LogoLogo
Continuum Knowledge BankContinuum Applications
  • Introduction
  • Creation of Environment
    • Platform Installation
    • Axolotl Dependencies
    • setup.py objectives
      • script analysis
  • Huggingface Hub
  • Download the dataset
    • Types of Dataset Structures
    • Structuring Datasets for Fine-Tuning Large Language Models
    • Downloading Huggingface Datasets
    • Use Git to download dataset
    • Popular Datasets
    • Download cleaned Alpaca dataset
    • Template-free prompt construction
  • Downloading models
    • Phi 2.0 details
    • Downloading Phi 2.0
    • Available Models
  • Configuration for Training
  • Datasets
  • Model Selection - General
  • Phi 2.0
    • Phi 2.0 - Model Configuration
    • Phi 2.0 - Model Quantization
    • Phi 2.0 - Data Loading and Paths
    • Phi 2.0 - Sequence Configuration
    • Phi 2.0 - Lora Configuration
    • Phi 2.0 - Logging
    • Phi 2.0 - Training Configuration
    • Phi 2.0 - Data and Precision
    • Phi 2.0 - Optimisations
    • Phi 2.0 - Extra Hyperparameters
    • Phi 2.0 - All Configurations
    • Phi 2.0 - Preprocessing
    • Phi 2.0 - Training
    • Uploading Models
  • Llama2
    • Llama2 - Model Configuration
    • Llama2 - Model Quantization
    • Llama2 - Data Loading and Paths
    • Llama2 - Sequence Configuration
    • Llama2 - Lora Configuration
    • Llama2 - Logging
    • Llama2 - Training Configuration
    • Llama2 - Data and Precision
    • Llama2 - Optimisations
    • Llama2 - Extra Hyperparameters
    • Llama2- All Configurations
    • Llama2 - Training Configuration
    • Llama2 - Preprocessing
    • Llama2 - Training
  • Llama3
    • Downloading the model
    • Analysis of model files
      • Model Analysis - Configuration Parameters
      • Model Analysis - Safetensors
      • Tokenizer Configuration Files
        • Model Analysis - tokenizer.json
        • Model Analysis - Special Tokens
    • Llama3 - Model Configuration
    • Llama3 - Model Quantization
    • Llama3 - Data Loading and Paths
    • Llama3 - Sequence Configuration
    • Llama3 - Lora Configuration
    • Llama3 - Logging
    • Llama3 - Training Configuration
    • Llama3 - Data and Precision
    • Llama3 - Optimisations
    • Llama3 - Extra Hyperparameters
    • Llama3- All Configurations
    • Llama3 - Preprocessing
    • Llama3 - Training
    • Full Fine Tune
  • Special Tokens
  • Prompt Construction for Fine-Tuning Large Language Models
  • Memory-Efficient Fine-Tuning Techniques for Large Language Models
  • Training Ideas around Hyperparameters
    • Hugging Face documentation on loading PEFT
  • After fine tuning LLama3
  • Merging Model Weights
  • Merge Lora Instructions
  • Axolotl Configuration Files
    • Configuration Options
    • Model Configuration
    • Data Loading and Processing
    • Sequence Configuration
    • Lora Configuration
    • Logging
    • Training Configuration
    • Augmentation Techniques
  • Axolotl Fine-Tuning Tips & Tricks: A Comprehensive Guide
  • Axolotl debugging guide
  • Hugging Face Hub API
  • NCCL
  • Training Phi 1.5 - Youtube
  • JSON (JavaScript Object Notation)
  • General Tips
  • Datasets
Powered by GitBook
LogoLogo

This documentation is for the Axolotl community

On this page
  • Below are the primary categories for the YAML Training Configuration File
  • The balance of this module is describing each of these configuration areas.

Was this helpful?

Axolotl Configuration Files

Within Axolotl the training file is a YAML file.

There are an array of example training scripts spread across 24 different types of models.

Below are the primary categories for the YAML Training Configuration File

Category

Model Configuration

Data Loading and Processing

Sequence Configuration

Adapter Configuration

Logging and Monitoring

Training Configuration

Training Options

Attention Mechanisms

Training Schedules and Evaluation

Debugging and Optimization

Special Tokens

The balance of this module is describing each of these configuration areas.

PreviousMerge Lora InstructionsNextConfiguration Options

Last updated 1 year ago

Was this helpful?

Page cover image