README.md

metadata

base_model: codellama/CodeLlama-7b-Instruct-hf
datasets:
  - generator
library_name: peft
license: llama2
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: ccode-llama-instruct-7b-Python_assistant-Sft2
    results: []

ccode-llama-instruct-7b-Python_assistant-Sft2

This model is a fine-tuned version of codellama/CodeLlama-7b-Instruct-hf on the generator 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: 0.0002
• train_batch_size: 2
• eval_batch_size: 8
• 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: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3

Framework versions

• PEFT 0.7.2.dev0
• Transformers 4.36.2
• Pytorch 2.1.2
• Datasets 2.16.1
• Tokenizers 0.15.2