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authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "README.md: 0%| | 0.00/421 [00:00" ], "text/html": [ "\n", "
\n", " \n", " \n", " [2140/2140 02:18, Epoch 5/5]\n", "
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EpochTraining LossValidation LossAccuracyPrecisionRecallF1
11.1991001.1422600.4850790.5179560.4850790.434097
20.9189001.1482510.5231130.5361390.5231130.525249
30.5817001.3015990.5272090.5283140.5272090.526617
40.3983001.5769220.5125800.5219680.5125800.514726
50.1824001.7773190.5096550.5205960.5096550.511114

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\n", " \n", " \n", " [107/107 00:01]\n", "
\n", " " ] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "{'eval_loss': 1.7773188352584839, 'eval_accuracy': 0.5096547688706846, 'eval_precision': 0.5205957662071321, 'eval_recall': 0.5096547688706846, 'eval_f1': 0.5111142663697638, 'eval_runtime': 1.2663, 'eval_samples_per_second': 1349.602, 'eval_steps_per_second': 84.498, 'epoch': 5.0}\n" ] } ] }, { "cell_type": "code", "source": [ "from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "# Get predictions on test set\n", "preds = trainer.predict(test_dataset)\n", "\n", "# True and predicted labels\n", "y_true = preds.label_ids\n", "y_pred = np.argmax(preds.predictions, axis=1)\n", "\n", "# Define class names (make sure order matches your id2label mapping)\n", "class_names = [\"VERY_NEGATIVE\", \"NEGATIVE\", \"NEUTRAL\", \"POSITIVE\", \"VERY_POSITIVE\"]\n", "\n", "# Print classification report\n", "print(classification_report(y_true, y_pred, target_names=class_names, digits=4))" ], "metadata": { "id": "XoUsH03eycax", "colab": { "base_uri": "https://localhost:8080/", "height": 235 }, "outputId": "86559e91-b173-4a77-8953-fbe475066f71" }, "execution_count": 8, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [] }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ " precision recall f1-score support\n", "\n", "VERY_NEGATIVE 0.5809 0.3624 0.4463 218\n", " NEGATIVE 0.5196 0.5469 0.5329 437\n", " NEUTRAL 0.3325 0.4057 0.3654 318\n", " POSITIVE 0.5674 0.5553 0.5613 470\n", "VERY_POSITIVE 0.6151 0.6128 0.6139 266\n", "\n", " accuracy 0.5097 1709\n", " macro avg 0.5231 0.4966 0.5040 1709\n", " weighted avg 0.5206 0.5097 0.5111 1709\n", "\n" ] } ] }, { "cell_type": "code", "source": [ "import matplotlib.pyplot as plt\n", "\n", "# Count labels in the dataset\n", "label_counts = df[\"label\"].value_counts().sort_index()\n", "\n", "# Match class names (id2label from before)\n", "class_names = [\"VERY_NEGATIVE\", \"NEGATIVE\", \"NEUTRAL\", \"POSITIVE\", \"VERY_POSITIVE\"]\n", "\n", "# Plot\n", "plt.figure(figsize=(6,4))\n", "plt.bar(class_names, label_counts)\n", "plt.xlabel(\"Sentiment Classes\")\n", "plt.ylabel(\"Number of Samples\")\n", "plt.title(\"Class Distribution in Dataset\")\n", "plt.show()\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 410 }, "id": "KM26OIKXVnS3", "outputId": "57effa81-617b-4b20-84bd-0c78b28ed0c8" }, "execution_count": 12, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# If needed: !pip install seaborn\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from sklearn.metrics import confusion_matrix\n", "\n", "# 1) Get predictions from Trainer\n", "preds = trainer.predict(test_dataset)\n", "y_true = preds.label_ids\n", "y_pred = np.argmax(preds.predictions, axis=1)\n", "\n", "# 2) Labels (5-class SST-5)\n", "labels = [\"VERY_NEGATIVE\",\"NEGATIVE\",\"NEUTRAL\",\"POSITIVE\",\"VERY_POSITIVE\"]\n", "\n", "# 