README.md

metadata

base_model: NousResearch/Meta-Llama-3.1-70B-Instruct
library_name: peft
license: other
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: 70B_4bit
    results: []

70B_4bit

This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-70B-Instruct on the wisenut_lora_sft 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: 5e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 16
• 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_steps: 20
• num_epochs: 1.0

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.44.1
• Pytorch 2.2.2
• Datasets 2.20.0
• Tokenizers 0.19.1