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# bol2.0.2

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on the sroie dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3228
- Precision: 0.4216
- Recall: 0.3752
- F1: 0.3970
- Accuracy: 0.9341

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 0.95  | 100  | 0.6635          | 0.3171    | 0.0227 | 0.0423 | 0.9039   |
| No log        | 1.9   | 200  | 0.5453          | 0.1791    | 0.0209 | 0.0375 | 0.9070   |
| No log        | 2.86  | 300  | 0.4571          | 0.2032    | 0.0663 | 0.1    | 0.9143   |
| No log        | 3.81  | 400  | 0.4279          | 0.2735    | 0.1065 | 0.1533 | 0.9167   |
| 0.4702        | 4.76  | 500  | 0.3852          | 0.3       | 0.2042 | 0.2430 | 0.9246   |
| 0.4702        | 5.71  | 600  | 0.3661          | 0.3589    | 0.2775 | 0.3130 | 0.9291   |
| 0.4702        | 6.67  | 700  | 0.3511          | 0.3952    | 0.3421 | 0.3667 | 0.9310   |
| 0.4702        | 7.62  | 800  | 0.3297          | 0.4024    | 0.3560 | 0.3778 | 0.9347   |
| 0.4702        | 8.57  | 900  | 0.3239          | 0.4123    | 0.3735 | 0.3919 | 0.9342   |
| 0.1901        | 9.52  | 1000 | 0.3228          | 0.4216    | 0.3752 | 0.3970 | 0.9341   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu118
- Datasets 2.2.2
- Tokenizers 0.13.3

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["sroie"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "bol2.0.2", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "sroie", "type": "sroie", "config": "discharge", "split": "test", "args": "discharge"}, "metrics": [{"type": "precision", "value": 0.4215686274509804, "name": "Precision"}, {"type": "recall", "value": 0.37521815008726006, "name": "Recall"}, {"type": "f1", "value": 0.39704524469067404, "name": "F1"}, {"type": "accuracy", "value": 0.9340506768483166, "name": "Accuracy"}]}]}]}
transformers pytorch layoutlmv3 token-classification generated_from_trainer dataset:sroie license:cc-by-nc-sa-4.0 model-index autotrain_compatible endpoints_compatible region:us