bert-emotion-classifier

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This application uses a fine-tuned DistilBERT (distilbert-base-uncased) model trained on a multi-label emotion dataset (5 outputs).

Model Details

Model Description

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• Multi-label classification using BCEWithLogitsLoss

• 128 max input length

• Trained with PyTorch + HuggingFace Trainer

• Developed by: Hariharan Padmanaban

• Model type: Multilabel Classification

• Language(s) (NLP): English

• License: MIT

• Finetuned from model [optional]: distilbert-base-uncased

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Uses

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Bias, Risks, and Limitations

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Recommendations

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Training Details

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Evaluation

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Testing Data, Factors & Metrics

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Summary

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Environmental Impact

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Technical Specifications [optional]

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