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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) 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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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
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| No log | 1.0 | 89 | 0.
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| No log | 2.0 | 178 | 0.
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| No log | 3.0 | 267 | 0.
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1899
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- Accuracy: 0.944
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- Precision: 0.948
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- Recall: 0.915
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- F1: 0.93
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
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| No log | 1.0 | 89 | 0.3850 | 0.878 | 0.868 | 0.806 | 0.828 |
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| No log | 2.0 | 178 | 0.2336 | 0.94 | 0.918 | 0.902 | 0.908 |
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| No log | 3.0 | 267 | 0.1899 | 0.944 | 0.948 | 0.915 | 0.93 |
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### Framework versions
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