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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 |
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| No log | 2.0 |
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| 1.
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5869
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- Accuracy: 0.4489
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 163 | 1.6259 | 0.4358 |
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| No log | 2.0 | 326 | 1.5705 | 0.4478 |
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| No log | 3.0 | 489 | 1.5566 | 0.4527 |
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| 1.6342 | 4.0 | 652 | 1.5656 | 0.4537 |
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| 1.6342 | 5.0 | 815 | 1.5721 | 0.4504 |
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| 1.6342 | 6.0 | 978 | 1.5825 | 0.4491 |
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| 1.3404 | 7.0 | 1141 | 1.5869 | 0.4489 |
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### Framework versions
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