Team Ai
Modelpublic

AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash

sourceHugging Faceupdated 3y agoView on Hugging Face
0likes9downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

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