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# LayoutLMv3_5_entities_filtred_19

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: 1.2145
- Precision: 0.4286
- Recall: 0.375
- F1: 0.4000
- Accuracy: 0.8723

## 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        | 12.5  | 100  | 0.5901          | 0.3548    | 0.3438 | 0.3492 | 0.8613   |
| No log        | 25.0  | 200  | 0.8128          | 0.4       | 0.3125 | 0.3509 | 0.8723   |
| No log        | 37.5  | 300  | 0.8948          | 0.4545    | 0.4688 | 0.4615 | 0.8796   |
| No log        | 50.0  | 400  | 1.0959          | 0.3478    | 0.25   | 0.2909 | 0.8650   |
| 0.128         | 62.5  | 500  | 1.0530          | 0.3333    | 0.3438 | 0.3385 | 0.8577   |
| 0.128         | 75.0  | 600  | 1.1182          | 0.3548    | 0.3438 | 0.3492 | 0.8577   |
| 0.128         | 87.5  | 700  | 1.1224          | 0.3667    | 0.3438 | 0.3548 | 0.8613   |
| 0.128         | 100.0 | 800  | 1.0522          | 0.4815    | 0.4062 | 0.4407 | 0.8759   |
| 0.128         | 112.5 | 900  | 1.1183          | 0.3939    | 0.4062 | 0.4    | 0.8686   |
| 0.0015        | 125.0 | 1000 | 1.1315          | 0.4444    | 0.375  | 0.4068 | 0.8723   |
| 0.0015        | 137.5 | 1100 | 1.1583          | 0.3929    | 0.3438 | 0.3667 | 0.8686   |
| 0.0015        | 150.0 | 1200 | 1.1763          | 0.3929    | 0.3438 | 0.3667 | 0.8686   |
| 0.0015        | 162.5 | 1300 | 1.1813          | 0.3929    | 0.3438 | 0.3667 | 0.8686   |
| 0.0015        | 175.0 | 1400 | 1.1901          | 0.4286    | 0.375  | 0.4000 | 0.8723   |
| 0.0004        | 187.5 | 1500 | 1.1988          | 0.3929    | 0.3438 | 0.3667 | 0.8686   |
| 0.0004        | 200.0 | 1600 | 1.2088          | 0.3929    | 0.3438 | 0.3667 | 0.8686   |
| 0.0004        | 212.5 | 1700 | 1.2103          | 0.4286    | 0.375  | 0.4000 | 0.8723   |
| 0.0004        | 225.0 | 1800 | 1.2127          | 0.4286    | 0.375  | 0.4000 | 0.8723   |
| 0.0004        | 237.5 | 1900 | 1.2142          | 0.4286    | 0.375  | 0.4000 | 0.8723   |
| 0.0003        | 250.0 | 2000 | 1.2145          | 0.4286    | 0.375  | 0.4000 | 0.8723   |


### 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_19", "results": []}]}
transformers pytorch tensorboard layoutlmv3 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us