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# LayoutLMv3_5_entities_filtred_20

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: 0.0001
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- 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        | 14.29  | 100  | 0.0032          | 1.0       | 1.0    | 1.0 | 1.0      |
| No log        | 28.57  | 200  | 0.0008          | 1.0       | 1.0    | 1.0 | 1.0      |
| No log        | 42.86  | 300  | 0.0005          | 1.0       | 1.0    | 1.0 | 1.0      |
| No log        | 57.14  | 400  | 0.0003          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0474        | 71.43  | 500  | 0.0002          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0474        | 85.71  | 600  | 0.0002          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0474        | 100.0  | 700  | 0.0002          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0474        | 114.29 | 800  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0474        | 128.57 | 900  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0004        | 142.86 | 1000 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0004        | 157.14 | 1100 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0004        | 171.43 | 1200 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0004        | 185.71 | 1300 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0004        | 200.0  | 1400 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0002        | 214.29 | 1500 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0002        | 228.57 | 1600 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0002        | 242.86 | 1700 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0002        | 257.14 | 1800 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0002        | 271.43 | 1900 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
| 0.0002        | 285.71 | 2000 | 0.0001          | 1.0       | 1.0    | 1.0 | 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_20", "results": []}]}
transformers pytorch tensorboard layoutlmv3 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us