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End of training
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README.md
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-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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- Accuracy: 0.
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- F1: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 376 | 0.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5551
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- Accuracy: 0.74
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- F1: 0.8097
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 376 | 0.5390 | 0.751 | 0.8258 |
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| 0.6156 | 2.0 | 752 | 0.5483 | 0.763 | 0.8276 |
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| 0.5787 | 3.0 | 1128 | 0.5385 | 0.761 | 0.8284 |
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| 0.5494 | 4.0 | 1504 | 0.5474 | 0.743 | 0.8120 |
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| 0.5494 | 5.0 | 1880 | 0.5551 | 0.74 | 0.8097 |
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### Framework versions
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pytorch_model.bin
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runs/Jul01_09-43-36_6311d75deb2c/events.out.tfevents.1688204637.6311d75deb2c.1494.4
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