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@@ -90,3 +90,4 @@ wandb/run-20250525_151554-2odnski3/run-2odnski3.wandb filter=lfs diff=lfs merge=
 wandb/offline-run-20250621_231729-cxogss37/run-cxogss37.wandb filter=lfs diff=lfs merge=lfs -text
 wandb/run-20250528_202747-jg8k6ewt/run-jg8k6ewt.wandb filter=lfs diff=lfs merge=lfs -text
 wandb/run-20250419_012919-06uu28y8/run-06uu28y8.wandb filter=lfs diff=lfs merge=lfs -text
+wandb/offline-run-20250718_063556-1m3naze2/run-1m3naze2.wandb filter=lfs diff=lfs merge=lfs -text

trained-sd3_5[dpo_and_rwr]_[chengyiw-l,l-w]_[p=05]_[batch_size4]_[beta250]_[1e-4]/code.txt

@@ -0,0 +1,6 @@
+                # Final loss.
+                # logits = ref_diff - model_diff
+                # logits = ref_losses_w - ref_losses_l - (model_losses_w - model_losses_l)
+                first_loss = (model_losses_w - ref_losses_w)*torch.exp(rewards_loss)
+                second_loss = (model_losses_l - ref_losses_l)*torch.exp(rewards_win)
+                logits = second_loss - first_loss

trained-sd3_5[dpo_and_rwr]_[chuyiw-l,l-w]_[p=05]_[batch_size4]_[beta250]_[1e-4]/code.txt

@@ -0,0 +1,6 @@
+                # Final loss.
+                # logits = ref_diff - model_diff
+                # logits = ref_losses_w - ref_losses_l - (model_losses_w - model_losses_l)
+                first_loss = (model_losses_w - ref_losses_w)/torch.exp(rewards_loss)
+                second_loss = (model_losses_l - ref_losses_l)/torch.exp(rewards_win)
+                logits = second_loss - first_loss

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