End of training
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README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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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 | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 |
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| No log | 10.0 |
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### Framework versions
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.1712
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.95
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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 | 2 | 0.3554 | 0.2 | 0.0667 | 0.1 | 0.94 |
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| No log | 2.0 | 4 | 0.2160 | 0.0 | 0.0 | 0.0 | 0.95 |
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| No log | 3.0 | 6 | 0.1906 | 0.0 | 0.0 | 0.0 | 0.95 |
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| No log | 4.0 | 8 | 0.1888 | 0.0 | 0.0 | 0.0 | 0.95 |
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| No log | 5.0 | 10 | 0.1854 | 0.0 | 0.0 | 0.0 | 0.95 |
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| No log | 6.0 | 12 | 0.1815 | 0.0 | 0.0 | 0.0 | 0.95 |
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| No log | 7.0 | 14 | 0.1772 | 0.0 | 0.0 | 0.0 | 0.95 |
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| No log | 8.0 | 16 | 0.1738 | 0.0 | 0.0 | 0.0 | 0.95 |
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| No log | 9.0 | 18 | 0.1719 | 0.0 | 0.0 | 0.0 | 0.95 |
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| No log | 10.0 | 20 | 0.1712 | 0.0 | 0.0 | 0.0 | 0.95 |
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### Framework versions
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runs/Jan16_10-52-51_f35fb2804064/events.out.tfevents.1737024772.f35fb2804064.206.3
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