Upload evaluate.ipynb with huggingface_hub

evaluate.ipynb

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+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "6826a9ff-3dbb-42f1-b5ea-b2cd0cbabf44",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from transformers import (\n",
+ " AutoConfig,\n",
+ " AutoModelForSequenceClassification,\n",
+ " AutoTokenizer,\n",
+ " DataCollatorWithPadding,\n",
+ " EvalPrediction,\n",
+ " HfArgumentParser,\n",
+ " Trainer,\n",
+ " TrainingArguments,\n",
+ " default_data_collator,\n",
+ " set_seed,\n",
+ ")\n",
+ "import json\n",
+ "from tqdm import tqdm"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "477afce3-a672-4154-b5f4-b5cee162a6f7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model = AutoModelForSequenceClassification.from_pretrained(\"sentiment-malay-deberta/checkpoint-88000\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "d3d5a606-859e-4b26-a892-937296299ca8",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[{'label': 'negative', 'score': 0.6645314693450928}, {'label': 'negative', 'score': 0.9972461462020874}, {'label': 'positive', 'score': 0.9917457699775696}, {'label': 'positive', 'score': 0.9973276853561401}, {'label': 'negative', 'score': 0.9989587068557739}, {'label': 'negative', 'score': 0.9864065051078796}]\n"
+ ]
+ }
+ ],
+ "source": [
+ "from transformers import pipeline\n",
+ "sentiment_analysis = pipeline(\"sentiment-analysis\",model=\"sentiment-malay-deberta/checkpoint-88000\")\n",
+ "print(sentiment_analysis([\"teloq hang\",\"tak prihatin fikir kita ni apa\",\"bossku\",\"macam la dia tu hebat\",\"eh salah\",\"belagak pandai\"]))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "d8069cbf-8e5b-43a0-83b1-b00bf00e8526",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data = []\n",
+ "\n",
+ "with open('combined-data-sentiment.jsonl') as f:\n",
+ " for x in f:\n",
+ " result = json.loads(x)\n",
+ " if result['split'] != 'train':\n",
+ " data.append(result)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "bcdce6cf-34ab-4bdc-a317-48f1d9c187cf",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "100%|██████████████████████████████████████████████████████████████████████████████████████████| 10857/10857 [15:37<00:00, 11.58it/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "batch_size = 3\n",
+ "predicted_labels = []\n",
+ "for i in tqdm(range(0, len(data), batch_size)):\n",
+ " batch = data[i:i + batch_size]\n",
+ " batch_predictions = sentiment_analysis([x['text'] for x in batch])\n",
+ "\n",
+ " for predictions in batch_predictions:\n",
+ " max_score_label = predictions['label']\n",
+ "\n",
+ " predicted_labels.append(max_score_label)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "0ee8f722-4e53-4245-b27a-59224be2edf1",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/aisyah/.local/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+ " _warn_prf(average, modifier, msg_start, len(result))\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " precision recall f1-score support\n",
+ "\n",
+ " negative 0.94533 0.97434 0.95962 20108\n",
+ " neutral 0.00000 0.00000 0.00000 699\n",
+ " positive 0.92857 0.93505 0.93180 11762\n",
+ "\n",
+ " accuracy 0.93924 32569\n",
+ " macro avg 0.62463 0.63646 0.63047 32569\n",
+ "weighted avg 0.91899 0.93924 0.92897 32569\n",
+ "\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/aisyah/.local/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+ " _warn_prf(average, modifier, msg_start, len(result))\n",
+ "/home/aisyah/.local/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1471: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
+ " _warn_prf(average, modifier, msg_start, len(result))\n"
+ ]
+ }
+ ],
+ "source": [
+ "from sklearn.metrics import classification_report\n",
+ "\n",
+ "print(classification_report([x['sentiment'] for x in data],predicted_labels, digits = 5))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "59487536-1153-4ba7-80fc-e46a8080bfd8",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/aisyah/.local/lib/python3.8/site-packages/transformers/utils/hub.py:671: UserWarning: The `organization` argument is deprecated and will be removed in v5 of Transformers. Set your organization directly in the `repo_id` passed instead (`repo_id={organization}/{model_id}`).\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "5d8b05ef5fd444df96cb959d9829509b",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "model.safetensors: 0%| | 0.00/283M [00:00<?, ?B/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "CommitInfo(commit_url='https://huggingface.co/malaysia-ai/deberta-v3-xsmall-malay-sentiment/commit/544700f30bbb273144933f93417cd87cad9b4c94', commit_message='Upload DebertaV2ForSequenceClassification', commit_description='', oid='544700f30bbb273144933f93417cd87cad9b4c94', pr_url=None, pr_revision=None, pr_num=None)"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "model.push_to_hub('deberta-v3-xsmall-malay-sentiment', organization='malaysia-ai', safe_serialization=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "81de36e9-5e7e-4583-9c30-d835f7985858",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "tokenizer = AutoTokenizer.from_pretrained(\"sentiment-malay-deberta/checkpoint-88000\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "2ed2f170-8a46-47dd-9064-6cc0f2322230",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "0ff3af039e6d43ce8e3b3d164bc0991d",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "spm.model: 0%| | 0.00/2.46M [00:00<?, ?B/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "CommitInfo(commit_url='https://huggingface.co/malaysia-ai/deberta-v3-xsmall-malay-sentiment/commit/3ecb0599c10fb975720251091ff9b3ef2eced5b7', commit_message='Upload tokenizer', commit_description='', oid='3ecb0599c10fb975720251091ff9b3ef2eced5b7', pr_url=None, pr_revision=None, pr_num=None)"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "tokenizer.push_to_hub('deberta-v3-xsmall-malay-sentiment', organization='malaysia-ai', safe_serialization=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "a5c3a962-d1d2-40cc-b5b8-7c8d016dcc7d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "a9fec7de33ce48a2be756da4cfd46a97",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "combined-data-sentiment.jsonl: 0%| | 0.00/652M [00:00<?, ?B/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "CommitInfo(commit_url='https://huggingface.co/datasets/aisyahhrazak/combined-malay-sentiment/commit/9ab06163578a4743a657f66d3b39a38e014d8c4d', commit_message='Upload README.md with huggingface_hub', commit_description='', oid='9ab06163578a4743a657f66d3b39a38e014d8c4d', pr_url=None, pr_revision=None, pr_num=None)"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from huggingface_hub import HfApi\n",
+ "api = HfApi()\n",
+ "api.upload_file(\n",
+ " path_or_fileobj=\"combined-data-sentiment.jsonl\",\n",
+ " path_in_repo=\"README.md\",\n",
+ " repo_id=\"aisyahhrazak/combined-malay-sentiment\",\n",
+ " repo_type=\"dataset\",\n",
+ ")"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "venv",
+ "language": "python",
+ "name": "venv"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.10"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}