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README.md
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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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