Update README.md

README.md

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----
-license: apache-2.0
----
+---
+language: en
+tags:
+  - sentiment-analysis
+  - distilbert
+  - transformers
+license: mit
+license_file: LICENSE
+datasets:
+  - imdb
+metrics:
+  - accuracy
+  - f1
+  - precision
+  - recall
+model_type: distilbert
+---
+
+# Fine-tuned DistilBERT for Sentiment Analysis
+
+**Model Description**: A fine-tuned DistilBERT model for sentiment analysis on the IMDB dataset, capable of classifying movie reviews as positive or negative.
+
+## Model Details
+- **Model Type**: Transformer-based model (DistilBERT)
+- **Number of Labels**: 2 (Positive and Negative)
+- **Training Dataset**: IMDB Reviews
+
+## Training
+- **Training Data Size**: 20,000 samples for training and 5,000 samples for evaluation.
+- **Training Procedure**: The model was fine-tuned for 3 epochs with a batch size of 16.
+- **Evaluation Metrics**: Accuracy, Precision, Recall, F1-score.
+
+## Usage
+### Installation
+```bash
+pip install transformers