HariharanPadmanaban2005/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

• 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

Model Sources [optional]

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Uses

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

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