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--- |
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license: cc-by-nc-sa-4.0 |
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base_model: microsoft/layoutlmv3-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: track_traininglogs2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# track_traininglogs2 |
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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: 0.3388 |
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- Precision: 0.8871 |
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- Recall: 0.8800 |
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- F1: 0.8835 |
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- Accuracy: 0.9465 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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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- num_epochs: 10 |
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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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| 0.6119 | 1.0 | 684 | 0.2890 | 0.8515 | 0.7911 | 0.8202 | 0.9172 | |
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| 0.2969 | 2.0 | 1368 | 0.2478 | 0.8720 | 0.8279 | 0.8494 | 0.9302 | |
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| 0.1876 | 3.0 | 2052 | 0.2418 | 0.8354 | 0.8737 | 0.8541 | 0.9332 | |
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| 0.1476 | 4.0 | 2736 | 0.2480 | 0.8697 | 0.8620 | 0.8658 | 0.9378 | |
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| 0.1302 | 5.0 | 3420 | 0.2707 | 0.8692 | 0.8697 | 0.8694 | 0.9405 | |
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| 0.0798 | 6.0 | 4104 | 0.2641 | 0.8755 | 0.8798 | 0.8776 | 0.9434 | |
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| 0.0642 | 7.0 | 4788 | 0.2694 | 0.8897 | 0.8661 | 0.8777 | 0.9449 | |
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| 0.0502 | 8.0 | 5472 | 0.3050 | 0.8878 | 0.8741 | 0.8809 | 0.9462 | |
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| 0.0267 | 9.0 | 6156 | 0.3379 | 0.8888 | 0.8750 | 0.8818 | 0.9453 | |
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| 0.0273 | 10.0 | 6840 | 0.3388 | 0.8871 | 0.8800 | 0.8835 | 0.9465 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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