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# LayoutLMv3_5_entities_filtred_29

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: 0.4113
- Precision: 0.7431
- Recall: 0.7588
- F1: 0.7509
- Accuracy: 0.9068

## 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        | 0.71  | 100  | 1.0036          | 0.5637    | 0.2725 | 0.3673 | 0.7854   |
| No log        | 1.43  | 200  | 0.7019          | 0.7029    | 0.5348 | 0.6074 | 0.8552   |
| No log        | 2.14  | 300  | 0.5944          | 0.6383    | 0.5822 | 0.6090 | 0.8604   |
| No log        | 2.86  | 400  | 0.4790          | 0.7213    | 0.6842 | 0.7022 | 0.8939   |
| 0.825         | 3.57  | 500  | 0.4550          | 0.7287    | 0.6993 | 0.7137 | 0.8961   |
| 0.825         | 4.29  | 600  | 0.4436          | 0.7393    | 0.7124 | 0.7256 | 0.9005   |
| 0.825         | 5.0   | 700  | 0.4154          | 0.7583    | 0.7407 | 0.7494 | 0.9035   |
| 0.825         | 5.71  | 800  | 0.4202          | 0.7559    | 0.7467 | 0.7513 | 0.9071   |
| 0.825         | 6.43  | 900  | 0.4102          | 0.746     | 0.7528 | 0.7494 | 0.9085   |
| 0.2813        | 7.14  | 1000 | 0.4113          | 0.7431    | 0.7588 | 0.7509 | 0.9068   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- 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_29", "results": []}]}
transformers pytorch tensorboard layoutlmv3 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us