update model card README.md

README.md

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+---
+license: cc-by-nc-sa-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: layoutlmv2-base-uncased-finetuned-vi-infovqa
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# layoutlmv2-base-uncased-finetuned-vi-infovqa
+
+This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3332
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 250500
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.33  | 100  | 5.3461          |
+| No log        | 0.66  | 200  | 4.9734          |
+| No log        | 0.99  | 300  | 4.6074          |
+| No log        | 1.32  | 400  | 4.4548          |
+| 4.6355        | 1.65  | 500  | 4.3831          |
+| 4.6355        | 1.98  | 600  | 4.3332          |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.8.0+cu101
+- Datasets 1.17.0
+- Tokenizers 0.10.3