bug fixed

src/rlhf/reward.py

@@ -18,7 +18,6 @@ from einops import rearrange, repeat, reduce, pack, unpack
 from einops.layers.torch import Rearrange, Reduce
 
 from src.rlhf.utils import masked_mean, gumbel_sample
-# from src.model import RWKV
 from src.model import RWKV
 
 # helper functions
@@ -28,7 +27,7 @@ def exists(val):
 
 # loss function
 def loss_function(prefer_reward, alter_reward):
-    return -torch.mean(torch.log(torch.sigmoid(alter_reward - prefer_reward)))
+    return -torch.mean(torch.log(torch.sigmoid(prefer_reward - alter_reward)))
 
 # Reward Model - RWKV with a scalar head
 
@@ -194,5 +193,10 @@ class RewardModel(pl.LightningModule):
         loss = loss_function(prefer_reward, alter_reward)
 
         return loss
+    
+    def training_step_end(self, batch_parts):
+        all = self.all_gather(batch_parts)
+        if self.trainer.is_global_zero:
+            self.trainer.my_loss_all = all
         
 

train_rm.py

@@ -221,9 +221,6 @@ if __name__ == "__main__":
     ########################################################################################################
 
     # 训练 RM 模型
-    def loss_function(prefer_reward, alter_reward):
-        return -torch.mean(torch.log(torch.sigmoid(alter_reward - prefer_reward)))
-
     import torch
 
     from tqdm import tqdm