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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