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Token Classification
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Safetensors
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End of training

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  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # test
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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: 0.5892
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- - Precision: 0.9073
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- - Recall: 0.9240
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- - F1: 0.9156
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- - Accuracy: 0.8690
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  ## Model description
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@@ -55,21 +55,21 @@ 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 | 1.33 | 100 | 0.5784 | 0.7726 | 0.8455 | 0.8074 | 0.8067 |
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- | No log | 2.67 | 200 | 0.4754 | 0.8436 | 0.8818 | 0.8623 | 0.8483 |
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- | No log | 4.0 | 300 | 0.4297 | 0.8572 | 0.9036 | 0.8798 | 0.8574 |
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- | No log | 5.33 | 400 | 0.5095 | 0.8676 | 0.9016 | 0.8843 | 0.8370 |
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- | 0.526 | 6.67 | 500 | 0.5301 | 0.8785 | 0.9051 | 0.8916 | 0.8533 |
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- | 0.526 | 8.0 | 600 | 0.5517 | 0.8849 | 0.8937 | 0.8893 | 0.8431 |
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- | 0.526 | 9.33 | 700 | 0.6011 | 0.8853 | 0.9086 | 0.8968 | 0.8556 |
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- | 0.526 | 10.67 | 800 | 0.5435 | 0.8989 | 0.9230 | 0.9108 | 0.8682 |
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- | 0.526 | 12.0 | 900 | 0.5980 | 0.9078 | 0.9240 | 0.9158 | 0.8676 |
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- | 0.1221 | 13.33 | 1000 | 0.5892 | 0.9073 | 0.9240 | 0.9156 | 0.8690 |
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  ### Framework versions
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- - Transformers 4.38.0.dev0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.17.1
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  - Tokenizers 0.15.2
 
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  # test
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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: 0.6095
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+ - Precision: 0.8462
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+ - Recall: 0.6875
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+ - F1: 0.7586
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+ - Accuracy: 0.8551
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 50.0 | 100 | 0.7047 | 0.7344 | 0.5875 | 0.6528 | 0.8188 |
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+ | No log | 100.0 | 200 | 0.5398 | 0.7910 | 0.6625 | 0.7211 | 0.8551 |
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+ | No log | 150.0 | 300 | 0.4558 | 0.8986 | 0.775 | 0.8322 | 0.9130 |
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+ | No log | 200.0 | 400 | 0.5069 | 0.8824 | 0.75 | 0.8108 | 0.8986 |
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+ | 0.2856 | 250.0 | 500 | 0.5315 | 0.8824 | 0.75 | 0.8108 | 0.8913 |
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+ | 0.2856 | 300.0 | 600 | 0.5798 | 0.8507 | 0.7125 | 0.7755 | 0.8696 |
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+ | 0.2856 | 350.0 | 700 | 0.6103 | 0.8594 | 0.6875 | 0.7639 | 0.8551 |
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+ | 0.2856 | 400.0 | 800 | 0.6067 | 0.8358 | 0.7 | 0.7619 | 0.8623 |
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+ | 0.2856 | 450.0 | 900 | 0.5996 | 0.8358 | 0.7 | 0.7619 | 0.8623 |
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+ | 0.0136 | 500.0 | 1000 | 0.6095 | 0.8462 | 0.6875 | 0.7586 | 0.8551 |
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  ### Framework versions
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+ - Transformers 4.39.0.dev0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.17.1
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  - Tokenizers 0.15.2
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