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README.md
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) 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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- Precision: 0.7857
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- Recall: 0.275
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- F1: 0.4074
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 3.33 | 50 | 0.
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| No log | 6.67 | 100 | 0.
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### Framework versions
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This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1181
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- Precision: 0.7857
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- Recall: 0.275
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- F1: 0.4074
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 3.33 | 50 | 0.1194 | 0.7857 | 0.275 | 0.4074 | 0.9893 |
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| No log | 6.67 | 100 | 0.1181 | 0.7857 | 0.275 | 0.4074 | 0.9893 |
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### Framework versions
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