diff --git a/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/model.bin b/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/model.bin
index 4719ad0..f484b21 100644
Binary files a/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/model.bin and b/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/model.bin differ
diff --git a/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/source.json b/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/source.json
index 20f2971..dceadda 100644
--- a/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/source.json
+++ b/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/source.json
@@ -1 +1 @@
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-7.070000171661377, -6.070000171661377, -4.139999866485596, -2.640000104904175, -2.0899999141693115, -2.759999990463257, -2.5399999618530273, -3.059999942779541, -3.690000057220459, -4.010000228881836, -4.360000133514404, -3.3399999141693115, -2.119999885559082, -2.009999990463257, -1.5399999618530273, -0.5609999895095825, -0.1459999978542328, -1.8200000524520874, -1.9500000476837158, -1.559999942779541, -1.25, 0.18700000643730164, 1.75, 2.200000047683716, 2.440000057220459, 2.680000066757202, 4.349999904632568, 5.46999979019165, 5.789999961853027, 5.809999942779541, 6.71999979019165, 7.150000095367432, 7.949999809265137, 9.130000114440918, 10.699999809265137, 12.199999809265137, 12.899999618530273, 10.800000190734863, 8.460000038146973, 6.170000076293945, 6.400000095367432, 6.079999923706055, 7.019999980926514, 7.929999828338623, 8.699999809265137, 10.0, 11.100000381469727, 12.399999618530273, 13.5, 13.100000381469727, 13.899999618530273, 15.600000381469727, 17.399999618530273, 18.399999618530273, 20.100000381469727, 21.299999237060547, 22.299999237060547, 23.5, 23.899999618530273, 23.899999618530273, 24.100000381469727, 24.799999237060547, 24.799999237060547, 25.200000762939453, 25.100000381469727, 24.700000762939453, 24.399999618530273, 24.299999237060547, 24.100000381469727, 24.200000762939453, 24.600000381469727, 26.299999237060547, 26.299999237060547, 25.899999618530273, 25.600000381469727, 25.5, 25.899999618530273, 26.399999618530273, 27.0, 27.0, 26.899999618530273, 25.799999237060547, 24.600000381469727, 24.799999237060547, 24.0, 23.399999618530273, 23.100000381469727, 21.899999618530273, 19.299999237060547, 15.199999809265137, 11.800000190734863, 8.25, 6.119999885559082, 4.630000114440918, 2.8299999237060547, 1.2899999618530273, -0.18299999833106995, -0.4390000104904175, -1.7200000286102295, -3.069999933242798, -3.5, -3.440000057220459, -3.0199999809265137, -3.930000066757202, -4.849999904632568, -6.050000190734863, -9.050000190734863, 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-14.300000190734863, -15.0, -14.800000190734863, -14.300000190734863, -14.300000190734863, -14.5, -14.800000190734863, -13.899999618530273, -13.100000381469727, -12.100000381469727, -10.899999618530273, -9.479999542236328, -8.859999656677246, -8.319999694824219, -8.239999771118164, -7.659999847412109, -7.099999904632568, -6.489999771118164, -5.449999809265137, -5.010000228881836, -4.789999961853027, -4.820000171661377, -3.5399999618530273, -3.0, -1.940000057220459, -0.4950000047683716, 0.5189999938011169, 1.7899999618530273, 3.140000104904175, 4.46999979019165, 4.880000114440918, 