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End of training

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README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 1.2468
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
@@ -54,14 +54,14 @@ The following hyperparameters were used during training:
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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 | 1.0102 | 0.0 | 0.0 | 0.0 | 0.8871 |
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- | No log | 200.0 | 200 | 1.1051 | 0.0 | 0.0 | 0.0 | 0.8871 |
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- | No log | 300.0 | 300 | 1.1626 | 0.0 | 0.0 | 0.0 | 0.8871 |
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- | No log | 400.0 | 400 | 1.1922 | 0.0 | 0.0 | 0.0 | 0.8871 |
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- | 0.0373 | 500.0 | 500 | 1.2169 | 0.0 | 0.0 | 0.0 | 0.8871 |
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- | 0.0373 | 600.0 | 600 | 1.2343 | 0.0 | 0.0 | 0.0 | 0.8871 |
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- | 0.0373 | 700.0 | 700 | 1.2449 | 0.0 | 0.0 | 0.0 | 0.8871 |
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- | 0.0373 | 800.0 | 800 | 1.2468 | 0.0 | 0.0 | 0.0 | 0.8871 |
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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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