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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: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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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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| No log | 11.0 |
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| No log | 12.0 |
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| No log | 13.0 |
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| No log | 14.0 |
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| No log | 15.0 |
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| No log | 16.0 |
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| No log | 17.0 |
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| No log | 18.0 |
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| No log | 19.0 |
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| No log | 20.0 |
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### Framework versions
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- Transformers 4.
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.
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- Tokenizers 0.12.1
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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: 0.0980
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 7 | 5.1021 |
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| No log | 2.0 | 14 | 4.1721 |
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| No log | 3.0 | 21 | 3.2209 |
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| No log | 4.0 | 28 | 2.4137 |
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| No log | 5.0 | 35 | 1.8316 |
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| No log | 6.0 | 42 | 1.3772 |
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| No log | 7.0 | 49 | 0.9963 |
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| No log | 8.0 | 56 | 0.7264 |
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| No log | 9.0 | 63 | 0.4965 |
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| No log | 10.0 | 70 | 0.3797 |
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| No log | 11.0 | 77 | 0.3053 |
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| No log | 12.0 | 84 | 0.2541 |
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| No log | 13.0 | 91 | 0.1910 |
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| No log | 14.0 | 98 | 0.1693 |
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| No log | 15.0 | 105 | 0.1259 |
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| No log | 16.0 | 112 | 0.1139 |
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| No log | 17.0 | 119 | 0.1170 |
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| No log | 18.0 | 126 | 0.1065 |
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| No log | 19.0 | 133 | 0.0987 |
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| No log | 20.0 | 140 | 0.0980 |
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### Framework versions
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- Transformers 4.20.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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