README.md

metadata

base_model: huggyllama/llama-7b
library_name: peft
license: mit
tags:
  - peft
  - lora
  - dora
model-index:
  - name: llama-3-8-fine-tuned-dora
    results: []
datasets:
  - timdettmers/openassistant-guanaco
pipeline_tag: text-generation

llama-3-8-fine-tuned-dora

This model is a fine-tuned version of huggyllama/llama-7b on on openassistant-guanaco dataset. For LoraConfig we set the use_dora=True for the Dora decomposition and comparison with Lora.

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: 0.0003
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.41.2
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1