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# LayoutLMv3_5_entities_filtred_18

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: 0.0000
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 1.0

## 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: 2000

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log        | 8.33   | 100  | 0.0003          | 0.0       | 0.0    | 0.0 | 1.0      |
| No log        | 16.67  | 200  | 0.0001          | 0.0       | 0.0    | 0.0 | 1.0      |
| No log        | 25.0   | 300  | 0.0001          | 0.0       | 0.0    | 0.0 | 1.0      |
| No log        | 33.33  | 400  | 0.0001          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0249        | 41.67  | 500  | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0249        | 50.0   | 600  | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0249        | 58.33  | 700  | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0249        | 66.67  | 800  | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0249        | 75.0   | 900  | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0001        | 83.33  | 1000 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0001        | 91.67  | 1100 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0001        | 100.0  | 1200 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0001        | 108.33 | 1300 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0001        | 116.67 | 1400 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0           | 125.0  | 1500 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0           | 133.33 | 1600 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0           | 141.67 | 1700 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0           | 150.0  | 1800 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0           | 158.33 | 1900 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |
| 0.0           | 166.67 | 2000 | 0.0000          | 0.0       | 0.0    | 0.0 | 1.0      |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- 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_18", "results": []}]}
transformers pytorch tensorboard layoutlmv3 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us