modelo_qa_beto_squad_es_pdqa

This model is a fine-tuned version of lisibonny/modelo_qa_beto_squad_es on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8463

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.904	1.0	4	1.1193
1.1544	2.0	8	0.9157
0.7543	3.0	12	0.8581
0.6753	4.0	16	0.8463

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cu121
• Datasets 2.14.5
• Tokenizers 0.15.1