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AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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codebertbasePEFTLORA-finetuned-the-stack-bash

This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 5.6253

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: 1
  • evalbatchsize: 1
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_steps: 100
  • training_steps: 10000

Training results

Training LossEpochStepValidation Loss
8.00710.055007.3041
6.72380.110006.7353
6.04850.1515006.4389
7.59910.220006.1635
7.05240.2525006.0566
6.40770.330005.9759
6.25790.3535005.9255
6.22360.440005.9026
6.65120.4545005.7760
6.09080.550005.7303
6.34440.5555005.6846
7.0970.660005.7699
5.97960.6565005.6752
5.26630.770005.7492
6.0650.7575005.6354
6.53330.880005.6294
6.19950.8585005.6278
6.01090.990005.6193
5.82040.9595005.6142
6.75581.0100005.6253

Framework versions

  • PEFT 0.7.2.dev0
  • Transformers 4.37.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0