Training in progress epoch 0
Browse files
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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- Validation Loss: 0.
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- Train Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.
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| 0.0309 | 0.0832 | 0.8873 | 0.8779 | 0.8826 | 0.9755 | 1 |
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| 0.0171 | 0.0983 | 0.8647 | 0.8921 | 0.8782 | 0.9741 | 2 |
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| 0.0107 | 0.1055 | 0.8740 | 0.8915 | 0.8827 | 0.9751 | 3 |
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| 0.0074 | 0.1164 | 0.8788 | 0.8852 | 0.8820 | 0.9750 | 4 |
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| 0.0058 | 0.1195 | 0.8752 | 0.8882 | 0.8816 | 0.9750 | 5 |
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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: 0.0762
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- Validation Loss: 0.0714
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- Train Precision: 0.8685
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- Train Recall: 0.8803
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- Train F1: 0.8744
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- Train Accuracy: 0.9737
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.0762 | 0.0714 | 0.8685 | 0.8803 | 0.8744 | 0.9737 | 0 |
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### Framework versions
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logs/train/events.out.tfevents.1701573914.snek.3031.0.v2
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logs/validation/events.out.tfevents.1701575415.snek.3031.1.v2
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metrics_by_entity.txt
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