README.md

metadata

license: other
base_model: Meta-Llama-3-8B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: code_complexity
    results: []

code_complexity

This model is a fine-tuned version of /cfs/hadoop-aipnlp/fudayuan02/model/llama3/Meta-Llama-3-8B-Instruct on the dataset dataset.

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 128
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.39.0
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2