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BohdanPetryshyn/codellama-7b-openapi-completion-ctx-lvl-prmt

sourceHugging Facellama2updated 2y agoView on Hugging Face
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codellama-7b-openapi-completion-ctx-lvl-prmt

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: 0.3210

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: 1000

Training results

Training LossEpochStepValidation Loss
0.27320.11000.3538
0.32780.22000.3442
0.21210.33000.3424
0.18870.44000.3349
0.12180.55000.3509
0.08960.66000.3503
0.34710.77000.3320
0.25320.88000.3259
0.210.99000.3226
0.26081.010000.3210

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