discharge-8000
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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2539
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- Accuracy: 0.9072
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- F1: 0.9072
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.4848 | 1.0 | 1613 | 0.3375 | 0.8592 | 0.8589 |
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| 0.3454 | 2.0 | 3226 | 0.2539 | 0.9072 | 0.9072 |
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### Framework versions
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model.safetensors
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runs/Jan17_19-57-36_19dc099b2365/events.out.tfevents.1705521456.19dc099b2365.26009.0
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training_args.bin
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