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BohdanPetryshyn/codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-5120

sourceHugging Facellama2updated 2y agoView on Hugging Face
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codellama-7b-openapi-completion-ctx-lvl-fim-05-spm-5120

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: 0.4677

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
0.38380.11000.4693
0.31060.22000.4574
0.3850.33000.4565
0.33580.44000.4650
0.35820.55000.4669
0.36610.66000.4637
0.29860.77000.4649
0.23660.88000.4778
0.23440.99000.4692
0.31311.010000.4677

Framework versions

  • —PEFT 0.10.1.dev0
  • —Transformers 4.41.0.dev0
  • —Pytorch 2.2.2+cu121
  • —Datasets 2.19.1
  • —Tokenizers 0.19.1