lilt-finetuned-xfund-fr-zh-re
This model is a fine-tuned version of kavg/layoutxlm-finetuned-xfund-fr-re on the xfun dataset. It achieves the following results on the evaluation set:
- Precision: 0.4758
- Recall: 0.7556
- F1: 0.5839
- Loss: 0.1833
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
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 5000
Training results
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3