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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 becasv2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 5 | 5.
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| No log | 2.0 | 10 | 4.
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| No log | 3.0 | 15 |
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| No log | 4.0 | 20 | 4.
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| No log | 5.0 | 25 | 4.
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| No log | 6.0 | 30 | 5.
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| No log | 7.0 | 35 | 5.
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| No log | 8.0 | 40 | 5.
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| No log | 9.0 | 45 | 5.
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| No log | 10.0 | 50 | 5.
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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 becasv2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.9173
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 5 | 5.0022 |
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| No log | 2.0 | 10 | 4.4653 |
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| No log | 3.0 | 15 | 3.7818 |
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| No log | 4.0 | 20 | 4.4116 |
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| No log | 5.0 | 25 | 4.6704 |
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| No log | 6.0 | 30 | 5.1893 |
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| No log | 7.0 | 35 | 5.6040 |
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| No log | 8.0 | 40 | 5.8588 |
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| No log | 9.0 | 45 | 5.8949 |
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| No log | 10.0 | 50 | 5.9173 |
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### Framework versions
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