NarrativeQA

anchor

Findings

• IC-849GPT-2 and T5-base exhibit vanishing expected gradients under RFT for inputs with small reward standard deviation, prevalent in 3 of 7 GRUE datasets, causing RFT to underperform SFT [eval]
• IC-850A partial SFT phase (40% of steps, 1% of samples) before RFT allows GPT-2 and T5-base to reach 96% of the reward achieved with full SFT+RFT, by reducing the number of inputs with vanishing gradients [eval]