variante_C_beto_docstride

This model is a fine-tuned version of Lisibonny/modelo_qa_beto_squad_es_pdqa on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.0290

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	6	2.1035
No log	2.0	12	2.0004
No log	3.0	18	2.0290

Framework versions

• Transformers 4.57.6
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2