
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# LayoutLMv3_5_entities_filtred_23

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: 1.0226
- Precision: 0.625
- Recall: 0.6696
- F1: 0.6466
- Accuracy: 0.8338

## 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        | 8.33  | 100  | 1.1422          | 0.34      | 0.3036 | 0.3208 | 0.7406   |
| No log        | 16.67 | 200  | 0.9707          | 0.5378    | 0.5714 | 0.5541 | 0.8010   |
| No log        | 25.0  | 300  | 0.9193          | 0.5966    | 0.6339 | 0.6147 | 0.8212   |
| No log        | 33.33 | 400  | 0.9467          | 0.6116    | 0.6607 | 0.6352 | 0.8262   |
| 0.3877        | 41.67 | 500  | 0.9490          | 0.616     | 0.6875 | 0.6498 | 0.8338   |
| 0.3877        | 50.0  | 600  | 0.9990          | 0.6610    | 0.6964 | 0.6783 | 0.8413   |
| 0.3877        | 58.33 | 700  | 1.0088          | 0.6446    | 0.6964 | 0.6695 | 0.8388   |
| 0.3877        | 66.67 | 800  | 1.0104          | 0.6098    | 0.6696 | 0.6383 | 0.8338   |
| 0.3877        | 75.0  | 900  | 1.0196          | 0.6198    | 0.6696 | 0.6438 | 0.8312   |
| 0.0192        | 83.33 | 1000 | 1.0226          | 0.625     | 0.6696 | 0.6466 | 0.8338   |


### 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_23", "results": []}]}
transformers pytorch tensorboard layoutlmv3 token-classification generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible region:us