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# manifesti_v2

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: 0.0126
- Precision: 0.9705
- Recall: 0.9741
- F1: 0.9723
- Accuracy: 0.9979

## 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: 3000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 0.31  | 100  | 0.1051          | 0.7632    | 0.8166 | 0.7890 | 0.9774   |
| No log        | 0.61  | 200  | 0.0387          | 0.8920    | 0.8618 | 0.8766 | 0.9891   |
| No log        | 0.92  | 300  | 0.0326          | 0.8884    | 0.9243 | 0.9060 | 0.9919   |
| No log        | 1.23  | 400  | 0.0205          | 0.9181    | 0.9483 | 0.9329 | 0.9947   |
| 0.1231        | 1.53  | 500  | 0.0171          | 0.9545    | 0.9676 | 0.9610 | 0.9964   |
| 0.1231        | 1.84  | 600  | 0.0174          | 0.9476    | 0.9614 | 0.9545 | 0.9963   |
| 0.1231        | 2.15  | 700  | 0.0149          | 0.9568    | 0.9685 | 0.9626 | 0.9968   |
| 0.1231        | 2.45  | 800  | 0.0148          | 0.9640    | 0.9704 | 0.9672 | 0.9971   |
| 0.1231        | 2.76  | 900  | 0.0130          | 0.9583    | 0.9718 | 0.9650 | 0.9973   |
| 0.0113        | 3.07  | 1000 | 0.0125          | 0.9636    | 0.9718 | 0.9677 | 0.9975   |
| 0.0113        | 3.37  | 1100 | 0.0116          | 0.9783    | 0.9751 | 0.9767 | 0.9981   |
| 0.0113        | 3.68  | 1200 | 0.0134          | 0.9591    | 0.9694 | 0.9642 | 0.9972   |
| 0.0113        | 3.99  | 1300 | 0.0169          | 0.9561    | 0.9718 | 0.9639 | 0.9964   |
| 0.0113        | 4.29  | 1400 | 0.0128          | 0.9696    | 0.9732 | 0.9714 | 0.9977   |
| 0.0074        | 4.6   | 1500 | 0.0111          | 0.9770    | 0.9765 | 0.9767 | 0.9982   |
| 0.0074        | 4.91  | 1600 | 0.0129          | 0.9705    | 0.9737 | 0.9721 | 0.9976   |
| 0.0074        | 5.21  | 1700 | 0.0108          | 0.9756    | 0.9765 | 0.9760 | 0.9982   |
| 0.0074        | 5.52  | 1800 | 0.0120          | 0.9760    | 0.9765 | 0.9763 | 0.9982   |
| 0.0074        | 5.83  | 1900 | 0.0123          | 0.9691    | 0.9737 | 0.9714 | 0.9976   |
| 0.0054        | 6.13  | 2000 | 0.0129          | 0.9714    | 0.9737 | 0.9725 | 0.9977   |
| 0.0054        | 6.44  | 2100 | 0.0121          | 0.9751    | 0.9756 | 0.9753 | 0.9980   |
| 0.0054        | 6.75  | 2200 | 0.0148          | 0.9632    | 0.9723 | 0.9677 | 0.9973   |
| 0.0054        | 7.06  | 2300 | 0.0120          | 0.9733    | 0.9751 | 0.9742 | 0.9982   |
| 0.0054        | 7.36  | 2400 | 0.0125          | 0.9719    | 0.9741 | 0.9730 | 0.9979   |
| 0.0036        | 7.67  | 2500 | 0.0135          | 0.9673    | 0.9723 | 0.9698 | 0.9977   |
| 0.0036        | 7.98  | 2600 | 0.0131          | 0.9682    | 0.9732 | 0.9707 | 0.9978   |
| 0.0036        | 8.28  | 2700 | 0.0131          | 0.9691    | 0.9732 | 0.9711 | 0.9979   |
| 0.0036        | 8.59  | 2800 | 0.0129          | 0.9696    | 0.9737 | 0.9716 | 0.9979   |
| 0.0036        | 8.9   | 2900 | 0.0129          | 0.9691    | 0.9737 | 0.9714 | 0.9979   |
| 0.0035        | 9.2   | 3000 | 0.0126          | 0.9705    | 0.9741 | 0.9723 | 0.9979   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.1.0+cu121
- 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": "manifesti_v2", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "sroie", "type": "sroie", "config": "discharge", "split": "test", "args": "discharge"}, "metrics": [{"type": "precision", "value": 0.9704918032786886, "name": "Precision"}, {"type": "recall", "value": 0.9741419840150447, "name": "Recall"}, {"type": "f1", "value": 0.9723134678554669, "name": "F1"}, {"type": "accuracy", "value": 0.997914016789621, "name": "Accuracy"}]}]}]}
transformers pytorch tensorboard layoutlmv3 token-classification generated_from_trainer dataset:sroie license:cc-by-nc-sa-4.0 model-index autotrain_compatible endpoints_compatible region:us