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# 20231114_DocVQA_layoutlm2_full_dataset_50k_5_epochs

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: 0.6737

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7512        | 1.0   | 1261 | 0.8101          |
| 0.5314        | 2.0   | 2522 | 0.6737          |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "base_model": "microsoft/layoutlmv2-base-uncased", "model-index": [{"name": "20231114_DocVQA_layoutlm2_full_dataset_50k_5_epochs", "results": []}]}
transformers safetensors layoutlmv2 document-question-answering generated_from_trainer base_model:microsoft/layoutlmv2-base-uncased license:cc-by-nc-sa-4.0 endpoints_compatible region:us