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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: 1.0
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- Recall: 1.0
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- F1: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1
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| No log | 7.14 | 50 | 0.
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| No log | 14.29 | 100 | 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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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: 0.5027
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 7.14 | 50 | 0.8644 | 1.0 | 1.0 | 1.0 | 1.0 |
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| No log | 14.29 | 100 | 0.5027 | 1.0 | 1.0 | 1.0 | 1.0 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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