annamariagnat
commited on
End of training
Browse files
README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 0
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1134
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- Precision: 0.6850
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- Recall: 0.7560
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- F1: 0.7188
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- Accuracy: 0.9692
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 265 | 0.1490 | 0.5769 | 0.5816 | 0.5792 | 0.9579 |
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| 0.0775 | 2.0 | 530 | 0.1131 | 0.6524 | 0.7527 | 0.6989 | 0.9680 |
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| 0.0775 | 3.0 | 795 | 0.1134 | 0.6850 | 0.7560 | 0.7188 | 0.9692 |
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### Framework versions
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model.safetensors
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