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Thank you for your work and contribution to the community.
I've been reproducing the numbers from the EAGLE-2 paper, particularly Table 1 for the L2-7B model. However, I haven't been able to find the code that calculates $\tau$ (average acceptance length). While I found that it's possible to compute acceptance length by modifying evaluation/gen_ea_answer_llama2chat.py and model/ea_model.py (as mentioned in this issue #146), I am concerned that this approach may introduce inaccuracies due to discrepancies with your approach to measure $\tau$. Could you please confirm whether this is how you measured $\tau$ and provide your code for measuring average acceptance length, along with a smaller example of how to run it?
Thank you!
The text was updated successfully, but these errors were encountered:
The average acceptance length can be calculated by dividing the total number of generated tokens by the number of steps, which can be obtained from the output files.
Hello,
Thank you for your work and contribution to the community.
I've been reproducing the numbers from the EAGLE-2 paper, particularly Table 1 for the L2-7B model. However, I haven't been able to find the code that calculates$\tau$ (average acceptance length). While I found that it's possible to compute acceptance length by modifying evaluation/gen_ea_answer_llama2chat.py and model/ea_model.py (as mentioned in this issue #146), I am concerned that this approach may introduce inaccuracies due to discrepancies with your approach to measure $\tau$ . Could you please confirm whether this is how you measured $\tau$ and provide your code for measuring average acceptance length, along with a smaller example of how to run it?
Thank you!
The text was updated successfully, but these errors were encountered: