README.md

metadata

license: llama3
datasets:
  - silk-road/alpaca-data-gpt4-chinese
  - TigerResearch/sft_zh
  - LooksJuicy/ruozhiba
  - leo009/alpaca-cleaned-zh-cn
  - REILX/extracted_tagengo_gpt4
language:
  - en
  - zh
pipeline_tag: text-generation
tags:
  - text-generation-inference
  - llama
  - chat
  - sft
  - llama-factory

模型：

• https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct

数据集：

• https://huggingface.co/datasets/TigerResearch/sft_zh
• https://huggingface.co/datasets/silk-road/alpaca-data-gpt4-chinese
• https://huggingface.co/datasets/REILX/extracted_tagengo_gpt4
• https://huggingface.co/datasets/LooksJuicy/ruozhiba
• https://huggingface.co/datasets/leo009/alpaca-cleaned-zh-cn

（使用langid清理以上数据集，删除其中非中文资料）

训练工具

https://github.com/hiyouga/LLaMA-Factory

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 4
• 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_ratio: 0.1
• num_epochs: 3.0