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update milestone-3 notebook

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3846
  "base_uri": "https://localhost:8080/"
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3874
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3876
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3877
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3878
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3879
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3880
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3881
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3890
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3892
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3893
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3894
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3895
+ "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.16.4)\n",
3896
+ "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (3.12.2)\n",
3897
+ "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2023.6.0)\n",
3898
+ "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2.27.1)\n",
3899
+ "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.65.0)\n",
3900
+ "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (6.0.1)\n",
3901
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (4.7.1)\n",
3902
+ "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (23.1)\n",
3903
+ "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (1.26.16)\n",
3904
+ "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2023.5.7)\n",
3905
+ "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2.0.12)\n",
3906
+ "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (3.4)\n"
3907
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3908
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3909
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3910
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3911
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3912
  "cell_type": "markdown",
3913
  "source": [
 
3974
  "\n",
3975
  "from transformers import logging\n",
3976
  "\n",
3977
+ "logging.set_verbosity_warning()\n",
3978
+ "\n",
3979
+ "from huggingface_hub import notebook_login\n",
3980
+ "\n",
3981
+ "notebook_login()"
3982
  ],
3983
  "metadata": {
3984
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3985
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4024
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4025
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4026
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4027
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4028
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4029
+ "data": {
4030
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4031
+ "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
4032
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4033
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4036
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4037
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4038
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4039
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4040
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4041
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4042
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4043
  {
4044
  "cell_type": "markdown",
 
7055
  {
7056
  "cell_type": "code",
7057
  "source": [
7058
+ "model = DistilBertForSequenceClassification.from_pretrained(model_name, num_labels=2)\n",
7059
  "\n"
7060
  ],
7061
  "metadata": {
 
7063
  "base_uri": "https://localhost:8080/"
7064
  },
7065
  "id": "cR-q_5PuUt0x",
7066
+ "outputId": "718cdac1-4a2c-4270-cc0e-bf7b0748ed7e"
7067
  },
7068
+ "execution_count": 140,
7069
  "outputs": [
7070
  {
7071
  "output_type": "stream",
 
7106
  "colab": {
7107
  "base_uri": "https://localhost:8080/"
7108
  },
7109
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7110
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7111
+ "execution_count": 141,
7112
  "outputs": [
7113
  {
7114
  "output_type": "execute_result",
 
7145
  " )\n",
7146
  " )\n",
7147
  " (pre_classifier): Linear(in_features=768, out_features=768, bias=True)\n",
7148
+ " (classifier): Linear(in_features=768, out_features=2, bias=True)\n",
7149
  " (dropout): Dropout(p=0.2, inplace=False)\n",
7150
  ")"
7151
  ]
7152
  },
7153
  "metadata": {},
7154
+ "execution_count": 141
7155
  }
7156
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7157
  },
 
7179
  "colab": {
7180
  "base_uri": "https://localhost:8080/"
7181
  },
7182
+ "outputId": "1a62ef33-8cfe-48aa-c3a9-e82894afa8ef"
7183
  },
7184
+ "execution_count": 142,
7185
  "outputs": [
7186
  {
 
 
 
 
7187
  "output_type": "stream",
7188
+ "name": "stdout",
7189
  "text": [
7190
  "tensor([[ 101, 1015, 1012, ..., 16503, 2063, 102],\n",
7191
  " [ 101, 1015, 1012, ..., 3341, 2012, 102],\n",
 
7209
  "colab": {
7210
  "base_uri": "https://localhost:8080/"
7211
  },
7212
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7213
  },
7214
+ "execution_count": 143,
7215
  "outputs": [
7216
  {
 
 
 
 
7217
  "output_type": "stream",
7218
+ "name": "stdout",
7219
  "text": [
7220
  "tensor([[ 101, 1015, 1012, ..., 16503, 2063, 102],\n",
7221
  " [ 101, 1015, 1012, ..., 3341, 2012, 102],\n",
 
7252
  "colab": {
7253
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7254
  },
7255
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7256
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7257
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7258
  "outputs": [
7259
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7260
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7261
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7262
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7263
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7264
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7265
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7266
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7267
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7268
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7269
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7270
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7271
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7272
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7273
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7274
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7275
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7276
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7277
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7278
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7279
+ "tensor([[0.0673, 0.9327],\n",
7280
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7281
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7282
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7283
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7284
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7285
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7286
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7287
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7288
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7289
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7290
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7291
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7292
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7293
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7294
+ " [0.0673, 0.9327]])\n",
7295
  "tensor([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])\n",
7296
  "--------\n",
7297
  "tensor([0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1])\n",
 
