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README.md

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+---
+language: en
+license: mit
+datasets: imdb
+tags:
+  - sentiment-analysis
+  - transformers
+  - huggingface
+---
+
+# 🎬 IMDb Sentiment Classifier  
+This is a fine-tuned **DistilBERT model** for analyzing sentiment in IMDb movie reviews.
+
+## 📌 Dataset
+- **Source:** IMDb dataset from Hugging Face Datasets  
+- **Task:** Binary classification (Positive / Negative)
+
+## 📌 Training Details
+- **Model:** `distilbert-base-uncased`
+- **Learning rate:** `2e-5`
+- **Batch size:** `4`
+- **Epochs:** `1`
+- **Loss function:** CrossEntropyLoss
+
+## 📌 Evaluation Results
+| Metric     | Score  |
+|------------|--------|
+| Accuracy   | 92.5%  |
+| F1-score   | 92.6%  |
+| Precision  | 92.9%  |
+| Recall     | 92.3%  |
+
+## 📌 How to Use
+```python
+from transformers import pipeline
+
+classifier = pipeline("text-classification", model="Camilla9000/imdb-sentiment-classifier")
+print(classifier("This movie was amazing!"))