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{
"taskId": "e9b56c2f-7834-4148-8c1a-4788f284c864",
"overallStatus": "SUCCESS",
"startTime": "2025-11-19T15:56:20.4121162",
"endTime": "2025-11-19T15:57:52.644144",
"totalDuration": 92,
"currentStep": 6,
"totalSteps": 6,
"scriptResults": [
{
"scriptName": "Trade_Transformer_LSTM_quantity.py",
"status": "SUCCESS",
"startTime": "2025-11-19T15:56:20.4161925",
"endTime": "2025-11-19T15:56:47.8559611",
"duration": 27,
"errorMessage": null,
"output": "成功使用 gbk 编码读取文件\nCSV 文件列名: ['数据年月', '贸易伙伴编码', '贸易伙伴名称', '商品编码', '商品名称', '贸易方式编码', '贸易方式名称', '注册地编码', '注册地名称', '数量', '计量单位', '人民币', '单价']\n列名类型: ['str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str']\n匹配成功: '数据年月' <- '数据年月'\n匹配成功: '贸易伙伴编码' <- '贸易伙伴编码'\n匹配成功: '商品编码' <- '商品编码'\n匹配成功: '贸易方式编码' <- '贸易方式编码'\n匹配成功: '注册地编码' <- '注册地编码'\n匹配成功: '计量单位' <- '计量单位'\n匹配成功: '数量' <- '数量'\n匹配成功: '人民币' <- '人民币'\n列名映射完成: {'数据年月': '数据年月', '贸易伙伴编码': '贸易伙伴编码', '商品编码': '商品编码', '贸易方式编码': '贸易方式编码', '注册地编码': '注册地编码', '计量单位': '计量单位', '数量': '数量', '人民币': '人民币'}\n开始训练...\nEpoch 1/150 | Train Loss: 3.2875 | Val Loss: 0.2015\nValidation loss decreased (inf --> 0.201493). Saving model...\nEpoch 2/150 | Train Loss: 2.4941 | Val Loss: 6.4543\nEarlyStopping counter: 1 out of 100\nEpoch 3/150 | Train Loss: 2.8213 | Val Loss: 0.1884\nValidation loss decreased (0.201493 --> 0.188373). Saving model...\nEpoch 4/150 | Train Loss: 0.8736 | Val Loss: 0.5282\nEarlyStopping counter: 1 out of 100\nEpoch 5/150 | Train Loss: 1.0318 | Val Loss: 0.1794\nValidation loss decreased (0.188373 --> 0.179389). Saving model...\nEpoch 6/150 | Train Loss: 0.8570 | Val Loss: 0.4984\nEarlyStopping counter: 1 out of 100\nEpoch 7/150 | Train Loss: 1.0697 | Val Loss: 0.2928\nEarlyStopping counter: 2 out of 100\nEpoch 8/150 | Train Loss: 0.8073 | Val Loss: 0.1686\nValidation loss decreased (0.179389 --> 0.168616). Saving model...\nEpoch 9/150 | Train Loss: 1.0657 | Val Loss: 0.2389\nEarlyStopping counter: 1 out of 100\nEpoch 10/150 | Train Loss: 1.0102 | Val Loss: 0.1665\nValidation loss decreased (0.168616 --> 0.166533). Saving model...\nEpoch 11/150 | Train Loss: 0.7222 | Val Loss: 0.2669\nEarlyStopping counter: 1 out of 100\nEpoch 12/150 | Train Loss: 0.8280 | Val Loss: 0.4458\nEarlyStopping counter: 2 out of 100\nEpoch 13/150 | Train Loss: 0.8396 | Val Loss: 0.3445\nEarlyStopping counter: 3 out of 100\nEpoch 14/150 | Train Loss: 0.7461 | Val Loss: 0.2116\nEarlyStopping counter: 4 out of 100\nEpoch 15/150 | Train Loss: 0.8760 | Val Loss: 0.1647\nValidation loss decreased (0.166533 --> 0.164659). Saving model...\nEpoch 16/150 | Train Loss: 0.7970 | Val Loss: 0.1652\nEarlyStopping counter: 1 out of 100\nEpoch 17/150 | Train Loss: 0.8707 | Val Loss: 0.1876\nEarlyStopping counter: 2 out of 100\nEpoch 18/150 | Train Loss: 0.7953 | Val Loss: 0.2125\nEarlyStopping counter: 3 out of 100\nEpoch 19/150 | Train Loss: 0.8850 | Val Loss: 0.2310\nEarlyStopping counter: 4 out of 100\nEpoch 20/150 | Train Loss: 1.1320 | Val Loss: 0.2449\nEarlyStopping counter: 5 out of 100\nEpoch 21/150 | Train Loss: 1.0343 | Val Loss: 0.1935\nEarlyStopping counter: 6 out of 100\nEpoch 22/150 | Train Loss: 0.8258 | Val Loss: 0.1933\nEarlyStopping counter: 7 out of 100\nEpoch 23/150 | Train Loss: 0.8572 | Val Loss: 0.1827\nEarlyStopping counter: 8 out of 100\nEpoch 24/150 | Train Loss: 0.9520 | Val Loss: 0.1735\nEarlyStopping counter: 9 out of 100\nEpoch 25/150 | Train Loss: 0.7552 | Val Loss: 0.1708\nEarlyStopping counter: 10 out of 100\nEpoch 26/150 | Train Loss: 0.8476 | Val Loss: 0.1760\nEarlyStopping counter: 11 out of 100\nEpoch 27/150 | Train Loss: 0.8097 | Val Loss: 0.1909\nEarlyStopping counter: 12 out of 100\nEpoch 28/150 | Train Loss: 0.6601 | Val Loss: 0.1992\nEarlyStopping counter: 13 out of 100\nEpoch 29/150 | Train Loss: 0.7423 | Val Loss: 0.2091\nEarlyStopping counter: 14 out of 100\nEpoch 30/150 | Train Loss: 0.8331 | Val Loss: 0.2061\nEarlyStopping counter: 15 out of 100\nEpoch 31/150 | Train Loss: 0.7947 | Val Loss: 0.2050\nEarlyStopping counter: 16 out of 100\nEpoch 32/150 | Train Loss: 