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# LayoutLMv3_5_entities_filtred_24

This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutlmv3-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7415
- Precision: 0.6820
- Recall: 0.7181
- F1: 0.6996
- Accuracy: 0.8751

## 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        | 3.33  | 100  | 1.1973          | 0.4426    | 0.1189 | 0.1875 | 0.7585   |
| No log        | 6.67  | 200  | 0.9211          | 0.4819    | 0.3524 | 0.4071 | 0.7970   |
| No log        | 10.0  | 300  | 0.7163          | 0.6143    | 0.5683 | 0.5904 | 0.8483   |
| No log        | 13.33 | 400  | 0.7134          | 0.6699    | 0.6167 | 0.6422 | 0.8623   |
| 0.7797        | 16.67 | 500  | 0.7237          | 0.6447    | 0.6476 | 0.6462 | 0.8646   |
| 0.7797        | 20.0  | 600  | 0.6943          | 0.6245    | 0.6740 | 0.6483 | 0.8576   |
| 0.7797        | 23.33 | 700  | 0.7228          | 0.6540    | 0.6828 | 0.6681 | 0.8681   |
| 0.7797        | 26.67 | 800  | 0.7128          | 0.6681    | 0.7004 | 0.6839 | 0.8716   |
| 0.7797        | 30.0  | 900  | 0.7544          | 0.6853    | 0.7004 | 0.6928 | 0.8763   |
| 0.1616        | 33.33 | 1000 | 0.7415          | 0.6820    | 0.7181 | 0.6996 | 0.8751   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.13.3

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "LayoutLMv3_5_entities_filtred_24", "results": []}]}
transformers pytorch tensorboard layoutlmv3 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us