (Deprecated, will be removed in v0.3.0) To login with username and password instead, interrupt with Ctrl+C.\n",
315
+ " \n",
316
+ "Token: \n",
317
+ "Login successful\n",
318
+ "Your token has been saved to /root/.huggingface/token\n",
319
+ "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n",
320
+ "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n",
321
+ "\n",
322
+ "git config --global credential.helper store\u001b[0m\n"
323
+ ]
324
+ }
325
+ ]
326
+ },
327
+ {
328
+ "cell_type": "code",
329
+ "source": [
330
+ "\n",
331
+ "from huggingface_hub.keras_mixin import push_to_hub_keras\n",
332
+ "push_to_hub_keras(model = model, repo_url = \"https://huggingface.co/keras-io/bidirectional-lstm-imdb\", organization = \"keras-io\")"
333
+ ],
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+ "metadata": {
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