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--- |
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license: cc-by-nc-sa-4.0 |
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base_model: microsoft/layoutlmv2-large-uncased |
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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: layoutlmv2-finetuned-cord |
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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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# layoutlmv2-finetuned-cord |
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This model is a fine-tuned version of [microsoft/layoutlmv2-large-uncased](https://huggingface.co/microsoft/layoutlmv2-large-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4287 |
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- Precision: 0.5421 |
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- Recall: 0.4754 |
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- F1: 0.5066 |
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- Accuracy: 0.9272 |
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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: 8 |
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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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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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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 | 1.0 | 135 | 0.3706 | 0.4855 | 0.4816 | 0.4835 | 0.9190 | |
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| No log | 2.0 | 270 | 0.3198 | 0.5887 | 0.5102 | 0.5467 | 0.9308 | |
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| No log | 3.0 | 405 | 0.3602 | 0.5237 | 0.4529 | 0.4857 | 0.9238 | |
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| 0.323 | 4.0 | 540 | 0.3866 | 0.5251 | 0.4508 | 0.4851 | 0.9250 | |
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| 0.323 | 5.0 | 675 | 0.4287 | 0.5421 | 0.4754 | 0.5066 | 0.9272 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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