0.7487 | Val Loss: 0.1985\nEarlyStopping counter: 17 out of 100\nEpoch 33/150 | Train Loss: 0.8267 | Val Loss: 0.1908\nEarlyStopping counter: 18 out of 100\nEpoch 34/150 | Train Loss: 0.8077 | Val Loss: 0.1911\nEarlyStopping counter: 19 out of 100\nEpoch 35/150 | Train Loss: 0.7277 | Val Loss: 0.1880\nEarlyStopping counter: 20 out of 100\nEpoch 36/150 | Train Loss: 0.9094 | Val Loss: 0.1878\nEarlyStopping counter: 21 out of 100\nEpoch 37/150 | Train Loss: 0.8732 | Val Loss: 0.1862\nEarlyStopping counter: 22 out of 100\nEpoch 38/150 | Train Loss: 0.8389 | Val Loss: 0.1866\nEarlyStopping counter: 23 out of 100\nEpoch 39/150 | Train Loss: 0.7658 | Val Loss: 0.1832\nEarlyStopping counter: 24 out of 100\nEpoch 40/150 | Train Loss: 0.8399 | Val Loss: 0.1833\nEarlyStopping counter: 25 out of 100\nEpoch 41/150 | Train Loss: 0.7427 | Val Loss: 0.1830\nEarlyStopping counter: 26 out of 100\nEpoch 42/150 | Train Loss: 0.8197 | Val Loss: 0.1822\nEarlyStopping counter: 27 out of 100\nEpoch 43/150 | Train Loss: 0.8865 | Val Loss: 0.1833\nEarlyStopping counter: 28 out of 100\nEpoch 44/150 | Train Loss: 0.7941 | Val Loss: 0.1830\nEarlyStopping counter: 29 out of 100\nEpoch 45/150 | Train Loss: 0.7444 | Val Loss: 0.1831\nEarlyStopping counter: 30 out of 100\nEpoch 46/150 | Train Loss: 0.7134 | Val Loss: 0.1832\nEarlyStopping counter: 31 out of 100\nEpoch 47/150 | Train Loss: 0.7591 | Val Loss: 0.1836\nEarlyStopping counter: 32 out of 100\nEpoch 48/150 | Train Loss: 0.8008 | Val Loss: 0.1836\nEarlyStopping counter: 33 out of 100\nEpoch 49/150 | Train Loss: 0.7503 | Val Loss: 0.1841\nEarlyStopping counter: 34 out of 100\nEpoch 50/150 | Train Loss: 0.7567 | Val Loss: 0.1852\nEarlyStopping counter: 35 out of 100\nEpoch 51/150 | Train Loss: 0.8397 | Val Loss: 0.1860\nEarlyStopping counter: 36 out of 100\nEpoch 52/150 | Train Loss: 0.8506 | Val Loss: 0.1860\nEarlyStopping counter: 37 out of 100\nEpoch 53/150 | Train Loss: 0.6697 | Val Loss: 0.1860\nEarlyStopping counter: 38 out of 100\nEpoch 54/150 | Train Loss: 0.9621 | Val Loss: 0.1859\nEarlyStopping counter: 39 out of 100\nEpoch 55/150 | Train Loss: 0.8243 | Val Loss: 0.1859\nEarlyStopping counter: 40 out of 100\nEpoch 56/150 | Train Loss: 1.0216 | Val Loss: 0.1859\nEarlyStopping counter: 41 out of 100\nEpoch 57/150 | Train Loss: 0.7473 | Val Loss: 0.1856\nEarlyStopping counter: 42 out of 100\nEpoch 58/150 | Train Loss: 0.8165 | Val Loss: 0.1857\nEarlyStopping counter: 43 out of 100\nEpoch 59/150 | Train Loss: 0.6880 | Val Loss: 0.1857\nEarlyStopping counter: 44 out of 100\nEpoch 60/150 | Train Loss: 0.7478 | Val Loss: 0.1856\nEarlyStopping counter: 45 out of 100\nEpoch 61/150 | Train Loss: 0.9521 | Val Loss: 0.1857\nEarlyStopping counter: 46 out of 100\nEpoch 62/150 | Train Loss: 0.7672 | Val Loss: 0.1858\nEarlyStopping counter: 47 out of 100\nEpoch 63/150 | Train Loss: 0.9126 | Val Loss: 0.1856\nEarlyStopping counter: 48 out of 100\nEpoch 64/150 | Train Loss: 0.7052 | Val Loss: 0.1856\nEarlyStopping counter: 49 out of 100\nEpoch 65/150 | Train Loss: 0.7329 | Val Loss: 0.1855\nEarlyStopping counter: 50 out of 100\nEpoch 66/150 | Train Loss: 1.0003 | Val Loss: 0.1855\nEarlyStopping counter: 51 out of 100\nEpoch 67/150 | Train Loss: 0.7573 | Val Loss: 0.1855\nEarlyStopping counter: 52 out of 100\nEpoch 68/150 | Train Loss: 0.7279 | Val Loss: 0.1855\nEarlyStopping counter: 53 out of 100\nEpoch 69/150 | Train Loss: 0.8217 | Val Loss: 0.1855\nEarlyStopping counter: 54 out of 100\nEpoch 70/150 | Train Loss: 0.7165 | Val Loss: 0.1854\nEarlyStopping counter: 55 out of 100\nEpoch 71/150 | Train Loss: 0.8051 | Val Loss: 0.1854\nEarlyStopping counter: 56 out of 100\nEpoch 72/150 | Train Loss: 0.8449 | Val Loss: 0.1854\nEarlyStopping counter: 57 out of 100\nEpoch 73/150 | Train Loss: 0.9025 | Val Loss: 0.1853\nEarlyStopping counter: 58 out of 100\nEpoch 74/150 | Train Loss: 0.7688 | Val Loss: 0.1853\nEarlyStopping counter: 59 out of 100\nEpoch 75/150 | Train Loss: 0.6806 | Val Loss: 0.1853\nEarlyStopping counter: 60 out of 100\nEpoch 76/150 | Train Loss: 0.7814 | Val Loss: 0.1853\nEarlyStopping