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--- |
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license: cc-by-nc-sa-4.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: layoutxlm-tokenclass-finetuned |
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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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# layoutxlm-tokenclass-finetuned |
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This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2039 |
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- Answer Precision: 0.9231 |
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- Answer Recall: 0.9180 |
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- Answer F1: 0.9205 |
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- Answer Number: 366 |
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- Header Precision: 0.8194 |
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- Header Recall: 0.9219 |
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- Header F1: 0.8676 |
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- Header Number: 64 |
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- Question Precision: 0.9115 |
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- Question Recall: 0.9428 |
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- Question F1: 0.9269 |
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- Question Number: 437 |
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- Overall Precision: 0.9088 |
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- Overall Recall: 0.9308 |
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- Overall F1: 0.9197 |
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- Overall Accuracy: 0.9758 |
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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: 1e-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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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 5000 |
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### Training results |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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