Training in progress epoch 1
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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:
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- Train End Logits Accuracy: 0.
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- Train Start Logits Accuracy: 0.
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- Validation Loss:
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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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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 5.1787 | 0.0571 | 0.0496 | 4.3181 | 0.1724 | 0.1818 | 0 |
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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: 3.6307
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- Train End Logits Accuracy: 0.25
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- Train Start Logits Accuracy: 0.1810
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- Validation Loss: 2.8944
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- Validation End Logits Accuracy: 0.3793
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- Validation Start Logits Accuracy: 0.2476
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- Epoch: 1
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## Model description
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| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
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|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
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| 5.1787 | 0.0571 | 0.0496 | 4.3181 | 0.1724 | 0.1818 | 0 |
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| 3.6307 | 0.25 | 0.1810 | 2.8944 | 0.3793 | 0.2476 | 1 |
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### Framework versions
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logs/train/events.out.tfevents.1720241628.168f4cd3ffa1.187.0.v2
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logs/validation/events.out.tfevents.1720241713.168f4cd3ffa1.187.1.v2
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tf_model.h5
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