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jeanlucmarsh/opt-125m-pattern-based_finetuning_with_lora-mnli-d3_fs3

sourceHugging Faceotherupdated 3y agoView on Hugging Face
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Model Card

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opt-125m-pattern-basedfinetuningwithlora-mnli-d3fs3

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: 0.7557
  • —Accuracy: 0.5166

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
0.63171.010.75570.5166
0.71582.020.75570.5166
0.62843.030.75570.5166
0.66194.040.75570.5166
0.67045.050.75570.5166

Framework versions

  • —PEFT 0.7.1.dev0
  • —Transformers 4.36.0.dev0
  • —Pytorch 2.1.0+cu118
  • —Datasets 2.15.0
  • —Tokenizers 0.15.0