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muhtasham/small-mlm-glue-qnli-target-glue-mrpc

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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small-mlm-glue-qnli-target-glue-mrpc

This model is a fine-tuned version of muhtasham/small-mlm-glue-qnli on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.9217
  • —Accuracy: 0.7770
  • —F1: 0.8455

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: 3e-05
  • —trainbatchsize: 32
  • —evalbatchsize: 32
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constant
  • —training_steps: 5000

Training results

Training LossEpochStepValidation LossAccuracyF1
0.39054.355000.75400.78920.8608
0.06758.710001.40120.78920.8608
0.027413.0415001.54090.77940.8454
0.018917.3920001.54640.79170.8609
0.011921.7425001.75530.77940.8505
0.017926.0930001.76600.77450.8492
0.012830.4335001.92170.77700.8455

Framework versions

  • —Transformers 4.26.0.dev0
  • —Pytorch 1.13.0+cu116
  • —Datasets 2.8.1.dev0
  • —Tokenizers 0.13.2