Update rl_replacements.py

This commit is contained in:
Daniel Han 2025-02-14 04:33:41 -08:00
commit 546be40339

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@ -212,14 +212,14 @@ def _grpo_compute_loss(old_logits, new_logits, input_ids, mask, beta):
loss_i = -(loss_i - beta * kl_i)
mask = mask.to(torch.float32)
n_mask = mask.sum(1)
loss_per_reward = (loss_i * mask).sum(1) / n_mask
n_mask_per_reward = mask.sum(1)
loss_per_reward = (loss_i * mask).sum(1) / n_mask_per_reward
loss = loss_per_reward.mean()
# Get metrics as well which are folded
with torch.inference_mode():
completion_length = n_mask.mean()
mean_kl_per_reward = (kl_i * mask).sum(1) / n_mask
completion_length = n_mask_per_reward.mean()
mean_kl_per_reward = (kl_i * mask).sum(1) / n_mask_per_reward
mean_kl = mean_kl_per_reward.mean()
pass
return loss, completion_length, mean_kl