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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-docvqa
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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-docvqa
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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: 1.1940
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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: 8
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+ - eval_batch_size: 8
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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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+ | 1.463 | 0.27 | 1000 | 1.6272 |
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+ | 0.9447 | 0.53 | 2000 | 1.3646 |
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+ | 0.7725 | 0.8 | 3000 | 1.2560 |
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+ | 0.5762 | 1.06 | 4000 | 1.3582 |
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+ | 0.4382 | 1.33 | 5000 | 1.2490 |
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+ | 0.4515 | 1.59 | 6000 | 1.1860 |
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+ | 0.383 | 1.86 | 7000 | 1.1940 |
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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