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Lisibonny/modelo_qa_beto_squad_es_pdqa

sourceHugging Faceupdated 2mo agoView on Hugging Face
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Model Card

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modeloqabetosquades_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
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 4

Training results

Training LossEpochStepValidation Loss
1.9041.041.1193
1.15442.080.9157
0.75433.0120.8581
0.67534.0160.8463

Framework versions

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

Evaluación oficial del baseline

El modelo fue evaluado sobre la división validation del dataset `Lisibonny/pdqa`.

MétricaResultado
Exact Match60.00
F175.84
Ejemplos evaluados15

Configuración de evaluación