README.md

metadata

base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
  - generator
library_name: peft
license: llama3
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: >-
      meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-alpaca-chinese-confine-dataset
    results: []

meta-llama-Meta-Llama-3-8B-Instruct-fine-tune-alpaca-chinese-confine-dataset

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct 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: 0.0001
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• 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

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1