update save_model

Author: TCChenlong

docs/practices/quick_start/save_model.ipynb

@@ -148,35 +148,33 @@
    },
    "outputs": [
     {
-     "name": "stderr",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
-      "W0422 17:11:10.184468  3841 gpu_context.cc:244] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 11.0, Runtime API Version: 10.1\n",
-      "W0422 17:11:10.189138  3841 gpu_context.cc:272] device: 0, cuDNN Version: 7.6.\n"
+      "The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
+      "Epoch 1/3\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
-      "Epoch 1/3\n"
-      "step 938/938 [==============================] - loss: 0.0882 - acc: 0.9377 - 30ms/step         \n",
+      "step 938/938 [==============================] - loss: 0.0100 - acc: 0.9474 - 30ms/step         \n",
       "save checkpoint at /home/aistudio/mnist_checkpoint/0\n",
       "Eval begin...\n",
-      "step 157/157 [==============================] - loss: 0.0015 - acc: 0.9771 - 30ms/step        \n",
+      "step 157/157 [==============================] - loss: 0.0044 - acc: 0.9801 - 28ms/step        \n",
       "Eval samples: 10000\n",
       "Epoch 2/3\n",
-      "step 938/938 [==============================] - loss: 0.0078 - acc: 0.9801 - 29ms/step        \n",
+      "step 938/938 [==============================] - loss: 0.0345 - acc: 0.9813 - 30ms/step         \n",
       "save checkpoint at /home/aistudio/mnist_checkpoint/1\n",
       "Eval begin...\n",
-      "step 157/157 [==============================] - loss: 2.8927e-04 - acc: 0.9814 - 28ms/step    \n",
+      "step 157/157 [==============================] - loss: 0.0013 - acc: 0.9844 - 27ms/step          \n",
       "Eval samples: 10000\n",
       "Epoch 3/3\n",
-      "step 938/938 [==============================] - loss: 0.0321 - acc: 0.9865 - 30ms/step         \n",
+      "step 938/938 [==============================] - loss: 0.0028 - acc: 0.9869 - 29ms/step        \n",
       "save checkpoint at /home/aistudio/mnist_checkpoint/2\n",
       "Eval begin...\n",
-      "step 157/157 [==============================] - loss: 3.5028e-04 - acc: 0.9829 - 31ms/step      \n",
+      "step 157/157 [==============================] - loss: 0.0013 - acc: 0.9872 - 28ms/step          \n",
       "Eval samples: 10000\n",
       "save checkpoint at /home/aistudio/mnist_checkpoint/final\n"
      ]
@@ -253,16 +251,16 @@
      "text": [
       "The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
       "Epoch 1/2\n",
-      "step 938/938 [==============================] - loss: 0.0107 - acc: 0.9886 - 30ms/step        \n",
+      "step 938/938 [==============================] - loss: 0.0036 - acc: 0.9895 - 29ms/step         \n",
       "save checkpoint at /home/aistudio/mnist_checkpoint/0\n",
       "Eval begin...\n",
-      "step 157/157 [==============================] - loss: 3.7397e-05 - acc: 0.9864 - 29ms/step      \n",
+      "step 157/157 [==============================] - loss: 0.0025 - acc: 0.9874 - 28ms/step          \n",
       "Eval samples: 10000\n",
       "Epoch 2/2\n",
-      "step 938/938 [==============================] - loss: 5.9229e-04 - acc: 0.9918 - 30ms/step     \n",
+      "step 938/938 [==============================] - loss: 8.8357e-04 - acc: 0.9925 - 29ms/step    \n",
       "save checkpoint at /home/aistudio/mnist_checkpoint/1\n",
       "Eval begin...\n",
-      "step 157/157 [==============================] - loss: 5.6621e-05 - acc: 0.9832 - 30ms/step      \n",
+      "step 157/157 [==============================] - loss: 4.4413e-04 - acc: 0.9884 - 28ms/step      \n",
       "Eval samples: 10000\n",
       "save checkpoint at /home/aistudio/mnist_checkpoint/final\n"
      ]
@@ -364,14 +362,14 @@
      "text": [
       "The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
       "Epoch 1/2\n",
-      "step 938/938 [==============================] - loss: 8.9464e-04 - acc: 0.9920 - 30ms/step     \n",
+      "step 938/938 [==============================] - loss: 0.0018 - acc: 0.9926 - 29ms/step        \n",
       "Eval begin...\n",
-      "step 157/157 [==============================] - loss: 2.2678e-05 - acc: 0.9851 - 28ms/step      \n",
+      "step 157/157 [==============================] - loss: 1.3860e-04 - acc: 0.9863 - 28ms/step      \n",
       "Eval samples: 10000\n",
       "Epoch 2/2\n",
-      "step 938/938 [==============================] - loss: 2.6110e-04 - acc: 0.9944 - 30ms/step     \n",
+      "step 938/938 [==============================] - loss: 1.5363e-04 - acc: 0.9949 - 30ms/step     \n",
       "Eval begin...\n",
-      "step 157/157 [==============================] - loss: 6.7650e-06 - acc: 0.9866 - 32ms/step      \n",
+      "step 157/157 [==============================] - loss: 1.5809e-04 - acc: 0.9880 - 29ms/step        \n",
       "Eval samples: 10000\n"
      ]
     }