End of training
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README.md
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None 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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.
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| 0.
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| 0.
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| 0.128 | 5.0 | 355 | 0.7248 |
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| 0.0415 | 6.0 | 426 | 1.3762 |
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| 0.0541 | 7.0 | 497 | 1.4622 |
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| 0.1933 | 8.0 | 568 | 1.2163 |
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### Framework versions
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4533
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## Model description
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6973 | 1.0 | 71 | 0.6903 |
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| 0.3898 | 2.0 | 142 | 0.4707 |
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| 0.4063 | 3.0 | 213 | 0.4533 |
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| 0.2 | 4.0 | 284 | 0.7526 |
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### Framework versions
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