Model save
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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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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.56 | 100 | 0.
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| No log | 1.12 | 200 | 0.
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| No log | 1.68 | 300 | 0.
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| No log | 2.23 | 400 | 0.
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| 0.
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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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- Loss: 0.8696
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- Accuracy: 0.6735
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.56 | 100 | 0.6726 | 0.5885 |
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| No log | 1.12 | 200 | 0.7482 | 0.6785 |
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| No log | 1.68 | 300 | 0.7147 | 0.6743 |
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| No log | 2.23 | 400 | 0.8444 | 0.6775 |
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| 0.4473 | 2.79 | 500 | 0.8387 | 0.6869 |
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### Framework versions
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runs/Mar13_06-42-56_b07b2f1d4687/events.out.tfevents.1710312189.b07b2f1d4687.1059.0
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