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layoutlmv3_document_classification

Text Classification
Transformers
Safetensors
layoutlmv3
Generated from Trainer
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  1. README.md +10 -9
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # layoutlmv3_document_classification
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- This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4455
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- - Accuracy: 0.6845
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- - F1: 0.6680
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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- | 1.0061 | 0.8547 | 100 | 1.5286 | 0.6867 | 0.6602 |
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- | 1.018 | 1.7094 | 200 | 1.5094 | 0.6760 | 0.6462 |
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- | 0.9833 | 2.5641 | 300 | 1.5595 | 0.6760 | 0.6528 |
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- | 0.9406 | 3.4188 | 400 | 1.5402 | 0.6695 | 0.6514 |
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- | 0.8942 | 4.2735 | 500 | 1.4455 | 0.6845 | 0.6680 |
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  ### Framework versions
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  - Transformers 4.47.1
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  - Pytorch 2.5.1+cu121
 
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  - Tokenizers 0.21.0
 
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  # layoutlmv3_document_classification
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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: 1.4757
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+ - Accuracy: 0.6974
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+ - F1: 0.6729
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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+ | 0.9109 | 0.8547 | 100 | 1.5426 | 0.6953 | 0.6715 |
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+ | 0.8307 | 1.7094 | 200 | 1.5141 | 0.7017 | 0.6739 |
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+ | 0.7717 | 2.5641 | 300 | 1.4971 | 0.6931 | 0.6663 |
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+ | 0.669 | 3.4188 | 400 | 1.4728 | 0.6974 | 0.6824 |
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+ | 0.7127 | 4.2735 | 500 | 1.4757 | 0.6974 | 0.6729 |
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  ### Framework versions
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  - Transformers 4.47.1
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  - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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  - Tokenizers 0.21.0
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