Logs

app.py

@@ -151,8 +151,8 @@ def evaluate_model(model, dataloader, device):
             # Process each sequence in the batch
             for i in range(current_batch_size):
                 valid_mask = (labels[i] != -100) & (attention_mask[i] != 0)
-                valid_preds = preds[i][valid_mask[i]].flatten()
-                valid_labels = labels[i][valid_mask[i]].flatten()
+                valid_preds = preds[i][valid_mask].flatten()
+                valid_labels = labels[i][valid_mask].flatten()
                 print(valid_mask.dtype)
                 print(labels[i].shape)
                 print(labels[i])