5.050000190734863]]}, {"name": "param117", "data": [[-29.200000762939453, -18.200000762939453, -15.800000190734863, -12.300000190734863, -13.199999809265137, -10.800000190734863, -18.700000762939453, -26.399999618530273, -9.199999809265137, -7.449999809265137, -6.900000095367432, -9.880000114440918, -8.479999542236328, -10.5, -8.149999618530273, -10.100000381469727, -13.600000381469727, -6.239999771118164, -6.440000057220459, -7.820000171661377, -4.909999847412109, -9.739999771118164, -6.590000152587891, -14.800000190734863, -5.949999809265137, -15.5, -20.399999618530273, -20.200000762939453, -8.550000190734863, -11.100000381469727, -25.100000381469727, -16.5, -15.399999618530273, -1.3200000524520874, -10.399999618530273, -8.9399995803833, -11.800000190734863, -28.100000381469727, -28.700000762939453, -28.700000762939453, -4.769999980926514, 1.9500000476837158, -0.28600001335144043, 2.119999885559082, -28.799999237060547, -11.100000381469727, -24.700000762939453, -29.200000762939453, -28.600000381469727, -27.799999237060547, -29.200000762939453, -28.700000762939453, -27.700000762939453, -14.399999618530273, -28.600000381469727, -24.799999237060547, -27.100000381469727, -22.799999237060547, -24.5, -24.899999618530273, -25.5, -26.600000381469727, -21.799999237060547, -25.299999237060547, -25.600000381469727, -26.399999618530273, -21.100000381469727, -28.200000762939453, 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\ No newline at end of file
+{"source_curve_data": {"legend": ["Train Loss", "Test Loss"], "xAxis": [0, 10, 20], "series": [{"name": "Test Loss", "data": [0.14095462435483933, 0.18068188685178757, 0.16001752233505248]}, {"name": "Train Loss", "data": [0.34826045072078704, 0.13576242695748805, 0.10859448152780533]}]}}
\ No newline at end of file
diff --git a/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/training.log b/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/training.log
index 4ce5177..6fbe64e 100644
--- a/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/training.log
+++ b/FC_ML_Baseline/FC_ML_Baseline_Test/Data_Handle/training.log
@@ -270,3 +270,9 @@ Epoch 260 | Train Loss: 0.0623 | Test Loss: 0.1268 | Loss Factor: 0.49:1
 Epoch 270 | Train Loss: 0.0623 | Test Loss: 0.1269 | Loss Factor: 0.49:1
 Epoch 280 | Train Loss: 0.0622 | Test Loss: 0.1271 | Loss Factor: 0.49:1
 Epoch 290 | Train Loss: 0.0622 | Test Loss: 0.1271 | Loss Factor: 0.49:1
+Epoch 0 | Train Loss: 0.2575 | Test Loss: 0.2492 | Loss Factor: 1.03:1
+Epoch 10 | Train Loss: 0.1152 | Test Loss: 0.1740 | Loss Factor: 0.66:1
+Epoch 20 | Train Loss: 0.0915 | Test Loss: 0.1562 | Loss Factor: 0.59:1
+Epoch 0 | Train Loss: 0.3483 | Test Loss: 0.1410 | Loss Factor: 2.47:1
+Epoch 10 | Train Loss: 0.1358 | Test Loss: 0.1807 | Loss Factor: 0.75:1
+Epoch 20 | Train Loss: 0.1086 | Test Loss: 0.1600 | Loss Factor: 0.68:1
diff --git a/FC_ML_Baseline/FC_ML_Baseline_Test/Train/param.json b/FC_ML_Baseline/FC_ML_Baseline_Test/Train/param.json
index 23d3e62..5dbd082 100644
--- a/FC_ML_Baseline/FC_ML_Baseline_Test/Train/param.json
+++ b/FC_ML_Baseline/FC_ML_Baseline_Test/Train/param.json
@@ -14,7 +14,7 @@
     "studyPercent": 0.001,
     "stepCounts": 3,
     "roundPrint": 10,
-    "round": 300,
+    "round": 30,
     "preDisposeData": true,
     "disposeMethod": "minmax",
     "dataNoOrder": true
diff --git a/FC_ML_Baseline/FC_ML_Baseline_Train/Train_Proxy_Model.py b/FC_ML_Baseline/FC_ML_Baseline_Train/Train_Proxy_Model.py
index bbdda82..deac88f 100644
--- a/FC_ML_Baseline/FC_ML_Baseline_Train/Train_Proxy_Model.py
+++ b/FC_ML_Baseline/FC_ML_Baseline_Train/Train_Proxy_Model.py
@@ -38,6 +38,8 @@ import argparse
