DATASET

• What's new?: Use the version 3.2 of dataset (Langfuse + AWS) that has better quality:
  • Remove all the 10, 15 question count, just focus on 5 question count
  • Fix all the Vietnamese quiz (make sure the output is Vietnamese)
  • Fix some lazy duplicated topic (Biglead, Computing)
  • Remove Paragraph, replace Paragraph with MCQ for all data points
  • Train using the default training config (60 step, linear lr)

TRAINING

• 1075.8979 seconds used for training.
• 17.93 minutes used for training.
• Peak reserved memory = 7.877 GB.
• Peak reserved memory for training = 6.729 GB.
• Peak reserved memory % of max memory = 53.411 %.
• Peak reserved memory for training % of max memory = 45.627 %.
• Final loss = 0.740000
• View full training here: https://wandb.ai/vietphuongnguyen2602-rockship/huggingface/runs/04u9obeu

FINAL BENCHMARKING

• Time to First Token (TTFT): 0.002s
• Time Per Output Token (TPOT): 40.85ms/token
• Throughput (token/s): 25.66token/s
• Average Token Latency (ms/token): 40.90ms/token
• Total Generation Time: 63.015s
• Input Tokenization Time: 0.008s
• Input Tokens: 1909
• Output Tokens: 984
• Total Tokens: 2892
• Memory Usage (GPU): 1.49GB

Uploaded model

• Developed by: vietphuon
• License: apache-2.0
• Finetuned from model : unsloth/Llama-3.2-1B-Instruct-bnb-4bit