3) Confusion matrices: counts and row-normalized\n", "cm = confusion_matrix(y_true, y_pred, labels=range(len(labels)))\n", "cm_norm = cm.astype(float) / cm.sum(axis=1, keepdims=True)\n", "\n", "# 4) Heatmap — counts\n", "plt.figure(figsize=(7,6))\n", "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n", " xticklabels=labels, yticklabels=labels)\n", "plt.title(\"Confusion Matrix (Counts)\")\n", "plt.xlabel(\"Predicted\")\n", "plt.ylabel(\"True\")\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# 5) Heatmap — row-normalized (per-class accuracy distribution)\n", "plt.figure(figsize=(7,6))\n", "sns.heatmap(cm_norm, annot=True, fmt='.2f', cmap='Greens',\n", " vmin=0, vmax=1, xticklabels=labels, yticklabels=labels)\n", "plt.title(\"Confusion Matrix (Row-Normalized)\")\n", "plt.xlabel(\"Predicted\")\n", "plt.ylabel(\"True\")\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# (Optional) Save figures\n", "# plt.savefig(\"cm_counts.png\", dpi=200, bbox_inches='tight')\n", "# plt.savefig(\"cm_normalized.png\", dpi=200, bbox_inches='tight')\n" ], "metadata": { "id": "YeAxCJ3P-Ce5", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "8f25cd26-8583-4f96-8625-fb5fe360a557" }, "execution_count": 9, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "model.save_pretrained(\"./sentiment_model\")\n", "tokenizer.save_pretrained(\"./sentiment_model\")\n", "\n", "!zip -r sentiment_model.zip sentiment_model\n", "from google.colab import files\n", "files.download(\"sentiment_model.zip\")" ], "metadata": { "id": "rAvwIkay-ITE", "colab": { "base_uri": "https://localhost:8080/", "height": 961 }, "outputId": "d3ad0905-199d-4fea-b476-02dd6fd52070" }, "execution_count": 10, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " adding: sentiment_model/ (stored 0%)\n", " adding: sentiment_model/checkpoint-428/ (stored 0%)\n", " adding: sentiment_model/checkpoint-428/rng_state.pth (deflated 26%)\n", " adding: sentiment_model/checkpoint-428/trainer_state.json (deflated 67%)\n", " adding: sentiment_model/checkpoint-428/optimizer.pt (deflated 28%)\n", " adding: sentiment_model/checkpoint-428/training_args.bin (deflated 53%)\n", " adding: sentiment_model/checkpoint-428/scheduler.pt (deflated 61%)\n", " adding: sentiment_model/checkpoint-428/scaler.pt (deflated 64%)\n", " adding: sentiment_model/checkpoint-428/model.safetensors (deflated 8%)\n", " adding: sentiment_model/checkpoint-428/config.json (deflated 50%)\n", " adding: sentiment_model/checkpoint-1712/ (stored 0%)\n", " adding: sentiment_model/checkpoint-1712/rng_state.pth (deflated 26%)\n", " adding: sentiment_model/checkpoint-1712/trainer_state.json (deflated 76%)\n", " adding: sentiment_model/checkpoint-1712/optimizer.pt (deflated 28%)\n", " adding: sentiment_model/checkpoint-1712/training_args.bin (deflated 53%)\n", " adding: sentiment_model/checkpoint-1712/scheduler.pt (deflated 61%)\n", " adding: sentiment_model/checkpoint-1712/scaler.pt (deflated 64%)\n", " adding: sentiment_model/checkpoint-1712/model.safetensors (deflated 8%)\n", " adding: sentiment_model/checkpoint-1712/config.json (deflated 50%)\n", " adding: sentiment_model/tokenizer.json (deflated 71%)\n", " adding: sentiment_model/tokenizer_config.json (deflated 75%)\n", " adding: sentiment_model/vocab.txt (deflated 53%)\n", " adding: sentiment_model/checkpoint-856/ (stored 0%)\n", " adding: sentiment_model/checkpoint-856/rng_state.pth (deflated 26%)\n", " adding: sentiment_model/checkpoint-856/trainer_state.json (deflated 73%)\n", " adding: