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--- |
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language: en |
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tags: |
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- emotion-classification |
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datasets: |
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- bdotloh/empathetic-dialogues-contexts |
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--- |
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# Model Description |
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This is a distilbert-base-uncased model fine-tuned for the purpose of classifying [(emotional) contexts in the Empathetic Dialogues dataset](https://huggingface.co/datasets/bdotloh/empathetic-dialogues-contexts). |
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The fine-tuned distilbert-base-uncased can be found [here](https://huggingface.co/bhadresh-savani/bert-base-go-emotion). |
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### Limitations and bias |
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EmpatheticDialogues: |
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1) Unable to ascertain the degree of cultural specificity for the context that a respondent described when given an emotion label (i.e., p(description | emotion, *culture*)) |
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2) ... |
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## Training data |
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see [dataset](https://huggingface.co/datasets/bdotloh/empathetic-dialogues-contexts) |
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## Training procedure |
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### Preprocessing |
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## Evaluation results |
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## Test results |
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Top 1 accuracy: 53.4 |
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Top 5 accuracy: 86.1 |
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