counter: 61 out of 100\nEpoch 77/150 | Train Loss: 0.7766 | Val Loss: 0.1853\nEarlyStopping counter: 62 out of 100\nEpoch 78/150 | Train Loss: 0.7957 | Val Loss: 0.1853\nEarlyStopping counter: 63 out of 100\nEpoch 79/150 | Train Loss: 0.7024 | Val Loss: 0.1853\nEarlyStopping counter: 64 out of 100\nEpoch 80/150 | Train Loss: 0.7742 | Val Loss: 0.1853\nEarlyStopping counter: 65 out of 100\nEpoch 81/150 | Train Loss: 0.6991 | Val Loss: 0.1853\nEarlyStopping counter: 66 out of 100\nEpoch 82/150 | Train Loss: 0.9118 | Val Loss: 0.1853\nEarlyStopping counter: 67 out of 100\nEpoch 83/150 | Train Loss: 0.8196 | Val Loss: 0.1854\nEarlyStopping counter: 68 out of 100\nEpoch 84/150 | Train Loss: 0.9335 | Val Loss: 0.1854\nEarlyStopping counter: 69 out of 100\nEpoch 85/150 | Train Loss: 0.6990 | Val Loss: 0.1854\nEarlyStopping counter: 70 out of 100\nEpoch 86/150 | Train Loss: 0.7587 | Val Loss: 0.1854\nEarlyStopping counter: 71 out of 100\nEpoch 87/150 | Train Loss: 0.8766 | Val Loss: 0.1854\nEarlyStopping counter: 72 out of 100\nEpoch 88/150 | Train Loss: 0.7313 | Val Loss: 0.1854\nEarlyStopping counter: 73 out of 100\nEpoch 89/150 | Train Loss: 0.7624 | Val Loss: 0.1854\nEarlyStopping counter: 74 out of 100\nEpoch 90/150 | Train Loss: 0.6845 | Val Loss: 0.1854\nEarlyStopping counter: 75 out of 100\nEpoch 91/150 | Train Loss: 0.7398 | Val Loss: 0.1854\nEarlyStopping counter: 76 out of 100\nEpoch 92/150 | Train Loss: 0.8896 | Val Loss: 0.1854\nEarlyStopping counter: 77 out of 100\nEpoch 93/150 | Train Loss: 0.8740 | Val Loss: 0.1854\nEarlyStopping counter: 78 out of 100\nEpoch 94/150 | Train Loss: 0.8335 | Val Loss: 0.1854\nEarlyStopping counter: 79 out of 100\nEpoch 95/150 | Train Loss: 0.7611 | Val Loss: 0.1854\nEarlyStopping counter: 80 out of 100\nEpoch 96/150 | Train Loss: 0.8750 | Val Loss: 0.1854\nEarlyStopping counter: 81 out of 100\nEpoch 97/150 | Train Loss: 0.7907 | Val Loss: 0.1854\nEarlyStopping counter: 82 out of 100\nEpoch 98/150 | Train Loss: 0.7397 | Val Loss: 0.1854\nEarlyStopping counter: 83 out of 100\nEpoch 99/150 | Train Loss: 0.6888 | Val Loss: 0.1854\nEarlyStopping counter: 84 out of 100\nEpoch 100/150 | Train Loss: 0.7402 | Val Loss: 0.1854\nEarlyStopping counter: 85 out of 100\nEpoch 101/150 | Train Loss: 0.8000 | Val Loss: 0.1854\nEarlyStopping counter: 86 out of 100\nEpoch 102/150 | Train Loss: 0.7193 | Val Loss: 0.1854\nEarlyStopping counter: 87 out of 100\nEpoch 103/150 | Train Loss: 0.7822 | Val Loss: 0.1854\nEarlyStopping counter: 88 out of 100\nEpoch 104/150 | Train Loss: 0.7414 | Val Loss: 0.1854\nEarlyStopping counter: 89 out of 100\nEpoch 105/150 | Train Loss: 0.8000 | Val Loss: 0.1854\nEarlyStopping counter: 90 out of 100\nEpoch 106/150 | Train Loss: 0.7793 | Val Loss: 0.1854\nEarlyStopping counter: 91 out of 100\nEpoch 107/150 | Train Loss: 0.8716 | Val Loss: 0.1854\nEarlyStopping counter: 92 out of 100\nEpoch 108/150 | Train Loss: 0.8656 | Val Loss: 0.1854\nEarlyStopping counter: 93 out of 100\nEpoch 109/150 | Train Loss: 0.7846 | Val Loss: 0.1854\nEarlyStopping counter: 94 out of 100\nEpoch 110/150 | Train Loss: 0.8121 | Val Loss: 0.1854\nEarlyStopping counter: 95 out of 100\nEpoch 111/150 | Train Loss: 0.6903 | Val Loss: 0.1854\nEarlyStopping counter: 96 out of 100\nEpoch 112/150 | Train Loss: 0.7575 | Val Loss: 0.1854\nEarlyStopping counter: 97 out of 100\nEpoch 113/150 | Train Loss: 0.7347 | Val Loss: 0.1854\nEarlyStopping counter: 98 out of 100\nEpoch 114/150 | Train Loss: 0.8378 | Val Loss: 0.1854\nEarlyStopping counter: 99 out of 100\nEpoch 115/150 | Train Loss: 0.7499 | Val Loss: 0.1854\nEarlyStopping counter: 100 out of 100\nEarly stopping\n开始验证...\n\n数量 评估:\nR2 Score: -0.3863\nMSE: 441539428352.0000\nMAE: 429244.38\n部分预测值 VS 真实值:\n预测: 数量=205183.06 真实: 数量=109512.04\n预测: 数量=212018.77 真实: 数量=261455.91\n预测: 数量=217278.62 真实: 数量=1463091.75\n预测: 数量=214663.50 真实: 数量=125963.02\n预测: 数量=209021.55 真实: 数量=391206.03\n预测: 数量=208486.02 真实: 数量=139344.97\n预测: 数量=203767.94 真实: 数量=733806.81\n预测: 数量=203722.08 真实: 数量=565682.75\n预测: 数量=210771.66 真实: 数量=242735.94\n预测: 数量=210150.45 真实: 数量=163602.08\n✅ 模型和预处理器已成功保存！\n"
