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abhilash88
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roberta-sentimentic

Text Classification
TensorBoard
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English
roberta
sentiment-analysis
imdb
sst2
fine-tuned
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Upload RoBERTa-Sentimentic: 89.2% IMDB, 91.5% SST-2

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  2. checkpoint-400/config.json +35 -0
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README.md ADDED
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+ # RoBERTa-Sentimentic 🎭
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+
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+ Fine-tuned RoBERTa for sentiment analysis, trained on 50k+ samples from IMDB and Stanford SST-2.
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+
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+ ## Performance
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+ - **IMDB**: 89.2% accuracy (+39.6% improvement)
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+ - **SST-2**: 91.5% accuracy (domain-specific)
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+ - **Cross-domain**: 87.7% accuracy (IMDB→SST)
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+
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+ ## Usage
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+ ```python
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+ from transformers import pipeline
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+ classifier = pipeline("sentiment-analysis", model="abhilash88/roberta-sentimentic")
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+ result = classifier("This movie is amazing!")
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+ ```
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+
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+ ## Training Details
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+ - **Base Model**: roberta-base
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+ - **Datasets**: IMDB (25k) + Stanford SST-2 (25k)
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+ - **Method**: Domain-specific fine-tuning with class balancing
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+ - **Performance**: Significant improvements across both datasets
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+
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+ ## Results Summary
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+ | Model | IMDB | SST-2 | Notes |
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+ |-------|------|-------|-------|
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+ | Pre-trained | 49.5% | 49.1% | Baseline |
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+ | Fine-tuned | 89.2% | 91.5% | Optimized |
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vocab.json ADDED
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