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update model card 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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+
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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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+
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+ # layoutlmv2-base-uncased-finetuned-infovqa
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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