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README.md
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---
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license: cc-by-nc-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-large-uncased-finetuned-vi-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-large-uncased-finetuned-vi-infovqa
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This model is a fine-tuned version of [microsoft/layoutlmv2-large-uncased](https://huggingface.co/microsoft/layoutlmv2-large-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.2383
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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: 2
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- eval_batch_size: 2
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 5.9983 | 0.83 | 500 | 6.2383 |
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| 6.2621 | 1.65 | 1000 | 6.2383 |
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| 6.2492 | 2.48 | 1500 | 6.2383 |
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| 6.2548 | 3.3 | 2000 | 6.2383 |
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| 6.2515 | 4.13 | 2500 | 6.2383 |
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| 6.2543 | 4.95 | 3000 | 6.2383 |
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| 6.2545 | 5.78 | 3500 | 6.2383 |
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| 6.247 | 6.6 | 4000 | 6.2383 |
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| 6.2499 | 7.43 | 4500 | 6.2383 |
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| 6.2434 | 8.25 | 5000 | 6.2383 |
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| 6.2416 | 9.08 | 5500 | 6.2383 |
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| 6.2425 | 9.9 | 6000 | 6.2383 |
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### Framework versions
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- Transformers 4.14.1
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- Pytorch 1.8.0+cu101
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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