},
{
"scriptName": "Trade_Transformer_LSTM_price.py",
"status": "SUCCESS",
"startTime": "2025-11-19T15:56:47.8559611",
"endTime": "2025-11-19T15:57:16.9805949",
"duration": 29,
"errorMessage": null,
"output": "成功使用 gbk 编码读取文件\nCSV 文件列名: ['数据年月', '贸易伙伴编码', '贸易伙伴名称', '商品编码', '商品名称', '贸易方式编码', '贸易方式名称', '注册地编码', '注册地名称', '数量', '计量单位', '人民币', '单价']\n列名类型: ['str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str']\n匹配成功: '数据年月' <- '数据年月'\n匹配成功: '贸易伙伴编码' <- '贸易伙伴编码'\n匹配成功: '商品编码' <- '商品编码'\n匹配成功: '贸易方式编码' <- '贸易方式编码'\n匹配成功: '注册地编码' <- '注册地编码'\n匹配成功: '计量单位' <- '计量单位'\n匹配成功: '数量' <- '数量'\n匹配成功: '人民币' <- '人民币'\n匹配成功: '单价' <- '单价'\n列名映射完成: {'数据年月': '数据年月', '贸易伙伴编码': '贸易伙伴编码', '商品编码': '商品编码', '贸易方式编码': '贸易方式编码', '注册地编码': '注册地编码', '计量单位': '计量单位', '数量': '数量', '人民币': '人民币', '单价': '单价'}\n开始训练...\nEpoch 1/1000 | Train Loss: 2.3105 | Val Loss: 1.0220\nValidation loss decreased (inf --> 1.021967). Saving model...\nEpoch 2/1000 | Train Loss: 1.0359 | Val Loss: 0.3024\nValidation loss decreased (1.021967 --> 0.302424). Saving model...\nEpoch 3/1000 | Train Loss: 0.5299 | Val Loss: 0.3195\nEarlyStopping counter: 1 out of 100\nEpoch 4/1000 | Train Loss: 0.5760 | Val Loss: 0.1781\nValidation loss decreased (0.302424 --> 0.178115). Saving model...\nEpoch 5/1000 | Train Loss: 0.5796 | Val Loss: 0.1243\nValidation loss decreased (0.178115 --> 0.124280). Saving model...\nEpoch 6/1000 | Train Loss: 0.4840 | Val Loss: 0.2051\nEarlyStopping counter: 1 out of 100\nEpoch 7/1000 | Train Loss: 0.4096 | Val Loss: 0.1104\nValidation loss decreased (0.124280 --> 0.110431). Saving model...\nEpoch 8/1000 | Train Loss: 0.5201 | Val Loss: 0.1591\nEarlyStopping counter: 1 out of 100\nEpoch 9/1000 | Train Loss: 0.5136 | Val Loss: 0.0835\nValidation loss decreased (0.110431 --> 0.083516). Saving model...\nEpoch 10/1000 | Train Loss: 0.4032 | Val Loss: 0.1481\nEarlyStopping counter: 1 out of 100\nEpoch 11/1000 | Train Loss: 0.5110 | Val Loss: 0.1415\nEarlyStopping counter: 2 out of 100\nEpoch 12/1000 | Train Loss: 0.3115 | Val Loss: 0.1282\nEarlyStopping counter: 3 out of 100\nEpoch 13/1000 | Train Loss: 0.3537 | Val Loss: 0.4444\nEarlyStopping counter: 4 out of 100\nEpoch 14/1000 | Train Loss: 0.3207 | Val Loss: 0.8024\nEarlyStopping counter: 5 out of 100\nEpoch 15/1000 | Train Loss: 0.3353 | Val Loss: 0.5256\nEarlyStopping counter: 6 out of 100\nEpoch 16/1000 | Train Loss: 0.2974 | Val Loss: 0.5883\nEarlyStopping counter: 7 out of 100\nEpoch 17/1000 | Train Loss: 0.3038 | Val Loss: 0.8546\nEarlyStopping counter: 8 out of 100\nEpoch 18/1000 | Train Loss: 0.2127 | Val Loss: 0.7756\nEarlyStopping counter: 9 out of 100\nEpoch 19/1000 | Train Loss: 0.2994 | Val Loss: 0.5089\nEarlyStopping counter: 10 out of 100\nEpoch 20/1000 | Train Loss: 0.1967 | Val Loss: 0.4185\nEarlyStopping counter: 11 out of 100\nEpoch 21/1000 | Train Loss: 0.2834 | Val Loss: 0.5489\nEarlyStopping counter: 12 out of 100\nEpoch 22/1000 | Train Loss: 0.2479 | Val Loss: 0.5386\nEarlyStopping counter: 13 out of 100\nEpoch 23/1000 | Train Loss: 0.2304 | Val Loss: 0.4821\nEarlyStopping counter: 14 out of 100\nEpoch 24/1000 | Train Loss: 0.1790 | Val Loss: 0.4413\nEarlyStopping counter: 15 out of 100\nEpoch 25/1000 | Train Loss: 0.2180 | Val Loss: 0.4567\nEarlyStopping counter: 16 out of 100\nEpoch 26/1000 | Train Loss: 0.1912 | Val Loss: 0.5035\nEarlyStopping counter: 17 out of 100\nEpoch 27/1000 | Train Loss: 0.2104 | Val Loss: 0.4645\nEarlyStopping counter: 18 out of 100\nEpoch 28/1000 | Train Loss: 0.2441 | Val Loss: 0.4533\nEarlyStopping counter: 19 out of 100\nEpoch 29/1000 | Train Loss: 0.2340 | Val Loss: 0.3957\nEarlyStopping counter: 20 out of 100\nEpoch 30/1000 | Train Loss: 0.2160 | Val Loss: 0.3766\nEarlyStopping counter: 21 out of 100\nEpoch 31/1000 | Train Loss: 0.1813 | Val Loss: 0.3993\nEarlyStopping counter: 22 out of 100\nEpoch 32/1000 | Train Loss: 0.1903 | Val Loss: 0.4623\nEarlyStopping counter: 23 out of 100\nEpoch 33/1000 | Train Loss: 0.1787 | Val Loss: 0.5072\nEarlyStopping counter: 24 out of 100\nEpoch 34/1000 | Train Loss: 0.2175 | Val Loss: 