File size: 1,316 Bytes
c3dc7b3 0979003 c3dc7b3 537b874 c3dc7b3 0979003 c3dc7b3 0979003 c3dc7b3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
license: cc-by-nc-sa-4.0
tags:
- generated_from_trainer
datasets:
- nielsr/XFUN
metrics:
- precision
- recall
- f1
inference: false
base_model: microsoft/layoutxlm-base
model-index:
- name: layoutxlm-finetuned-xfund-fr-re
results: []
---
# layoutxlm-finetuned-xfund-fr-re
This model is a fine-tuned version of [microsoft/layoutxlm-base](https://huggingface.co/microsoft/layoutxlm-base) on the [XFUND](https://github.com/doc-analysis/XFUND) dataset (French split).
It achieves the following results on the evaluation set:
- Precision: 0.4533
- Recall: 0.7475
- F1: 0.5644
- Loss: 0.1609
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
This checkpoint used the French portion of the multilingual [XFUND](https://github.com/doc-analysis/XFUND) dataset.
## 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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 5000
### Training results
### Framework versions
- Transformers 4.23.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1
|