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# layoutlmv3-finetuned-cord

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1801
- Precision: 0.9413
- Recall: 0.9506
- F1: 0.9459
- Accuracy: 0.9597

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.56  | 250  | 0.6279          | 0.8315    | 0.8214 | 0.8265 | 0.8486   |
| 0.9577        | 3.12  | 500  | 0.3578          | 0.8739    | 0.8685 | 0.8712 | 0.9046   |
| 0.9577        | 4.69  | 750  | 0.2510          | 0.9170    | 0.9240 | 0.9205 | 0.9411   |
| 0.2509        | 6.25  | 1000 | 0.2086          | 0.9317    | 0.9331 | 0.9324 | 0.9517   |
| 0.2509        | 7.81  | 1250 | 0.1964          | 0.9312    | 0.9354 | 0.9333 | 0.9517   |
| 0.133         | 9.38  | 1500 | 0.2003          | 0.9369    | 0.9369 | 0.9369 | 0.9542   |
| 0.133         | 10.94 | 1750 | 0.1885          | 0.9380    | 0.9430 | 0.9405 | 0.9550   |
| 0.0803        | 12.5  | 2000 | 0.1838          | 0.9410    | 0.9445 | 0.9427 | 0.9593   |
| 0.0803        | 14.06 | 2250 | 0.1929          | 0.9354    | 0.9460 | 0.9407 | 0.9576   |
| 0.0576        | 15.62 | 2500 | 0.1801          | 0.9413    | 0.9506 | 0.9459 | 0.9597   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-cord", "results": []}]}
transformers tensorboard safetensors layoutlmv3 token-classification generated_from_trainer base_model:microsoft/layoutlmv3-base license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us