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layoutlmv3-finetuned-funsd

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update model card README.md

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@@ -19,11 +19,11 @@ 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: 0.6016
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- - Precision: 0.8712
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  - Recall: 0.903
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- - F1: 0.8868
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- - Accuracy: 0.8414
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  ## Model description
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@@ -48,28 +48,24 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - training_steps: 400
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.67 | 25 | 1.1945 | 0.4801 | 0.5295 | 0.5036 | 0.6659 |
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- | No log | 3.33 | 50 | 0.7770 | 0.7472 | 0.807 | 0.7760 | 0.7687 |
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- | No log | 5.0 | 75 | 0.5990 | 0.7965 | 0.8515 | 0.8231 | 0.8119 |
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- | No log | 6.67 | 100 | 0.6814 | 0.8061 | 0.879 | 0.8409 | 0.7702 |
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- | No log | 8.33 | 125 | 0.5392 | 0.8172 | 0.8785 | 0.8467 | 0.8316 |
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- | No log | 10.0 | 150 | 0.5438 | 0.8352 | 0.887 | 0.8603 | 0.8114 |
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- | No log | 11.67 | 175 | 0.5430 | 0.8586 | 0.8925 | 0.8752 | 0.8382 |
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- | No log | 13.33 | 200 | 0.5897 | 0.8521 | 0.887 | 0.8692 | 0.8258 |
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- | No log | 15.0 | 225 | 0.5427 | 0.86 | 0.903 | 0.8810 | 0.8430 |
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- | No log | 16.67 | 250 | 0.5542 | 0.8713 | 0.8935 | 0.8823 | 0.8411 |
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- | No log | 18.33 | 275 | 0.6014 | 0.8632 | 0.902 | 0.8822 | 0.8321 |
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- | No log | 20.0 | 300 | 0.5971 | 0.8691 | 0.9 | 0.8843 | 0.8366 |
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- | No log | 21.67 | 325 | 0.5983 | 0.8800 | 0.8985 | 0.8892 | 0.8313 |
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- | No log | 23.33 | 350 | 0.5867 | 0.8842 | 0.909 | 0.8964 | 0.8414 |
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- | No log | 25.0 | 375 | 0.5948 | 0.8797 | 0.9065 | 0.8929 | 0.8466 |
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- | No log | 26.67 | 400 | 0.6016 | 0.8712 | 0.903 | 0.8868 | 0.8414 |
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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: 0.5469
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+ - Precision: 0.8633
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  - Recall: 0.903
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+ - F1: 0.8827
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+ - Accuracy: 0.8435
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - training_steps: 300
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.67 | 25 | 1.2106 | 0.4708 | 0.5275 | 0.4975 | 0.6554 |
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+ | No log | 3.33 | 50 | 0.7854 | 0.7498 | 0.8075 | 0.7776 | 0.7687 |
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+ | No log | 5.0 | 75 | 0.6002 | 0.7932 | 0.8455 | 0.8185 | 0.8142 |
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+ | No log | 6.67 | 100 | 0.6523 | 0.7849 | 0.876 | 0.8280 | 0.7781 |
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+ | No log | 8.33 | 125 | 0.5190 | 0.8152 | 0.8755 | 0.8443 | 0.8354 |
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+ | No log | 10.0 | 150 | 0.5064 | 0.8315 | 0.888 | 0.8588 | 0.8338 |
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+ | No log | 11.67 | 175 | 0.5342 | 0.8482 | 0.8915 | 0.8693 | 0.8344 |
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+ | No log | 13.33 | 200 | 0.5538 | 0.8492 | 0.8925 | 0.8703 | 0.8201 |
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+ | No log | 15.0 | 225 | 0.5336 | 0.8557 | 0.901 | 0.8777 | 0.8349 |
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+ | No log | 16.67 | 250 | 0.5465 | 0.8564 | 0.8975 | 0.8765 | 0.8385 |
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+ | No log | 18.33 | 275 | 0.5403 | 0.8580 | 0.9005 | 0.8788 | 0.8439 |
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+ | No log | 20.0 | 300 | 0.5469 | 0.8633 | 0.903 | 0.8827 | 0.8435 |
 
 
 
 
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  ### Framework versions