Instruct_Yi-6B_Dolly15K

Fine-tuned from Yi-6B， used Dolly15k for the dataset. 90% for training, 10% validation. Trained for 2.0 epochs using Lora. Trained with 2048 context window. Compared with https://huggingface.co/HenryJJ/Instruct_Yi-6B_Dolly15K, I add additional CodeAlpaca_20K dataset that good at coding.

Model Details

• Trained by: trained by HenryJJ.
• Model type: Instruct_Yi-6B_Dolly15K is an auto-regressive language model based on the Llama 2 transformer architecture.
• Language(s): English
• License for Instruct_Yi-6B_Dolly15K: apache-2.0 license

Prompting

Prompt Template With Context

<|startoftext|>[INST]{instruction} {context}[/INST]{response}<|endoftext|>

<|startoftext|>[INST]
Write a 10-line poem about a given topic
The topic is about racecars
[/INST]

Prompt Template Without Context

<|startoftext|>[INST]
Who was the was the second president of the United States?
[/INST]

Training script:

Fully opensourced at: https://github.com/hengjiUSTC/learn-llm/blob/main/trl_finetune.py. Run on aws g4dn.12xlarge instance for 10 hours.

python3 trl_finetune.py --config configs/yi_6b-large.yml