[DOC] shorten log in doc

docs/Examples/HWF.rst

@@ -406,20 +406,7 @@ Log:
         abl - INFO - model loss: 0.00011
         abl - INFO - loop(train) [1/3] segment(train) [3/10] 
         abl - INFO - model loss: 0.00332
-        abl - INFO - loop(train) [1/3] segment(train) [4/10] 
-        abl - INFO - model loss: 0.00218
-        abl - INFO - loop(train) [1/3] segment(train) [5/10] 
-        abl - INFO - model loss: 0.00162
-        abl - INFO - loop(train) [1/3] segment(train) [6/10] 
-        abl - INFO - model loss: 0.00140
-        abl - INFO - loop(train) [1/3] segment(train) [7/10] 
-        abl - INFO - model loss: 0.00736
-        abl - INFO - loop(train) [1/3] segment(train) [8/10] 
-        abl - INFO - model loss: 0.00532
-        abl - INFO - loop(train) [1/3] segment(train) [9/10] 
-        abl - INFO - model loss: 0.00504
-        abl - INFO - loop(train) [1/3] segment(train) [10/10] 
-        abl - INFO - model loss: 0.00259
+        ...
         abl - INFO - Eval start: loop(val) [1]
         abl - INFO - Evaluation ended, hwf/character_accuracy: 0.997 hwf/reasoning_accuracy: 0.985 
         abl - INFO - loop(train) [2/3] segment(train) [1/10] 

docs/Examples/MNISTAdd.rst

@@ -361,29 +361,12 @@ Log:
         abl - INFO - model loss: 2.14168
         abl - INFO - loop(train) [1/2] segment(train) [3/100] 
         abl - INFO - model loss: 2.02010
-        abl - INFO - loop(train) [1/2] segment(train) [4/100] 
-        abl - INFO - model loss: 2.01933
-        abl - INFO - loop(train) [1/2] segment(train) [5/100] 
-        abl - INFO - model loss: 2.02230
-        abl - INFO - loop(train) [1/2] segment(train) [6/100] 
-        abl - INFO - model loss: 1.97602
-        abl - INFO - loop(train) [1/2] segment(train) [7/100] 
-        abl - INFO - model loss: 1.97942
-        abl - INFO - loop(train) [1/2] segment(train) [8/100] 
-        abl - INFO - model loss: 1.92800
-        abl - INFO - loop(train) [1/2] segment(train) [9/100] 
-        abl - INFO - model loss: 1.91512
-        abl - INFO - loop(train) [1/2] segment(train) [10/100] 
-        abl - INFO - model loss: 1.83939
-        abl - INFO - loop(train) [1/2] segment(train) [11/100] 
-        abl - INFO - model loss: 1.78795
-        abl - INFO - loop(train) [1/2] segment(train) [12/100] 
-        abl - INFO - model loss: 1.78538
+        ...
+        abl - INFO - loop(train) [2/2] segment(train) [1/100] 
+        abl - INFO - model loss: 0.90260
         ...
         abl - INFO - Eval start: loop(val) [2]
         abl - INFO - Evaluation ended, mnist_add/character_accuracy: 0.993 mnist_add/reasoning_accuracy: 0.986 
-        abl - INFO - Saving model: loop(save) [2]
-        abl - INFO - Checkpoints will be saved to results/20240107_20_56_09/weights/model_checkpoint_loop_2.pth
         abl - INFO - Test start:
         abl - INFO - Evaluation ended, mnist_add/character_accuracy: 0.991 mnist_add/reasoning_accuracy: 0.980