ashhadahsan
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Training in progress epoch 26
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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 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.
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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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| 0.0132 | 0.9915 | 0.7791 | 0.8722 | 23 |
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| 0.0131 | 0.9923 | 0.7567 | 0.8797 | 24 |
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| 0.0134 | 0.9915 | 0.7809 | 0.8797 | 25 |
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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: 0.0125
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- Train Accuracy: 0.9925
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- Validation Loss: 0.7941
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- Validation Accuracy: 0.8797
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- Epoch: 26
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## Model description
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| 0.0132 | 0.9915 | 0.7791 | 0.8722 | 23 |
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| 0.0131 | 0.9923 | 0.7567 | 0.8797 | 24 |
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| 0.0134 | 0.9915 | 0.7809 | 0.8797 | 25 |
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| 0.0125 | 0.9925 | 0.7941 | 0.8797 | 26 |
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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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tf_model.h5
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