Training in progress epoch 32
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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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| 0.0255 | 0.9853 | 0.9937 | 1.6061 | 0.7774 | 0.7962 | 29 |
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| 0.0214 | 0.9863 | 0.9937 | 1.7697 | 0.7712 | 0.8056 | 30 |
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| 0.0283 | 0.9842 | 0.9863 | 1.8398 | 0.7806 | 0.7900 | 31 |
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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: 0.0182
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- Train End Logits Accuracy: 0.9905
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- Train Start Logits Accuracy: 0.9926
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- Validation Loss: 1.8756
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- Validation End Logits Accuracy: 0.7837
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- Validation Start Logits Accuracy: 0.7994
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- Epoch: 32
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## Model description
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| 0.0255 | 0.9853 | 0.9937 | 1.6061 | 0.7774 | 0.7962 | 29 |
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| 0.0214 | 0.9863 | 0.9937 | 1.7697 | 0.7712 | 0.8056 | 30 |
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| 0.0283 | 0.9842 | 0.9863 | 1.8398 | 0.7806 | 0.7900 | 31 |
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| 0.0182 | 0.9905 | 0.9926 | 1.8756 | 0.7837 | 0.7994 | 32 |
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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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