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--- |
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license: cc-by-nc-sa-4.0 |
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base_model: microsoft/layoutlmv2-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: layoutlmv2-base-uncased_finetuned_passport |
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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-base-uncased_finetuned_passport |
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This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9620 |
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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: 4 |
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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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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.409 | 2.78 | 50 | 2.3859 | |
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| 1.959 | 5.56 | 100 | 2.1196 | |
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| 1.5433 | 8.33 | 150 | 1.7951 | |
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| 1.1748 | 11.11 | 200 | 1.5172 | |
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| 0.87 | 13.89 | 250 | 1.3040 | |
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| 0.6342 | 16.67 | 300 | 1.1525 | |
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| 0.4597 | 19.44 | 350 | 1.0532 | |
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| 0.3338 | 22.22 | 400 | 0.9942 | |
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| 0.2429 | 25.0 | 450 | 0.9632 | |
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| 0.1786 | 27.78 | 500 | 0.9509 | |
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| 0.1347 | 30.56 | 550 | 0.9486 | |
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| 0.143 | 33.33 | 600 | 0.9500 | |
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| 0.0976 | 36.11 | 650 | 0.9527 | |
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| 0.0874 | 38.89 | 700 | 0.9556 | |
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| 0.0808 | 41.67 | 750 | 0.9582 | |
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| 0.0746 | 44.44 | 800 | 0.9603 | |
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| 0.073 | 47.22 | 850 | 0.9615 | |
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| 0.0717 | 50.0 | 900 | 0.9620 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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