sentiment_model/checkpoint-856/optimizer.pt (deflated 28%)\n", " adding: sentiment_model/checkpoint-856/training_args.bin (deflated 53%)\n", " adding: sentiment_model/checkpoint-856/scheduler.pt (deflated 61%)\n", " adding: sentiment_model/checkpoint-856/scaler.pt (deflated 64%)\n", " adding: sentiment_model/checkpoint-856/model.safetensors (deflated 8%)\n", " adding: sentiment_model/checkpoint-856/config.json (deflated 50%)\n", " adding: sentiment_model/checkpoint-1284/ (stored 0%)\n", " adding: sentiment_model/checkpoint-1284/rng_state.pth (deflated 26%)\n", " adding: sentiment_model/checkpoint-1284/trainer_state.json (deflated 75%)\n", " adding: sentiment_model/checkpoint-1284/optimizer.pt (deflated 28%)\n", " adding: sentiment_model/checkpoint-1284/training_args.bin (deflated 53%)\n", " adding: sentiment_model/checkpoint-1284/scheduler.pt (deflated 61%)\n", " adding: sentiment_model/checkpoint-1284/scaler.pt (deflated 64%)\n", " adding: sentiment_model/checkpoint-1284/model.safetensors (deflated 8%)\n", " adding: sentiment_model/checkpoint-1284/config.json (deflated 50%)\n", " adding: sentiment_model/checkpoint-2140/ (stored 0%)\n", " adding: sentiment_model/checkpoint-2140/rng_state.pth (deflated 26%)\n", " adding: sentiment_model/checkpoint-2140/trainer_state.json (deflated 77%)\n", " adding: sentiment_model/checkpoint-2140/optimizer.pt (deflated 28%)\n", " adding: sentiment_model/checkpoint-2140/training_args.bin (deflated 53%)\n", " adding: sentiment_model/checkpoint-2140/scheduler.pt (deflated 62%)\n", " adding: sentiment_model/checkpoint-2140/scaler.pt (deflated 64%)\n", " adding: sentiment_model/checkpoint-2140/model.safetensors (deflated 8%)\n", " adding: sentiment_model/checkpoint-2140/config.json (deflated 50%)\n", " adding: sentiment_model/special_tokens_map.json (deflated 42%)\n", " adding: sentiment_model/model.safetensors (deflated 8%)\n", " adding: sentiment_model/config.json (deflated 50%)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "\n", " async function download(id, filename, size) {\n", " if (!google.colab.kernel.accessAllowed) {\n", " return;\n", " }\n", " const div = document.createElement('div');\n", " const label = document.createElement('label');\n", " label.textContent = `Downloading \"${filename}\": `;\n", " div.appendChild(label);\n", " const progress = document.createElement('progress');\n", " progress.max = size;\n", " div.appendChild(progress);\n", " document.body.appendChild(div);\n", "\n", " const buffers = [];\n", " let downloaded = 0;\n", "\n", " const channel = await google.colab.kernel.comms.open(id);\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", "\n", " for await (const message of channel.messages) {\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", " if (message.buffers) {\n", " for (const buffer of message.buffers) {\n", " buffers.push(buffer);\n", " downloaded += buffer.byteLength;\n", " progress.value = downloaded;\n", " }\n", " }\n", " }\n", " const blob = new Blob(buffers, {type: 'application/binary'});\n", " const a = document.createElement('a');\n", " a.href = window.URL.createObjectURL(blob);\n", " a.download = filename;\n", " div.appendChild(a);\n", " a.click();\n", " div.remove();\n", " }\n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "download(\"download_7329ff4d-6c76-478d-a4d5-89696acaa0af\", \"sentiment_model.zip\", 3403046057)" ] }, "metadata": {} } ] }, { "cell_type": "code", "source": [], "metadata": { "id": "splnFxYHcatJ" }, "execution_count": null, "outputs": [] } ] }