Training in progress epoch 16
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.6270
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- Train Accuracy: 0.7349
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- Epoch:
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## Model description
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| 0.2053 | 0.6270 | 0.7349 | 13 |
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| 0.2114 | 0.6270 | 0.7349 | 14 |
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.2063
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- Validation Loss: 0.6270
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- Train Accuracy: 0.7349
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- Epoch: 16
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## Model description
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| 0.2053 | 0.6270 | 0.7349 | 13 |
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| 0.2114 | 0.6270 | 0.7349 | 14 |
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| 0.2037 | 0.6270 | 0.7349 | 15 |
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| 0.2063 | 0.6270 | 0.7349 | 16 |
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### Framework versions
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