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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
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