0.4954\nEarlyStopping counter: 25 out of 100\nEpoch 35/1000 | Train Loss: 0.2971 | Val Loss: 0.4684\nEarlyStopping counter: 26 out of 100\nEpoch 36/1000 | Train Loss: 0.2023 | Val Loss: 0.4520\nEarlyStopping counter: 27 out of 100\nEpoch 37/1000 | Train Loss: 0.2261 | Val Loss: 0.4233\nEarlyStopping counter: 28 out of 100\nEpoch 38/1000 | Train Loss: 0.1449 | Val Loss: 0.3929\nEarlyStopping counter: 29 out of 100\nEpoch 39/1000 | Train Loss: 0.2697 | Val Loss: 0.3611\nEarlyStopping counter: 30 out of 100\nEpoch 40/1000 | Train Loss: 0.1521 | Val Loss: 0.3496\nEarlyStopping counter: 31 out of 100\nEpoch 41/1000 | Train Loss: 0.1987 | Val Loss: 0.3368\nEarlyStopping counter: 32 out of 100\nEpoch 42/1000 | Train Loss: 0.2074 | Val Loss: 0.3269\nEarlyStopping counter: 33 out of 100\nEpoch 43/1000 | Train Loss: 0.2137 | Val Loss: 0.3151\nEarlyStopping counter: 34 out of 100\nEpoch 44/1000 | Train Loss: 0.1891 | Val Loss: 0.3073\nEarlyStopping counter: 35 out of 100\nEpoch 45/1000 | Train Loss: 0.1686 | Val Loss: 0.3092\nEarlyStopping counter: 36 out of 100\nEpoch 46/1000 | Train Loss: 0.2019 | Val Loss: 0.3131\nEarlyStopping counter: 37 out of 100\nEpoch 47/1000 | Train Loss: 0.1860 | Val Loss: 0.3183\nEarlyStopping counter: 38 out of 100\nEpoch 48/1000 | Train Loss: 0.1990 | Val Loss: 0.3248\nEarlyStopping counter: 39 out of 100\nEpoch 49/1000 | Train Loss: 0.1736 | Val Loss: 0.3299\nEarlyStopping counter: 40 out of 100\nEpoch 50/1000 | Train Loss: 0.1537 | Val Loss: 0.3386\nEarlyStopping counter: 41 out of 100\nEpoch 51/1000 | Train Loss: 0.1473 | Val Loss: 0.3464\nEarlyStopping counter: 42 out of 100\nEpoch 52/1000 | Train Loss: 0.2130 | Val Loss: 0.3503\nEarlyStopping counter: 43 out of 100\nEpoch 53/1000 | Train Loss: 0.1671 | Val Loss: 0.3536\nEarlyStopping counter: 44 out of 100\nEpoch 54/1000 | Train Loss: 0.2085 | Val Loss: 0.3559\nEarlyStopping counter: 45 out of 100\nEpoch 55/1000 | Train Loss: 0.1309 | Val Loss: 0.3587\nEarlyStopping counter: 46 out of 100\nEpoch 56/1000 | Train Loss: 0.2063 | Val Loss: 0.3607\nEarlyStopping counter: 47 out of 100\nEpoch 57/1000 | Train Loss: 0.1605 | Val Loss: 0.3627\nEarlyStopping counter: 48 out of 100\nEpoch 58/1000 | Train Loss: 0.1827 | Val Loss: 0.3625\nEarlyStopping counter: 49 out of 100\nEpoch 59/1000 | Train Loss: 0.1722 | Val Loss: 0.3629\nEarlyStopping counter: 50 out of 100\nEpoch 60/1000 | Train Loss: 0.1570 | Val Loss: 0.3637\nEarlyStopping counter: 51 out of 100\nEpoch 61/1000 | Train Loss: 0.1744 | Val Loss: 0.3648\nEarlyStopping counter: 52 out of 100\nEpoch 62/1000 | Train Loss: 0.1368 | Val Loss: 0.3652\nEarlyStopping counter: 53 out of 100\nEpoch 63/1000 | Train Loss: 0.2860 | Val Loss: 0.3647\nEarlyStopping counter: 54 out of 100\nEpoch 64/1000 | Train Loss: 0.2122 | Val Loss: 0.3646\nEarlyStopping counter: 55 out of 100\nEpoch 65/1000 | Train Loss: 0.1454 | Val Loss: 0.3643\nEarlyStopping counter: 56 out of 100\nEpoch 66/1000 | Train Loss: 0.1416 | Val Loss: 0.3638\nEarlyStopping counter: 57 out of 100\nEpoch 67/1000 | Train Loss: 0.1814 | Val Loss: 0.3636\nEarlyStopping counter: 58 out of 100\nEpoch 68/1000 | Train Loss: 0.1263 | Val Loss: 0.3633\nEarlyStopping counter: 59 out of 100\nEpoch 69/1000 | Train Loss: 0.1718 | Val Loss: 0.3630\nEarlyStopping counter: 60 out of 100\nEpoch 70/1000 | Train Loss: 0.2136 | Val Loss: 0.3628\nEarlyStopping counter: 61 out of 100\nEpoch 71/1000 | Train Loss: 0.1547 | Val Loss: 0.3628\nEarlyStopping counter: 62 out of 100\nEpoch 72/1000 | Train Loss: 0.1607 | Val Loss: 0.3629\nEarlyStopping counter: 63 out of 100\nEpoch 73/1000 | Train Loss: 0.1622 | Val Loss: 0.3627\nEarlyStopping counter: 64 out of 100\nEpoch 74/1000 | Train Loss: 0.2491 | Val Loss: 0.3625\nEarlyStopping counter: 65 out of 100\nEpoch 75/1000 | Train Loss: 0.2286 | Val Loss: 0.3623\nEarlyStopping counter: 66 out of 100\nEpoch 76/1000 | Train Loss: 0.1922 | Val Loss: 0.3621\nEarlyStopping counter: 67 out of 100\nEpoch 77/1000 | Train Loss: 0.1895 | Val Loss: 0.3619\nEarlyStopping counter: 68 out of 100\nEpoch 78/1000 | Train Loss: 0.2639 | Val