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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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) 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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- Accuracy: 0.
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- F1: 0.
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## Model description
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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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5474
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- Accuracy: 0.743
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- F1: 0.8109
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## Model description
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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 | 0.5455 | 0.802 | 0.8313 |
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| 0.6434 | 2.0 | 752 | 0.5569 | 0.785 | 0.8416 |
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| 0.6356 | 3.0 | 1128 | 0.6061 | 0.711 | 0.8038 |
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| 0.5902 | 4.0 | 1504 | 0.5471 | 0.745 | 0.8200 |
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| 0.5902 | 5.0 | 1880 | 0.5474 | 0.743 | 0.8109 |
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### Framework versions
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pytorch_model.bin
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runs/Jul01_06-11-20_d2af70347990/events.out.tfevents.1688191893.d2af70347990.255.2
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