Training in progress epoch 17
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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-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 End Logits Accuracy: 0.
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- Train Start Logits Accuracy: 0.
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- Validation Loss: 1.
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- Validation End Logits Accuracy: 0.
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- Validation Start Logits Accuracy: 0.
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- Epoch:
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## Model description
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| 0.1089 | 0.9548 | 0.9590 | 1.2442 | 0.7774 | 0.8088 | 14 |
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| 0.1023 | 0.9601 | 0.9622 | 1.4575 | 0.7931 | 0.7931 | 15 |
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| 0.0956 | 0.9590 | 0.9685 | 1.5160 | 0.7837 | 0.7900 | 16 |
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-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: 0.0712
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- Train End Logits Accuracy: 0.9727
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- Train Start Logits Accuracy: 0.9737
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- Validation Loss: 1.5741
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- Validation End Logits Accuracy: 0.7900
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- Validation Start Logits Accuracy: 0.8088
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- Epoch: 17
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## Model description
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| 0.1089 | 0.9548 | 0.9590 | 1.2442 | 0.7774 | 0.8088 | 14 |
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| 0.1023 | 0.9601 | 0.9622 | 1.4575 | 0.7931 | 0.7931 | 15 |
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| 0.0956 | 0.9590 | 0.9685 | 1.5160 | 0.7837 | 0.7900 | 16 |
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| 0.0712 | 0.9727 | 0.9737 | 1.5741 | 0.7900 | 0.8088 | 17 |
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### Framework versions
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logs/train/events.out.tfevents.1720282996.c0123902ebad.1520.0.v2
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logs/validation/events.out.tfevents.1720283083.c0123902ebad.1520.1.v2
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tf_model.h5
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