Loss: 0.3616\nEarlyStopping counter: 69 out of 100\nEpoch 79/1000 | Train Loss: 0.1844 | Val Loss: 0.3614\nEarlyStopping counter: 70 out of 100\nEpoch 80/1000 | Train Loss: 0.1333 | Val Loss: 0.3611\nEarlyStopping counter: 71 out of 100\nEpoch 81/1000 | Train Loss: 0.1992 | Val Loss: 0.3608\nEarlyStopping counter: 72 out of 100\nEpoch 82/1000 | Train Loss: 0.1929 | Val Loss: 0.3606\nEarlyStopping counter: 73 out of 100\nEpoch 83/1000 | Train Loss: 0.1642 | Val Loss: 0.3606\nEarlyStopping counter: 74 out of 100\nEpoch 84/1000 | Train Loss: 0.1669 | Val Loss: 0.3606\nEarlyStopping counter: 75 out of 100\nEpoch 85/1000 | Train Loss: 0.2096 | Val Loss: 0.3605\nEarlyStopping counter: 76 out of 100\nEpoch 86/1000 | Train Loss: 0.2309 | Val Loss: 0.3605\nEarlyStopping counter: 77 out of 100\nEpoch 87/1000 | Train Loss: 0.1395 | Val Loss: 0.3604\nEarlyStopping counter: 78 out of 100\nEpoch 88/1000 | Train Loss: 0.1566 | Val Loss: 0.3604\nEarlyStopping counter: 79 out of 100\nEpoch 89/1000 | Train Loss: 0.2149 | Val Loss: 0.3604\nEarlyStopping counter: 80 out of 100\nEpoch 90/1000 | Train Loss: 0.1718 | Val Loss: 0.3604\nEarlyStopping counter: 81 out of 100\nEpoch 91/1000 | Train Loss: 0.1549 | Val Loss: 0.3604\nEarlyStopping counter: 82 out of 100\nEpoch 92/1000 | Train Loss: 0.1507 | Val Loss: 0.3604\nEarlyStopping counter: 83 out of 100\nEpoch 93/1000 | Train Loss: 0.2201 | Val Loss: 0.3604\nEarlyStopping counter: 84 out of 100\nEpoch 94/1000 | Train Loss: 0.1577 | Val Loss: 0.3604\nEarlyStopping counter: 85 out of 100\nEpoch 95/1000 | Train Loss: 0.1391 | Val Loss: 0.3604\nEarlyStopping counter: 86 out of 100\nEpoch 96/1000 | Train Loss: 0.1837 | Val Loss: 0.3604\nEarlyStopping counter: 87 out of 100\nEpoch 97/1000 | Train Loss: 0.2276 | Val Loss: 0.3604\nEarlyStopping counter: 88 out of 100\nEpoch 98/1000 | Train Loss: 0.1600 | Val Loss: 0.3604\nEarlyStopping counter: 89 out of 100\nEpoch 99/1000 | Train Loss: 0.1769 | Val Loss: 0.3604\nEarlyStopping counter: 90 out of 100\nEpoch 100/1000 | Train Loss: 0.1468 | Val Loss: 0.3604\nEarlyStopping counter: 91 out of 100\nEpoch 101/1000 | Train Loss: 0.1664 | Val Loss: 0.3604\nEarlyStopping counter: 92 out of 100\nEpoch 102/1000 | Train Loss: 0.1773 | Val Loss: 0.3604\nEarlyStopping counter: 93 out of 100\nEpoch 103/1000 | Train Loss: 0.1434 | Val Loss: 0.3604\nEarlyStopping counter: 94 out of 100\nEpoch 104/1000 | Train Loss: 0.1229 | Val Loss: 0.3604\nEarlyStopping counter: 95 out of 100\nEpoch 105/1000 | Train Loss: 0.1384 | Val Loss: 0.3604\nEarlyStopping counter: 96 out of 100\nEpoch 106/1000 | Train Loss: 0.3129 | Val Loss: 0.3604\nEarlyStopping counter: 97 out of 100\nEpoch 107/1000 | Train Loss: 0.1794 | Val Loss: 0.3604\nEarlyStopping counter: 98 out of 100\nEpoch 108/1000 | Train Loss: 0.1832 | Val Loss: 0.3604\nEarlyStopping counter: 99 out of 100\nEpoch 109/1000 | Train Loss: 0.1654 | Val Loss: 0.3604\nEarlyStopping counter: 100 out of 100\nEarly stopping\n开始验证...\n\n单价 评估:\nR2 Score: -4.8442\nMSE: 46.7786\nMAE: 6.69\n\n部分预测值 VS 真实值:\n预测: 单价=9.34 真实: 单价=15.88\n预测: 单价=8.33 真实: 单价=15.81\n预测: 单价=7.88 真实: 单价=14.55\n预测: 单价=8.24 真实: 单价=14.66\n预测: 单价=8.28 真实: 单价=15.19\n预测: 单价=8.16 真实: 单价=15.35\n预测: 单价=9.36 真实: 单价=16.17\n预测: 单价=7.52 真实: 单价=14.05\n预测: 单价=7.14 真实: 单价=16.63\n预测: 单价=7.80 真实: 单价=15.54\n✅ 模型和预处理器已成功保存！\n"
},
{
"scriptName": "Trade_Transformer_LSTM_quantity.py",
"status": "SUCCESS",
"startTime": "2025-11-19T15:57:16.9815896",
"endTime": "2025-11-19T15:57:32.9307437",
"duration": 15,
"errorMessage": null,
