layoutxlm-finetuned-xfund-es

-> This model is a fine-tuned version of microsoft/layoutxlm-base on the xfun dataset.

-> Este modelo es una versión de microsoft/layoutxlm-base con ajuste fino sobre xfun-es dataset (español).

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: 2500

Training results

Train output:

• global_step=2500
• training_loss=0.3006648193359375
• train_runtime: 3385.7522
• train_samples_per_second: 1.477
• train_steps_per_second: 0.738
• total_flos: 2688500014387200.0
• train_loss: 0.3006648193359375
• epoch: 20.49

Framework versions

• Transformers 4.26.0
• Pytorch 1.10.0+cu111
• Datasets 2.9.0
• Tokenizers 0.13.2