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+---
+license: cc-by-sa-4.0
+tags:
+- generated_from_trainer
+model-index:
+- name: layoutlmv2-base-uncased-finetuned-docvqa
+  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-docvqa
+
+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: 1.1940
+
+## 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: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.463         | 0.27  | 1000 | 1.6272          |
+| 0.9447        | 0.53  | 2000 | 1.3646          |
+| 0.7725        | 0.8   | 3000 | 1.2560          |
+| 0.5762        | 1.06  | 4000 | 1.3582          |
+| 0.4382        | 1.33  | 5000 | 1.2490          |
+| 0.4515        | 1.59  | 6000 | 1.1860          |
+| 0.383         | 1.86  | 7000 | 1.1940          |
+
+
+### Framework versions
+
+- Transformers 4.12.2
+- Pytorch 1.8.0+cu101
+- Datasets 1.14.0
+- Tokenizers 0.10.3