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velaa/opt-125m-finetuned-mnli

sourceHugging Faceotherupdated 3y agoView on Hugging Face
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Model Card

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opt-125m-finetuned-mnli

This model is a fine-tuned version of facebook/opt-125m on the glue dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.7566
  • —Accuracy: 0.3552

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-06
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAccuracy
0.07261.011.78350.3536
0.11572.021.75660.3552
0.06243.031.73720.3548
0.074.041.72490.3544
0.06895.051.71890.3545

Framework versions

  • —Transformers 4.36.0.dev0
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0