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# LayoutLMv3_5_entities_filtred_28

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: 0.4741
- Precision: 0.7687
- Recall: 0.7578
- F1: 0.7632
- Accuracy: 0.8952

## 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        | 1.14  | 100  | 1.0872          | 0.5252    | 0.2365 | 0.3262 | 0.7533   |
| No log        | 2.27  | 200  | 0.7878          | 0.6234    | 0.4901 | 0.5488 | 0.8279   |
| No log        | 3.41  | 300  | 0.6203          | 0.6555    | 0.6091 | 0.6314 | 0.8564   |
| No log        | 4.55  | 400  | 0.5551          | 0.6928    | 0.6771 | 0.6848 | 0.8706   |
| 0.8634        | 5.68  | 500  | 0.5183          | 0.7226    | 0.6898 | 0.7058 | 0.8758   |
| 0.8634        | 6.82  | 600  | 0.5000          | 0.7386    | 0.7323 | 0.7354 | 0.8849   |
| 0.8634        | 7.95  | 700  | 0.4561          | 0.7518    | 0.7422 | 0.7470 | 0.8922   |
| 0.8634        | 9.09  | 800  | 0.4499          | 0.7697    | 0.7620 | 0.7658 | 0.8995   |
| 0.8634        | 10.23 | 900  | 0.4759          | 0.7629    | 0.7521 | 0.7575 | 0.8956   |
| 0.2807        | 11.36 | 1000 | 0.4741          | 0.7687    | 0.7578 | 0.7632 | 0.8952   |


### 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_28", "results": []}]}
transformers pytorch tensorboard layoutlmv3 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us