ashhadahsan
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Training in progress epoch 11
Browse files
README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Train Accuracy: 0.9913
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- Validation Loss: 0.
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- Validation Accuracy: 0.8797
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- Epoch:
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## Model description
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| 0.0184 | 0.9911 | 0.6244 | 0.8797 | 8 |
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| 0.0170 | 0.9904 | 0.6235 | 0.8797 | 9 |
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| 0.0159 | 0.9913 | 0.6619 | 0.8797 | 10 |
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.0164
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- Train Accuracy: 0.9913
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- Validation Loss: 0.6501
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- Validation Accuracy: 0.8797
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- Epoch: 11
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## Model description
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| 0.0184 | 0.9911 | 0.6244 | 0.8797 | 8 |
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| 0.0170 | 0.9904 | 0.6235 | 0.8797 | 9 |
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| 0.0159 | 0.9913 | 0.6619 | 0.8797 | 10 |
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| 0.0164 | 0.9913 | 0.6501 | 0.8797 | 11 |
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### Framework versions
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logs/train/events.out.tfevents.1692296835.470540468b49.1002.0.v2
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logs/validation/events.out.tfevents.1692297011.470540468b49.1002.1.v2
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