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ricardotalavera/aak-distilroberta-base-mrpc-glue-ricardo-talavera

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

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aak-distilroberta-base-mrpc-glue-ricardo-talavera

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

  • —Loss: 15.1968
  • —Accuracy: 0.0

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 LossAccuracy
0.02530.2850012.02960.0
0.00.56100012.97870.0
0.00.84150013.56570.0
0.01.11200013.98490.0
0.01.39250014.31310.0
0.01.67300014.58080.0
0.01.95350014.80010.0
0.02.23400014.97710.0
0.02.51450015.11070.0
0.02.79500015.19680.0

Framework versions

  • —Transformers 4.27.4
  • —Pytorch 2.0.0+cu118
  • —Datasets 2.11.0
  • —Tokenizers 0.13.3