---
license: cc-by-nc-sa-4.0
base_model: microsoft/layoutxlm-base
tags:
- generated_from_trainer
model-index:
- name: Layout-finetuned-fr-model-100instancesV1
  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-100instancesV1

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: 0.0001

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7885        | 0.4   | 10   | 0.9847          |
| 0.3999        | 0.8   | 20   | 0.0030          |
| 0.0031        | 1.2   | 30   | 0.0004          |
| 0.0009        | 1.6   | 40   | 0.0002          |
| 0.0004        | 2.0   | 50   | 0.0002          |
| 0.0004        | 2.4   | 60   | 0.0001          |
| 0.0003        | 2.8   | 70   | 0.0001          |
| 0.0003        | 3.2   | 80   | 0.0001          |
| 0.0003        | 3.6   | 90   | 0.0001          |
| 0.0003        | 4.0   | 100  | 0.0001          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.4.1.post100
- Datasets 3.2.0
- Tokenizers 0.15.2