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# train_grpo.py | |
# | |
# See https://github.com/willccbb/verifiers for ongoing developments | |
# | |
""" | |
citation: | |
@misc{brown2025grpodemo, | |
title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models}, | |
author={Brown, William}, |
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// Fork & examples for the one-line version by @vladimir-ivanov: | |
//let softmax = (arr) => (index) => Math.exp(arr[index]) / arr.map(y => Math.exp(y)).reduce((a, b) => a + b); | |
// | |
// Also see comments for improvements | |
function softmax(arr) { | |
return arr.map(function(value,index) { | |
return Math.exp(value) / arr.map( function(y /*value*/){ return Math.exp(y) } ).reduce( function(a,b){ return a+b }) | |
}) | |
} |