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--- |
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license: cc-by-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: layoutlmv2-base-uncased-finetuned-infovqa |
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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-infovqa |
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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: 2.0870 |
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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: 4 |
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- seed: 250500 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.8677 | 0.16 | 500 | 3.2829 | |
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| 3.0395 | 0.33 | 1000 | 2.8431 | |
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| 2.561 | 0.49 | 1500 | 2.5633 | |
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| 2.41 | 0.65 | 2000 | 2.3548 | |
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| 2.247 | 0.82 | 2500 | 2.2983 | |
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| 2.1538 | 0.98 | 3000 | 2.2059 | |
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| 1.7 | 1.14 | 3500 | 2.2006 | |
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| 1.5705 | 1.31 | 4000 | 2.2736 | |
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| 1.604 | 1.47 | 4500 | 2.1415 | |
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| 1.5509 | 1.63 | 5000 | 2.0853 | |
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| 1.5053 | 1.79 | 5500 | 2.1389 | |
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| 1.4787 | 1.96 | 6000 | 2.0870 | |
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### Framework versions |
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- Transformers 4.12.2 |
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- Pytorch 1.8.0+cu101 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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