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# layoutlmv3-finetuned-cord_100

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the cord-layoutlmv3 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0986
- eval_precision: 0.6521
- eval_recall: 0.7365
- eval_f1: 0.6917
- eval_accuracy: 0.7593
- eval_runtime: 182.1992
- eval_samples_per_second: 0.549
- eval_steps_per_second: 0.11
- epoch: 1.56
- step: 250

## 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: 1e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500

### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.2

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["cord-layoutlmv3"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-cord_100", "results": []}]}
transformers pytorch layoutlmv3 token-classification generated_from_trainer dataset:cord-layoutlmv3 base_model:microsoft/layoutlmv3-base license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us