7330
  "colab": {
7331
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7332
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7333
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7334
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7335
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7336
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7337
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7338
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7921
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7922
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7923
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7924
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7925
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7926
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7927
  "outputs": [
7928
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7929
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7953
  "metadata": {
7954
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7955
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7956
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7957
  "outputs": []
7958
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7959
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7965
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7966
  "id": "Km8eScKJl4VP"
7967
  },
7968
+ "execution_count": 148,
7969
  "outputs": []
7970
  },
7971
  {
 
7999
  "colab": {
8000
  "base_uri": "https://localhost:8080/"
8001
  },
8002
+ "outputId": "b72c9950-fd93-4dd8-da7e-4b14b6a6851f"
8003
  },
8004
+ "execution_count": 149,
8005
  "outputs": [
8006
  {
8007
  "output_type": "stream",
8008
  "name": "stdout",
8009
  "text": [
8010
+ "tensor([[-1.5923, 1.0368],\n",
8011
+ " [-1.5923, 1.0368],\n",
8012
+ " [-1.5925, 1.0366],\n",
8013
+ " [-1.5923, 1.0368],\n",
8014
+ " [-1.5923, 1.0368],\n",
8015
+ " [-1.5923, 1.0368]])\n",
8016
+ "tensor([[0.0673, 0.9327],\n",
8017
+ " [0.0673, 0.9327],\n",
8018
+ " [0.0673, 0.9327],\n",
8019
+ " [0.0673, 0.9327],\n",
8020
+ " [0.0673, 0.9327],\n",
8021
+ " [0.0673, 0.9327]])\n",
8022
  "tensor([1, 1, 1, 1, 1, 1])\n",
8023
  "--------\n",
8024
  "tensor([1, 1, 0, 1, 1, 1])\n",
 
8029
  }
8030
  ]
8031
  },
8032
+ {
8033
+ "cell_type": "markdown",
8034
+ "source": [
8035
+ "## Share the tuned model to Hugging Face"
8036
+ ],
8037
+ "metadata": {
8038
+ "id": "rdWo3Erg3Nbo"
8039
+ }
8040
+ },
8041
+ {
8042
+ "cell_type": "code",
8043
+ "source": [
8044
+ "model_cpu.push_to_hub(\"ayethuzar/tuned-for-patentability\")"
8045
+ ],
8046
+ "metadata": {
8047
+ "colab": {
8048
+ "base_uri": "https://localhost:8080/",
8049
+ "height": 101,
8050
+ "referenced_widgets": [
8051
+ "93f98cafe9a54e49b1a6dae6031f9b8c",
8052
+ "caa56c9fb75f43b0974f9c02a933fe43",
8053
+ "991929bba22647d79be683d2946ebeac",
8054
+ "268104e667c64665be940dc048050040",
8055
+ "721f473c88c743ad8ababadc35bde1e9",
8056
+ "70cfa43583f54962bdc1cad4c32fc12a",
8057
+ "7d714e7e7fd9464a9239c926d4d4357d",
8058
+ "601ac88f59744374bfe70f6aa87473f3",
8059
+ "414abfed64794b47830d125bbf89e39c",
8060
+ "6af51f896d74438f9b7f931ae2e78bfd",
8061
+ "50c560a47cbb494bbf399efc4d464ce8"
8062
+ ]
8063
+ },
8064
+ "id": "BItDY3Up6yma",
8065
+ "outputId": "88c62d08-dd32-449d-cc9f-5fa524e7c569"
8066
+ },
8067
+ "execution_count": 160,
8068
+ "outputs": [
8069
+ {
8070
+ "output_type": "display_data",
8071
+ "data": {
8072
+ "text/plain": [
8073
+ "pytorch_model.bin: 0%| | 0.00/268M [00:00<?, ?B/s]"
8074
+ ],
8075
+ "application/vnd.jupyter.widget-view+json": {
8076
+ "version_major": 2,
8077
+ "version_minor": 0,
8078
+ "model_id": "93f98cafe9a54e49b1a6dae6031f9b8c"
8079
+ }
8080
+ },
8081
+ "metadata": {}
8082
+ },
8083
+ {
8084
+ "output_type": "execute_result",
8085
+ "data": {
8086
+ "text/plain": [
8087
+ "CommitInfo(commit_url='https://huggingface.co/ayethuzar/tuned-for-patentability/commit/5c336ab0841277420d783d479d6200536740747b', commit_message='Upload DistilBertForSequenceClassification', commit_description='', oid='5c336ab0841277420d783d479d6200536740747b', pr_url=None, pr_revision=None, pr_num=None)"
8088
+ ]
8089
+ },
8090
+ "metadata": {},
8091
+ "execution_count": 160
8092
+ }
8093
+ ]
8094
+ },
8095
  {
8096
  "cell_type": "markdown",
8097
  "source": [