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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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datasets: |
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- xfun |
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model-index: |
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- name: layoutxlm-finetuned-xfund-es |
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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-finetuned-xfund-es |
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-> This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on the xfun dataset. |
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-> Este modelo es una versión de [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) con ajuste fino sobre xfun-es dataset (español). |
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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: 2500 |
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### Training results |
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Train output: |
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- global_step=2500 |
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- training_loss=0.3006648193359375 |
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- train_runtime: 3385.7522 |
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- train_samples_per_second: 1.477 |
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- train_steps_per_second: 0.738 |
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- total_flos: 2688500014387200.0 |
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- train_loss: 0.3006648193359375 |
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- epoch: 20.49 |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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