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README.md CHANGED
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  ---
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  library_name: transformers
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- license: cc-by-nc-sa-4.0
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- base_model: TomasFAV/Layoutlmv3InvoiceCzech
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -19,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # Layoutlmv3InvoiceCzechV1
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- This model is a fine-tuned version of [TomasFAV/Layoutlmv3InvoiceCzech](https://huggingface.co/TomasFAV/Layoutlmv3InvoiceCzech) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1413
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- - Precision: 0.6053
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- - Recall: 0.6514
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- - F1: 0.6275
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- - Accuracy: 0.9689
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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- - train_batch_size: 16
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  - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 38 | 0.1411 | 0.6060 | 0.6531 | 0.6287 | 0.9689 |
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- | No log | 2.0 | 76 | 0.1842 | 0.5915 | 0.6345 | 0.6122 | 0.9661 |
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- | No log | 3.0 | 114 | 0.1798 | 0.5835 | 0.5973 | 0.5903 | 0.9666 |
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- | No log | 4.0 | 152 | 0.2263 | 0.5324 | 0.5973 | 0.5630 | 0.9614 |
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- | No log | 5.0 | 190 | 0.2114 | 0.5574 | 0.6159 | 0.5852 | 0.9634 |
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- | No log | 6.0 | 228 | 0.2181 | 0.5714 | 0.6362 | 0.6021 | 0.9648 |
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- | No log | 7.0 | 266 | 0.2181 | 0.6091 | 0.6328 | 0.6207 | 0.9667 |
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- | No log | 8.0 | 304 | 0.2266 | 0.5911 | 0.6311 | 0.6105 | 0.9653 |
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- | No log | 9.0 | 342 | 0.2288 | 0.5819 | 0.6193 | 0.6 | 0.9649 |
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- | No log | 10.0 | 380 | 0.2263 | 0.5787 | 0.6159 | 0.5967 | 0.9651 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # Layoutlmv3InvoiceCzechV1
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1750
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+ - Precision: 0.68
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+ - Recall: 0.6904
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+ - F1: 0.6851
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+ - Accuracy: 0.9714
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 75 | 0.1545 | 0.6769 | 0.6701 | 0.6735 | 0.9711 |
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+ | No log | 2.0 | 150 | 0.1658 | 0.6732 | 0.6937 | 0.6833 | 0.9695 |
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+ | No log | 3.0 | 225 | 0.1750 | 0.68 | 0.6904 | 0.6851 | 0.9714 |
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+ | No log | 4.0 | 300 | 0.1946 | 0.6881 | 0.6159 | 0.65 | 0.9707 |
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+ | No log | 5.0 | 375 | 0.1896 | 0.6941 | 0.6717 | 0.6827 | 0.9717 |
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+ | No log | 6.0 | 450 | 0.1979 | 0.6609 | 0.6430 | 0.6518 | 0.9704 |
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+ | 0.0193 | 7.0 | 525 | 0.1991 | 0.6702 | 0.6396 | 0.6545 | 0.9706 |
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+ | 0.0193 | 8.0 | 600 | 0.2014 | 0.6503 | 0.6261 | 0.6379 | 0.9698 |
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+ | 0.0193 | 9.0 | 675 | 0.1955 | 0.6523 | 0.6413 | 0.6468 | 0.9702 |
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+ | 0.0193 | 10.0 | 750 | 0.1956 | 0.6535 | 0.6447 | 0.6491 | 0.9704 |
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  ### Framework versions
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