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# test

This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5322
- Precision: 0.7710
- Recall: 0.7361
- F1: 0.7532
- Accuracy: 0.8624

## 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        | 0.2   | 100  | 1.4387          | 0.6105    | 0.2494 | 0.3541 | 0.6448   |
| No log        | 0.4   | 200  | 1.0256          | 0.6378    | 0.4537 | 0.5302 | 0.7419   |
| No log        | 0.6   | 300  | 0.8453          | 0.7574    | 0.5487 | 0.6363 | 0.7929   |
| No log        | 0.8   | 400  | 0.7338          | 0.7196    | 0.6249 | 0.6689 | 0.8155   |
| 1.1974        | 1.0   | 500  | 0.6644          | 0.7212    | 0.6692 | 0.6942 | 0.8301   |
| 1.1974        | 1.2   | 600  | 0.6102          | 0.7596    | 0.6895 | 0.7229 | 0.8433   |
| 1.1974        | 1.4   | 700  | 0.5764          | 0.7626    | 0.7085 | 0.7346 | 0.8524   |
| 1.1974        | 1.6   | 800  | 0.5557          | 0.7551    | 0.7290 | 0.7418 | 0.8561   |
| 1.1974        | 1.8   | 900  | 0.5410          | 0.7599    | 0.7363 | 0.7479 | 0.8594   |
| 0.6073        | 2.0   | 1000 | 0.5322          | 0.7710    | 0.7361 | 0.7532 | 0.8624   |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "test", "results": []}]}
transformers tensorboard safetensors layoutlmv3 token-classification generated_from_trainer base_model:microsoft/layoutlmv3-base license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us