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license: apache-2.0
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct

EvolCodeLlama-3.1-8B-Instruct

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct using QLoRA (4-bit precision) on the mlabonne/Evol-Instruct-Python-1k dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4057

Training:

It was trained on an A40 for more than 1 hour using Axolotl.

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 3

The lose curves are as:

image/png

image/png

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1