End of training
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README.md
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown 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: {'accuracy': 1.0}
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- Precision: {'precision': 1.0}
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- Recall: {'recall': 1.0}
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy
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| No log | 1.0 | 160 | 0.
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| No log | 2.0 | 320 | 0.
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| No log | 3.0 | 480 | 0.
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### Framework versions
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0001
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- Accuracy: {'accuracy': 1.0}
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- Precision: {'precision': 1.0}
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- Recall: {'recall': 1.0}
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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| No log | 1.0 | 160 | 0.0325 | {'accuracy': 0.990625} | {'precision': 0.99079754601227} | {'recall': 0.990625} | {'f1': 0.9906241759529646} |
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| No log | 2.0 | 320 | 0.0002 | {'accuracy': 1.0} | {'precision': 1.0} | {'recall': 1.0} | {'f1': 1.0} |
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| No log | 3.0 | 480 | 0.0001 | {'accuracy': 1.0} | {'precision': 1.0} | {'recall': 1.0} | {'f1': 1.0} |
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| 0.0367 | 4.0 | 640 | 0.0001 | {'accuracy': 1.0} | {'precision': 1.0} | {'recall': 1.0} | {'f1': 1.0} |
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### Framework versions
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