Model Card for Model ID
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
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128 max input length
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Trained with PyTorch + HuggingFace Trainer
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Developed by: Hariharan Padmanaban
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Model type: Multilabel Classification
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Language(s) (NLP): English
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License: MIT
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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
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
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Training Details
Training Data
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Training Procedure
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Evaluation
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Results
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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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