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End of training

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  1. README.md +14 -14
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@@ -20,11 +20,11 @@ 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: 0.3848
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- - Precision: 0.8205
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  - Recall: 0.8649
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- - F1: 0.8421
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- - Accuracy: 0.8505
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  ## Model description
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@@ -55,16 +55,16 @@ 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 | 3.85 | 50 | 0.5998 | 0.7848 | 0.8378 | 0.8105 | 0.8224 |
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- | No log | 7.69 | 100 | 0.4655 | 0.8 | 0.8649 | 0.8312 | 0.8505 |
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- | No log | 11.54 | 150 | 0.4716 | 0.7949 | 0.8378 | 0.8158 | 0.8318 |
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- | No log | 15.38 | 200 | 0.4252 | 0.8354 | 0.8919 | 0.8627 | 0.8598 |
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- | No log | 19.23 | 250 | 0.4485 | 0.8 | 0.8649 | 0.8312 | 0.8411 |
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- | No log | 23.08 | 300 | 0.4121 | 0.7875 | 0.8514 | 0.8182 | 0.8318 |
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- | No log | 26.92 | 350 | 0.3892 | 0.8205 | 0.8649 | 0.8421 | 0.8505 |
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- | No log | 30.77 | 400 | 0.4003 | 0.8205 | 0.8649 | 0.8421 | 0.8505 |
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- | No log | 34.62 | 450 | 0.3827 | 0.8462 | 0.8919 | 0.8684 | 0.8785 |
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- | 0.1768 | 38.46 | 500 | 0.3848 | 0.8205 | 0.8649 | 0.8421 | 0.8505 |
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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: 0.4675
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+ - Precision: 0.8
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  - Recall: 0.8649
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+ - F1: 0.8312
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+ - Accuracy: 0.8318
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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 | 3.85 | 50 | 1.1808 | 0.7013 | 0.7297 | 0.7152 | 0.7196 |
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+ | No log | 7.69 | 100 | 0.7117 | 0.7317 | 0.8108 | 0.7692 | 0.8037 |
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+ | No log | 11.54 | 150 | 0.5580 | 0.7778 | 0.8514 | 0.8129 | 0.8224 |
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+ | No log | 15.38 | 200 | 0.5009 | 0.8228 | 0.8784 | 0.8497 | 0.8411 |
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+ | No log | 19.23 | 250 | 0.4659 | 0.8228 | 0.8784 | 0.8497 | 0.8505 |
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+ | No log | 23.08 | 300 | 0.4734 | 0.7901 | 0.8649 | 0.8258 | 0.8318 |
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+ | No log | 26.92 | 350 | 0.4496 | 0.8205 | 0.8649 | 0.8421 | 0.8318 |
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+ | No log | 30.77 | 400 | 0.4619 | 0.8 | 0.8649 | 0.8312 | 0.8318 |
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+ | No log | 34.62 | 450 | 0.4560 | 0.8125 | 0.8784 | 0.8442 | 0.8411 |
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+ | 0.3885 | 38.46 | 500 | 0.4675 | 0.8 | 0.8649 | 0.8312 | 0.8318 |
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  ### Framework versions