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BohdanPetryshyn/codellama-7b-openapi-completion-ctx-lvl-fim-no-spm

sourceHugging Facellama2updated 2y agoView on Hugging Face
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codellama-7b-openapi-completion-ctx-lvl-fim-no-spm

This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.5037

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: 0.0002
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 32
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.05
  • —training_steps: 1000

Training results

Training LossEpochStepValidation Loss
0.40170.11000.5068
0.44160.22000.4932
0.71720.33000.4954
0.27720.44000.4986
0.51720.55000.5012
0.36350.66000.4983
0.24580.77000.5086
0.38040.88000.4972
0.20950.99000.4992
0.08811.010000.5037

Framework versions

  • —PEFT 0.10.1.dev0
  • —Transformers 4.41.0.dev0
  • —Pytorch 2.2.2+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1