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yamiletzii/NLPmodelo

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

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NLPmodelo

This model is a fine-tuned version of distilroberta-base on the glue dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.6317
  • —Accuracy: 0.8333
  • —F1: 0.8764

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: 5e-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 LossAccuracyF1
0.50221.095000.42580.83820.8809
0.33472.1810000.63170.83330.8764

Framework versions

  • —Transformers 4.28.1
  • —Pytorch 2.0.1+cu118
  • —Datasets 2.14.5
  • —Tokenizers 0.13.3