End of training
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README.md
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This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 100.0 | 100 | 1.
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| No log | 200.0 | 200 | 1.
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| No log | 300.0 | 300 | 1.
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| No log | 400.0 | 400 | 1.
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### Framework versions
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This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2866
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 100.0 | 100 | 1.0562 | 0.0 | 0.0 | 0.0 | 0.8871 |
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| No log | 200.0 | 200 | 1.1521 | 0.0 | 0.0 | 0.0 | 0.8871 |
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| No log | 300.0 | 300 | 1.2027 | 0.0 | 0.0 | 0.0 | 0.8871 |
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| No log | 400.0 | 400 | 1.2352 | 0.0 | 0.0 | 0.0 | 0.8871 |
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| 0.0407 | 500.0 | 500 | 1.2592 | 0.0 | 0.0 | 0.0 | 0.8871 |
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| 0.0407 | 600.0 | 600 | 1.2745 | 0.0 | 0.0 | 0.0 | 0.8871 |
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| 0.0407 | 700.0 | 700 | 1.2837 | 0.0 | 0.0 | 0.0 | 0.8871 |
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| 0.0407 | 800.0 | 800 | 1.2866 | 0.0 | 0.0 | 0.0 | 0.8871 |
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### Framework versions
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runs/Nov03_11-12-28_b52f149448af/events.out.tfevents.1699009957.b52f149448af.179.4
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