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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-finetuned_docvqa |
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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-finetuned_docvqa |
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This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9372 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.2741 | 0.22 | 50 | 4.5078 | |
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| 4.3688 | 0.44 | 100 | 4.2690 | |
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| 4.1035 | 0.66 | 150 | 3.7153 | |
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| 3.8461 | 0.88 | 200 | 3.6182 | |
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| 3.6142 | 1.11 | 250 | 3.4844 | |
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| 3.0794 | 1.33 | 300 | 3.2514 | |
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| 3.0315 | 1.55 | 350 | 3.3487 | |
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| 2.8165 | 1.77 | 400 | 2.7495 | |
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| 2.6306 | 1.99 | 450 | 2.8793 | |
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| 2.2232 | 2.21 | 500 | 2.5794 | |
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| 2.0693 | 2.43 | 550 | 2.7011 | |
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| 2.0821 | 2.65 | 600 | 2.4160 | |
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| 1.9505 | 2.88 | 650 | 2.2413 | |
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| 1.7037 | 3.1 | 700 | 2.3263 | |
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| 1.6657 | 3.32 | 750 | 3.0268 | |
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| 1.5721 | 3.54 | 800 | 2.8429 | |
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| 1.3987 | 3.76 | 850 | 2.3589 | |
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| 1.3469 | 3.98 | 900 | 2.6879 | |
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| 1.0572 | 4.2 | 950 | 3.0299 | |
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| 1.046 | 4.42 | 1000 | 2.7357 | |
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| 0.9208 | 4.65 | 1050 | 2.9640 | |
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| 0.9383 | 4.87 | 1100 | 2.9712 | |
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| 0.8651 | 5.09 | 1150 | 3.0117 | |
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| 0.7581 | 5.31 | 1200 | 3.1530 | |
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| 0.779 | 5.53 | 1250 | 3.0349 | |
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| 0.8105 | 5.75 | 1300 | 2.8753 | |
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| 0.705 | 5.97 | 1350 | 2.9372 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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