End of training
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README.md
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- generated_from_trainer
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datasets:
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- emotion
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metrics:
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- accuracy
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- f1
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model-index:
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- name: exemple1-finetuned-emotions
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results: []
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# exemple1-finetuned-emotions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the dair-ai/emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8059
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- Accuracy: 0.1
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- F1: 0.0182
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 |
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### Framework versions
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- generated_from_trainer
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datasets:
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- emotion
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model-index:
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- name: exemple1-finetuned-emotions
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results: []
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# exemple1-finetuned-emotions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the dair-ai/emotion dataset.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 250 | 0.5272 | 0.8415 | 0.8255 |
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### Framework versions
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