"output": "成功使用 gbk 编码读取文件\nCSV 文件列名: ['数据年月', '贸易伙伴编码', '贸易伙伴名称', '商品编码', '商品名称', '贸易方式编码', '贸易方式名称', '注册地编码', '注册地名称', '数量', '计量单位', '人民币', '单价']\n列名类型: ['str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str']\n匹配成功: '数据年月' <- '数据年月'\n匹配成功: '贸易伙伴编码' <- '贸易伙伴编码'\n匹配成功: '商品编码' <- '商品编码'\n匹配成功: '贸易方式编码' <- '贸易方式编码'\n匹配成功: '注册地编码' <- '注册地编码'\n匹配成功: '计量单位' <- '计量单位'\n匹配成功: '数量' <- '数量'\n匹配成功: '人民币' <- '人民币'\n列名映射完成: {'数据年月': '数据年月', '贸易伙伴编码': '贸易伙伴编码', '商品编码': '商品编码', '贸易方式编码': '贸易方式编码', '注册地编码': '注册地编码', '计量单位': '计量单位', '数量': '数量', '人民币': '人民币'}\n开始训练...\nEpoch 1/150 | Train Loss: 0.9965 | Val Loss: 10.8153\nValidation loss decreased (inf --> 10.815322). Saving model...\nEpoch 2/150 | Train Loss: 4.2607 | Val Loss: 0.3551\nValidation loss decreased (10.815322 --> 0.355112). Saving model...\nEpoch 3/150 | Train Loss: 1.6425 | Val Loss: 0.7554\nEarlyStopping counter: 1 out of 100\nEpoch 4/150 | Train Loss: 0.9880 | Val Loss: 3.0505\nEarlyStopping counter: 2 out of 100\nEpoch 5/150 | Train Loss: 1.5107 | Val Loss: 2.7053\nEarlyStopping counter: 3 out of 100\nEpoch 6/150 | Train Loss: 1.3784 | Val Loss: 1.2507\nEarlyStopping counter: 4 out of 100\nEpoch 7/150 | Train Loss: 0.8437 | Val Loss: 0.6219\nEarlyStopping counter: 5 out of 100\nEpoch 8/150 | Train Loss: 1.2738 | Val Loss: 0.6155\nEarlyStopping counter: 6 out of 100\nEpoch 9/150 | Train Loss: 1.1147 | Val Loss: 0.7965\nEarlyStopping counter: 7 out of 100\nEpoch 10/150 | Train Loss: 1.0720 | Val Loss: 1.1800\nEarlyStopping counter: 8 out of 100\nEpoch 11/150 | Train Loss: 1.0495 | Val Loss: 1.6634\nEarlyStopping counter: 9 out of 100\nEpoch 12/150 | Train Loss: 0.9842 | Val Loss: 2.0415\nEarlyStopping counter: 10 out of 100\nEpoch 13/150 | Train Loss: 1.0266 | Val Loss: 1.9014\nEarlyStopping counter: 11 out of 100\nEpoch 14/150 | Train Loss: 0.7541 | Val Loss: 1.3588\nEarlyStopping counter: 12 out of 100\nEpoch 15/150 | Train Loss: 0.8087 | Val Loss: 1.0704\nEarlyStopping counter: 13 out of 100\nEpoch 16/150 | Train Loss: 0.8152 | Val Loss: 0.8514\nEarlyStopping counter: 14 out of 100\nEpoch 17/150 | Train Loss: 0.7322 | Val Loss: 0.6302\nEarlyStopping counter: 15 out of 100\nEpoch 18/150 | Train Loss: 0.7051 | Val Loss: 0.5261\nEarlyStopping counter: 16 out of 100\nEpoch 19/150 | Train Loss: 0.7573 | Val Loss: 0.5133\nEarlyStopping counter: 17 out of 100\nEpoch 20/150 | Train Loss: 0.5415 | Val Loss: 0.5784\nEarlyStopping counter: 18 out of 100\nEpoch 21/150 | Train Loss: 0.4739 | Val Loss: 0.6473\nEarlyStopping counter: 19 out of 100\nEpoch 22/150 | Train Loss: 0.3130 | Val Loss: 0.7694\nEarlyStopping counter: 20 out of 100\nEpoch 23/150 | Train Loss: 0.4003 | Val Loss: 0.9802\nEarlyStopping counter: 21 out of 100\nEpoch 24/150 | Train Loss: 0.2740 | Val Loss: 1.1958\nEarlyStopping counter: 22 out of 100\nEpoch 25/150 | Train Loss: 0.3107 | Val Loss: 1.4125\nEarlyStopping counter: 23 out of 100\nEpoch 26/150 | Train Loss: 0.2095 | Val Loss: 1.5539\nEarlyStopping counter: 24 out of 100\nEpoch 27/150 | Train Loss: 0.3930 | Val Loss: 1.5801\nEarlyStopping counter: 25 out of 100\nEpoch 28/150 | Train Loss: 0.4574 | Val Loss: 1.5759\nEarlyStopping counter: 26 out of 100\nEpoch 29/150 | Train Loss: 0.2549 | Val Loss: 1.5167\nEarlyStopping counter: 27 out of 100\nEpoch 30/150 | Train Loss: 0.3517 | Val Loss: 1.4516\nEarlyStopping counter: 28 out of 100\nEpoch 31/150 | Train Loss: 0.2891 | Val Loss: 1.3942\nEarlyStopping counter: 29 out of 100\nEpoch 32/150 | Train Loss: 0.3948 | Val Loss: 1.3317\nEarlyStopping counter: 30 out of 100\nEpoch 33/150 | Train Loss: 0.4114 | Val Loss: 1.3220\nEarlyStopping counter: 31 out of 100\nEpoch 34/150 | Train Loss: 0.2848 | Val Loss: 1.3269\nEarlyStopping counter: 32 out of 100\nEpoch 35/150 | Train Loss: 0.1681 | Val Loss: 1.3470\nEarlyStopping counter: 33 out of 100\nEpoch 36/150 | Train Loss: 0.3209 | Val Loss: 1.3646\nEarlyStopping counter: 34 out of 100\nEpoch 37/150 | Train Loss: 0.2155 | Val Loss: 1.3889\nEarlyStopping counter: 35 out of 100\nEpoch 38/150 | Train Loss: 0.2587 | Val Loss: 1.4127\nEarlyStopping counter: 36 out of 100\nEpoch 39/150 | Train Loss: 0.3260 | Val Loss: 1.4275\nEarlyStopping counter: 37 out of 100\nEpoch 40/150 | Train Loss: 0.3474 | Val Loss: 1.4410\nEarlyStopping counter: 38 out of 100\nEpoch 41/150 | Train Loss: 0.2147 | Val Loss: 1.4559\nEarlyStopping counter: 39 out of 100\nEpoch 42/150 | Train Loss: 0.2895 | Val Loss: 1.4690\nEarlyStopping counter: 40 out of 100\nEpoch 43/150 | Train Loss: 0.2454 | Val Loss: 1.4719\nEarlyStopping counter: 41 out of 100\nEpoch 44/150 | Train Loss: 0.3020 | Val Loss: 1.4820\nEarlyStopping counter: 42 out of 