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---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
base_model: microsoft/layoutlmv2-base-uncased
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
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