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KaQyn/peft-lora-CodeLlama-13b-flutter-copilot

sourceHugging Faceupdated 2y agoView on Hugging Face
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Model Card

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peft-lora-CodeLlama-13b-flutter-copilot

This model is a fine-tuned version of codellama/CodeLlama-13b-Instruct-hf on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3620

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: 0.0003
  • trainbatchsize: 4
  • evalbatchsize: 4
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: cosine
  • lrschedulerwarmup_ratio: 0.1
  • training_steps: 2000

Training results

Training LossEpochStepValidation Loss
0.78240.051000.4186
0.30550.12000.4164
0.44550.153000.4134
0.31480.24000.3762
0.29420.255000.3780
0.88170.36000.3760
0.49580.357000.3738
0.43880.48000.3710
0.36050.459000.3698
0.28620.510000.3673
3.47980.5511000.3687
3.30770.612000.3703
0.48470.6513000.3666
0.35930.714000.3662
0.59830.7515000.3654
0.61380.816000.3638
0.4030.8517000.3635
0.41990.918000.3632
0.35260.9519000.3621
0.4921.020000.3620

Framework versions

  • PEFT 0.10.1.dev0
  • Transformers 4.40.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2