100\nEpoch 45/150 | Train Loss: 0.3382 | Val Loss: 1.4891\nEarlyStopping counter: 43 out of 100\nEpoch 46/150 | Train Loss: 0.2673 | Val Loss: 1.4925\nEarlyStopping counter: 44 out of 100\nEpoch 47/150 | Train Loss: 0.1607 | Val Loss: 1.4995\nEarlyStopping counter: 45 out of 100\nEpoch 48/150 | Train Loss: 0.1371 | Val Loss: 1.5053\nEarlyStopping counter: 46 out of 100\nEpoch 49/150 | Train Loss: 0.1992 | Val Loss: 1.5130\nEarlyStopping counter: 47 out of 100\nEpoch 50/150 | Train Loss: 0.1313 | Val Loss: 1.5208\nEarlyStopping counter: 48 out of 100\nEpoch 51/150 | Train Loss: 0.3756 | Val Loss: 1.5245\nEarlyStopping counter: 49 out of 100\nEpoch 52/150 | Train Loss: 0.2058 | Val Loss: 1.5285\nEarlyStopping counter: 50 out of 100\nEpoch 53/150 | Train Loss: 0.2075 | Val Loss: 1.5311\nEarlyStopping counter: 51 out of 100\nEpoch 54/150 | Train Loss: 0.2441 | Val Loss: 1.5339\nEarlyStopping counter: 52 out of 100\nEpoch 55/150 | Train Loss: 0.2008 | Val Loss: 1.5372\nEarlyStopping counter: 53 out of 100\nEpoch 56/150 | Train Loss: 0.3708 | Val Loss: 1.5402\nEarlyStopping counter: 54 out of 100\nEpoch 57/150 | Train Loss: 0.3377 | Val Loss: 1.5421\nEarlyStopping counter: 55 out of 100\nEpoch 58/150 | Train Loss: 0.1478 | Val Loss: 1.5445\nEarlyStopping counter: 56 out of 100\nEpoch 59/150 | Train Loss: 0.1669 | Val Loss: 1.5458\nEarlyStopping counter: 57 out of 100\nEpoch 60/150 | Train Loss: 0.1894 | Val Loss: 1.5468\nEarlyStopping counter: 58 out of 100\nEpoch 61/150 | Train Loss: 0.2483 | Val Loss: 1.5481\nEarlyStopping counter: 59 out of 100\nEpoch 62/150 | Train Loss: 0.2033 | Val Loss: 1.5494\nEarlyStopping counter: 60 out of 100\nEpoch 63/150 | Train Loss: 0.3521 | Val Loss: 1.5496\nEarlyStopping counter: 61 out of 100\nEpoch 64/150 | Train Loss: 0.1654 | Val Loss: 1.5503\nEarlyStopping counter: 62 out of 100\nEpoch 65/150 | Train Loss: 0.2173 | Val Loss: 1.5512\nEarlyStopping counter: 63 out of 100\nEpoch 66/150 | Train Loss: 0.2607 | Val Loss: 1.5523\nEarlyStopping counter: 64 out of 100\nEpoch 67/150 | Train Loss: 0.1527 | Val Loss: 1.5536\nEarlyStopping counter: 65 out of 100\nEpoch 68/150 | Train Loss: 0.2283 | Val Loss: 1.5547\nEarlyStopping counter: 66 out of 100\nEpoch 69/150 | Train Loss: 0.2257 | Val Loss: 1.5552\nEarlyStopping counter: 67 out of 100\nEpoch 70/150 | Train Loss: 0.1699 | Val Loss: 1.5558\nEarlyStopping counter: 68 out of 100\nEpoch 71/150 | Train Loss: 0.1112 | Val Loss: 1.5562\nEarlyStopping counter: 69 out of 100\nEpoch 72/150 | Train Loss: 0.2038 | Val Loss: 1.5566\nEarlyStopping counter: 70 out of 100\nEpoch 73/150 | Train Loss: 0.2685 | Val Loss: 1.5568\nEarlyStopping counter: 71 out of 100\nEpoch 74/150 | Train Loss: 0.2864 | Val Loss: 1.5571\nEarlyStopping counter: 72 out of 100\nEpoch 75/150 | Train Loss: 0.2275 | Val Loss: 1.5573\nEarlyStopping counter: 73 out of 100\nEpoch 76/150 | Train Loss: 0.2598 | Val Loss: 1.5574\nEarlyStopping counter: 74 out of 100\nEpoch 77/150 | Train Loss: 0.2355 | Val Loss: 1.5575\nEarlyStopping counter: 75 out of 100\nEpoch 78/150 | Train Loss: 0.2387 | Val Loss: 1.5576\nEarlyStopping counter: 76 out of 100\nEpoch 79/150 | Train Loss: 0.3535 | Val Loss: 1.5577\nEarlyStopping counter: 77 out of 100\nEpoch 80/150 | Train Loss: 0.1527 | Val Loss: 1.5579\nEarlyStopping counter: 78 out of 100\nEpoch 81/150 | Train Loss: 0.2655 | Val Loss: 1.5579\nEarlyStopping counter: 79 out of 100\nEpoch 82/150 | Train Loss: 0.2069 | Val Loss: 1.5579\nEarlyStopping counter: 80 out of 100\nEpoch 83/150 | Train Loss: 0.2199 | Val Loss: 1.5579\nEarlyStopping counter: 81 out of 100\nEpoch 84/150 | Train Loss: 0.1627 | Val Loss: 1.5578\nEarlyStopping counter: 82 out of 100\nEpoch 85/150 | Train Loss: 0.2673 | Val Loss: 1.5577\nEarlyStopping counter: 83 out of 100\nEpoch 86/150 | Train Loss: 0.2571 | Val Loss: 1.5577\nEarlyStopping counter: 84 out of 100\nEpoch 87/150 | Train Loss: 0.1673 | Val Loss: 1.5577\nEarlyStopping counter: 85 out of 100\nEpoch 88/150 | Train Loss: 0.2798 | Val Loss: 1.5577\nEarlyStopping counter: 86 out of 100\nEpoch 89/150 | Train Loss: 0.2675 | