README.md

metadata

base_model: codellama/CodeLlama-7b-hf
library_name: peft
license: llama2
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: code-llama-7b-chatbot
    results: []
pipeline_tag: text-generation

code-llama-7b-chatbot

This model, 'mkschulz9/code-llama-7b-chatbot,' is a fine-tuned version of codellama/CodeLlama-7b-hf, fine-tuned on a custom, QA-style dataset. It utilizes advanced techniques like LoRA and precision optimization with BitsAndBytes for efficient performance. The model is designed to answer questions about Matthew Schulz's educational background, work experience, and hobbies/interests.

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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• 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: 9

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1