---
library_name: transformers
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutxlm-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU
  results: []
---

<!-- 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. -->

# Layout-finetuned-fr-model-107instances107-150epochs-5e-05lr-GPU

This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- Learning Rate: 1e-05

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 150

### Training results

| Training Loss | Epoch    | Step | Validation Loss | Accuracy | Learning Rate |
|:-------------:|:--------:|:----:|:---------------:|:--------:|:-------------:|
| 0.0236        | 3.7037   | 100  | 0.0071          | 0.9953   | 5e-05         |
| 0.0547        | 7.4074   | 200  | 0.1518          | 0.9813   | 5e-05         |
| 0.1261        | 11.1111  | 300  | 0.0840          | 0.9860   | 5e-05         |
| 0.1562        | 14.8148  | 400  | 0.1556          | 0.9860   | 5e-05         |
| 0.0973        | 18.5185  | 500  | 0.0426          | 0.9907   | 5e-05         |
| 0.0273        | 22.2222  | 600  | 0.0005          | 1.0      | 5e-05         |
| 0.0709        | 25.9259  | 700  | 0.0258          | 0.9860   | 5e-05         |
| 0.072         | 29.6296  | 800  | 0.0071          | 0.9953   | 5e-05         |
| 0.079         | 33.3333  | 900  | 0.0000          | 1.0      | 5e-05         |
| 0.0147        | 37.0370  | 1000 | 0.0001          | 1.0      | 5e-05         |
| 0.0182        | 40.7407  | 1100 | 0.0000          | 1.0      | 5e-05         |
| 0.0363        | 44.4444  | 1200 | 0.0000          | 1.0      | 5e-05         |
| 0.0116        | 48.1481  | 1300 | 0.0000          | 1.0      | 5e-05         |
| 0.0101        | 51.8519  | 1400 | 0.0001          | 1.0      | 5e-05         |
| 0.0454        | 55.5556  | 1500 | 0.0280          | 0.9953   | 5e-05         |
| 0.1           | 59.2593  | 1600 | 0.0036          | 1.0      | 5e-05         |
| 0.0875        | 62.9630  | 1700 | 0.0726          | 0.9907   | 5e-05         |
| 0.165         | 66.6667  | 1800 | 0.0081          | 0.9953   | 5e-05         |
| 0.0136        | 70.3704  | 1900 | 0.0636          | 0.9907   | 5e-05         |
| 0.0541        | 74.0741  | 2000 | 0.0036          | 1.0      | 5e-05         |
| 0.0202        | 77.7778  | 2100 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 81.4815  | 2200 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 85.1852  | 2300 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 88.8889  | 2400 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 92.5926  | 2500 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 96.2963  | 2600 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 100.0    | 2700 | 0.0000          | 1.0      | 1e-05         |
| 0.0002        | 103.7037 | 2800 | 0.0000          | 1.0      | 1e-05         |
| 0.0001        | 107.4074 | 2900 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 111.1111 | 3000 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 114.8148 | 3100 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 118.5185 | 3200 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 122.2222 | 3300 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 125.9259 | 3400 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 129.6296 | 3500 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 133.3333 | 3600 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 137.0370 | 3700 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 140.7407 | 3800 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 144.4444 | 3900 | 0.0000          | 1.0      | 1e-05         |
| 0.0           | 148.1481 | 4000 | 0.0000          | 1.0      | 1e-05         |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.3.1.post300
- Datasets 3.2.0
- Tokenizers 0.21.0