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README.md
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# distilbert-base-uncased-finetuned-emotion
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2195
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- Accuracy: 0.9235
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- F1: 0.9233
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## Model description
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distilbert is a variant of bert model(one of LLM models). This model with a classification head is used to classify the emotions of the input tweet.
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## Emotion Labels
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- **label_0:** Sadness
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# distilbert-base-uncased-finetuned-emotion
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distilbert is a variant of bert model(one of LLM models). This model with a classification head is used to classify the emotions of the input tweet.
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2195
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- Accuracy: 0.9235
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- F1: 0.9233
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## Emotion Labels
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- **label_0:** Sadness
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