2.8m Gmail.txt Info

: The SFT stage requires 60 hours of training on 16 H800 GPUs . The RL stages take an additional 34 hours on 24 H800 GPUs [11].

: Uses 22k data pairs focusing on textual accuracy ( 2.8M GMAIL.txt

: The model is tested on subsets ranging from 200k to 2.8 million samples. : The SFT stage requires 60 hours of

) used in the RL stages or the used to measure the success of the 2.8M dataset? 2.8M GMAIL.txt