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update model card README.md

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@@ -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-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: 0.1134
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  - Precision: 0.7857
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  - Recall: 0.275
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  - F1: 0.4074
@@ -54,8 +54,8 @@ 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 | 3.33 | 50 | 0.1186 | 0.7857 | 0.275 | 0.4074 | 0.9893 |
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- | No log | 6.67 | 100 | 0.1134 | 0.7857 | 0.275 | 0.4074 | 0.9893 |
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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