Training in progress epoch 2
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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 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: 0.7336
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- Train Precision: 0.4712
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- Train Recall: 0.4993
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- Train F1: 0.4848
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- Train Accuracy: 0.6975
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- Epoch:
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## Model description
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| 0.6938 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 0 |
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| 0.6834 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 1 |
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.6861
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- Validation Loss: 0.7336
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- Train Precision: 0.4712
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- Train Recall: 0.4993
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- Train F1: 0.4848
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- Train Accuracy: 0.6975
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- Epoch: 2
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## Model description
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.6938 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 0 |
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| 0.6834 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 1 |
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| 0.6861 | 0.7336 | 0.4712 | 0.4993 | 0.4848 | 0.6975 | 2 |
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### Framework versions
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