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# passive_invoices_v3.10

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: 0.1259
- Precision: 0.8309
- Recall: 0.8651
- F1: 0.8477
- Accuracy: 0.9711

## 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: 9000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| 0.9658        | 0.4   | 500  | 0.7754          | 0.2583    | 0.1620 | 0.1991 | 0.7941   |
| 0.4535        | 0.8   | 1000 | 0.4957          | 0.4932    | 0.4575 | 0.4747 | 0.8708   |
| 0.2779        | 1.2   | 1500 | 0.3565          | 0.5947    | 0.5786 | 0.5866 | 0.9082   |
| 0.1955        | 1.59  | 2000 | 0.2697          | 0.6560    | 0.6661 | 0.6610 | 0.9283   |
| 0.1392        | 1.99  | 2500 | 0.2174          | 0.7057    | 0.7088 | 0.7072 | 0.9422   |
| 0.1181        | 2.39  | 3000 | 0.2107          | 0.7003    | 0.7510 | 0.7248 | 0.9451   |
| 0.1004        | 2.79  | 3500 | 0.1816          | 0.7388    | 0.7760 | 0.7569 | 0.9538   |
| 0.0919        | 3.19  | 4000 | 0.1739          | 0.7576    | 0.8016 | 0.7790 | 0.9546   |
| 0.0769        | 3.59  | 4500 | 0.1524          | 0.7939    | 0.8212 | 0.8073 | 0.9628   |
| 0.0718        | 3.99  | 5000 | 0.1434          | 0.8031    | 0.8236 | 0.8132 | 0.9646   |
| 0.0582        | 4.39  | 5500 | 0.1514          | 0.7903    | 0.8315 | 0.8104 | 0.9631   |
| 0.0617        | 4.78  | 6000 | 0.1365          | 0.8106    | 0.8472 | 0.8285 | 0.9668   |
| 0.0513        | 5.18  | 6500 | 0.1394          | 0.8134    | 0.8412 | 0.8271 | 0.9673   |
| 0.0469        | 5.58  | 7000 | 0.1346          | 0.8138    | 0.8524 | 0.8326 | 0.9684   |
| 0.0478        | 5.98  | 7500 | 0.1325          | 0.8259    | 0.8579 | 0.8416 | 0.9693   |
| 0.0395        | 6.38  | 8000 | 0.1273          | 0.8307    | 0.8622 | 0.8461 | 0.9704   |
| 0.0457        | 6.78  | 8500 | 0.1267          | 0.8302    | 0.8643 | 0.8469 | 0.9712   |
| 0.0377        | 7.18  | 9000 | 0.1259          | 0.8309    | 0.8651 | 0.8477 | 0.9711   |


### 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": "passive_invoices_v3.10", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "sroie", "type": "sroie", "config": "discharge", "split": "test", "args": "discharge"}, "metrics": [{"type": "precision", "value": 0.8308743593725734, "name": "Precision"}, {"type": "recall", "value": 0.8651358344113842, "name": "Recall"}, {"type": "f1", "value": 0.8476590350946683, "name": "F1"}, {"type": "accuracy", "value": 0.9711116246822279, "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