Training in progress epoch 36
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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: 0.8025
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- Epoch:
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## Model description
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| 0.0252 | 0.9832 | 0.9947 | 1.8182 | 0.7837 | 0.7962 | 33 |
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| 0.0222 | 0.9863 | 0.9947 | 1.7854 | 0.7837 | 0.7931 | 34 |
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| 0.0216 | 0.9884 | 0.9947 | 1.5707 | 0.7931 | 0.8025 | 35 |
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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: 0.0161
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- Train End Logits Accuracy: 0.9937
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- Train Start Logits Accuracy: 0.9916
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- Validation Loss: 1.7071
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- Validation End Logits Accuracy: 0.7806
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- Validation Start Logits Accuracy: 0.8025
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- Epoch: 36
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## Model description
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| 0.0252 | 0.9832 | 0.9947 | 1.8182 | 0.7837 | 0.7962 | 33 |
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| 0.0222 | 0.9863 | 0.9947 | 1.7854 | 0.7837 | 0.7931 | 34 |
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| 0.0216 | 0.9884 | 0.9947 | 1.5707 | 0.7931 | 0.8025 | 35 |
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| 0.0161 | 0.9937 | 0.9916 | 1.7071 | 0.7806 | 0.8025 | 36 |
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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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