SabaAnver/finetuned-imdb-sentiment

Finetuned IMDB Sentiment Model 🎬✨

This model is a fine-tuned version of distilbert-base-uncased on the IMDB dataset. It classifies movie reviews as positive (1) or negative (0).

📊 Training Details

• Optimizer: AdamW
• Learning Rate: 2e-5
• Batch size: 16
• Epochs: 3
• Train/Test split: 80/20

📈 Evaluation

The model achieves around 89.52% accuracy on the test set.

🚀 Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("SabaAnver/finetuned-imdb-sentiment")
model = AutoModelForSequenceClassification.from_pretrained("SabaAnver/finetuned-imdb-sentiment")

nlp = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer)
print(nlp("This movie was amazing!"))