| library_name: transformers | |
| pipeline_tag: text-classification | |
| tags: | |
| - text-classification | |
| - sentiment-analysis | |
| - distilbert | |
| datasets: | |
| - cornell-movie-review-data/rotten_tomatoes | |
| # DistilBERT Sentiment Classifier | |
| DistilBERT fine-tuned for sentiment analysis on Rotten Tomatoes movie reviews. | |
| ## Repository | |
| `sofiane-isi/distilbert-sentiment` | |
| ## Dataset | |
| `cornell-movie-review-data/rotten_tomatoes` | |
| Classes: | |
| - NEGATIVE | |
| - POSITIVE | |
| ## Evaluation | |
| - Accuracy: 0.8461538461538461 | |
| - Evaluation loss: 0.42963317036628723 | |
| ## Base model | |
| `distilbert-base-uncased` | |
| ## MLOps workflow | |
| Dataset → tokenization → fine-tuning → evaluation → Hugging Face Hub → Model Card → Space. | |
| ## Limitations | |
| Educational binary sentiment classifier fine-tuned specifically on Rotten Tomatoes. | |