codellamafinetune5 / README.md
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metadata
license: llama2
library_name: peft
tags:
  - generated_from_trainer
base_model: codellama/CodeLlama-7b-Instruct-hf
model-index:
  - name: codellamafinetune5
    results: []

codellamafinetune5

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9177

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: 0.001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 8

Training results

Training Loss Epoch Step Validation Loss
2.688 1.0 1 2.6909
2.2046 2.0 2 2.0808
1.6634 3.0 3 1.5857
1.1166 4.0 4 1.2302
0.6914 5.0 5 1.0227
0.4471 6.0 6 0.9613
0.3101 7.0 7 0.9151
0.2215 8.0 8 0.9177

Framework versions

  • Transformers 4.36.0
  • Pytorch 2.0.1
  • Datasets 2.16.1
  • Tokenizers 0.15.0

Training procedure

Framework versions

  • PEFT 0.6.0