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osuna/roberta-large-bne-sqac-finetuned-squad

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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roberta-large-bne-sqac-finetuned-squad

This model is a fine-tuned version of PlanTL-GOB-ES/roberta-large-bne-sqac on the corpusasegurador dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.3469

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: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 3

Training results

Training LossEpochStepValidation Loss
No log1.033.6907
No log2.062.7403
No log3.092.3469

Framework versions

  • —Transformers 4.31.0
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.0
  • —Tokenizers 0.13.3