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:
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- F1: 0.
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.
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| 0.
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| 0.
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| 0.
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| 0.5907 | 5.0 | 2815 | 0.9934 | 0.6343 |
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| 0.4975 | 6.0 | 3378 | 1.0787 | 0.6281 |
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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: 0.9199
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- F1: 0.6244
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## Model description
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.0697 | 1.0 | 563 | 1.0279 | 0.5366 |
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| 0.8777 | 2.0 | 1126 | 0.9148 | 0.6086 |
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| 0.7762 | 3.0 | 1689 | 0.8739 | 0.6292 |
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| 0.6937 | 4.0 | 2252 | 0.9199 | 0.6244 |
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### Framework versions
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model.safetensors
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