README.md

metadata

license: mit
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
language:
  - en
library_name: transformers
tags:
  - Roberta
  - Sentiment Analysis

Fine-tuned RoBERTa for Sentiment Analysis on Amazon Reviews

This is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the Amazon Reviews dataset for sentiment analysis.

Model Details

• Model Name: AnkitAI/reviews-roberta-base-sentiment-analysis
• Base Model: cardiffnlp/twitter-roberta-base-sentiment-latest
• Dataset: Amazon Reviews
• Fine-tuning: This model was fine-tuned for sentiment analysis with a classification head for binary sentiment classification (positive and negative).

Training

The model was trained using the following parameters:

• Learning Rate: 2e-5
• Batch Size: 16
• Epochs: 3
• Weight Decay: 0.01
• Evaluation Strategy: Epoch

Usage

You can use this model directly with the Hugging Face transformers library:

from transformers import RobertaForSequenceClassification, RobertaTokenizer

model_name = "AnkitAI/reviews-roberta-base-sentiment-analysis"
model = RobertaForSequenceClassification.from_pretrained(model_name)
tokenizer = RobertaTokenizer.from_pretrained(model_name)

# Example usage
inputs = tokenizer("This product is great!", return_tensors="pt")
outputs = model(**inputs)

License

This model is licensed under the mit license