 import sys
 import os
 
+from FC_ML_Model.Model_Train_Curve_Data import TrainCurveData
+
 # 鑾峰彇褰撳墠鑴氭湰锛圖ata_Load.py锛夋墍鍦ㄧ殑鐩綍
 current_script_dir = os.path.dirname(__file__)  # 缁撴灉锛�/home/app/model/ModelTrainingPython/FC_ML_Baseline/FC_ML_Baseline_Data_Handler
 
@@ -63,6 +65,8 @@ if __name__ == '__main__':
     parser = argparse.ArgumentParser(description='浠ｇ悊妯″瀷璁粌鍙傛暟杈撳叆')
     parser.add_argument('--param', default='D:\liyong\project\ModelTrainingPython\FC_ML_Baseline\FC_ML_Baseline_Test\Train\param.json',
                         help='閰嶇疆鍙傛暟鏂囦欢缁濆璺緞')
+    parser.add_argument('--export', default='curve.json',
+                        help='瀵煎嚭JSON鏂囦欢鍚�')
     args = parser.parse_args()
     params = parse_json_file(args.param)
     print(params)
@@ -123,6 +127,16 @@ if __name__ == '__main__':
     # 鍦ㄨ缁冨惊鐜墠鍒濆鍖栨崯澶辫褰曞垪琛�
     train_losses = []
     test_losses = []
+    train_curve_data = TrainCurveData()
+    train_curve_data.source_curve_data["legend"].append("Train Loss")
+    train_curve_data.source_curve_data["legend"].append("Test Loss")
+    serie_test = {}
+    serie_test["name"] = "Test Loss"
+    serie_test["data"] = []
+    serie_train = {}
+    serie_train["name"] = "Train Loss"
+    serie_train["data"] = []
+
     for epoch in range(round_count):
         #妯″瀷鍚敤璁粌妯″紡
         epoch_train_loss = 0
@@ -154,10 +168,18 @@ if __name__ == '__main__':
         test_losses.append(avg_test_loss)
         #姣�100娆¤凯浠ｈ緭鍑轰竴娆℃崯澶辨暟鍊�
         if epoch % round_print == 0:
+            train_curve_data.source_curve_data["xAxis"].append(epoch)
+            serie_test["data"].append(avg_test_loss)
+            serie_train["data"].append(avg_train_loss)
+            train_curve_data.source_curve_data["series"].clear()
+            train_curve_data.source_curve_data["series"].append(serie_test)
+            train_curve_data.source_curve_data["series"].append(serie_train)
             print(
                 f"Epoch {epoch} | Train Loss: {avg_train_loss:.4f} | Test Loss: {avg_test_loss:.4f} | Loss Factor: {avg_train_loss / avg_test_loss:.2f}:1")
             with open(source_dir + "training.log", "a") as f:
                 f.write(f"Epoch {epoch} | Train Loss: {avg_train_loss:.4f} | Test Loss: {avg_test_loss:.4f} | Loss Factor: {avg_train_loss / avg_test_loss:.2f}:1\n")  # 鑷姩鎹㈣杩藉姞
+            with open(params["path"] + "/" + args.export, 'w') as f:
+                f.write(train_curve_data.to_json())  # 鍐�
     #瀵煎嚭璁粌鍚庣殑妯″瀷
     export_model(model,source_dir,"model",export_format,torch.randn(1, input_Size))
 
diff --git a/FC_ML_Model/Model_Train_Curve_Data.py b/FC_ML_Model/Model_Train_Curve_Data.py
new file mode 100644
index 0000000..fbece07
--- /dev/null
+++ b/FC_ML_Model/Model_Train_Curve_Data.py
@@ -0,0 +1,25 @@
+import json
+
+class TrainCurveData:
+    def __init__(self):
+        """
+        鍒濆鍖栬溅杈嗘暟鎹被
+        鍙傛暟涓庝箣鍓嶄繚鎸佷竴鑷�
+        """
+        self.source_curve_data = {}
+        self.source_curve_data["legend"] = []
+        self.source_curve_data["xAxis"] = []
+        self.source_curve_data["series"] = []
+
+    def to_dict(self):
+        """灏嗙被瀹炰緥杞崲涓哄瓧鍏告牸寮�"""
+        return {
+            'source_curve_data': self.source_curve_data
+        }
+
+    def to_json(self, indent=None):
+        """灏嗙被瀹炰緥搴忓垪鍖栦负JSON瀛楃涓�"""
+        return json.dumps(self.to_dict(), indent=indent, ensure_ascii=False)
+
+    # 淇濈暀鍘熸湁鑾峰彇鏁版嵁鐨勬柟娉�
+    def get_curve_data(self): return self.source_curve_data
\ No newline at end of file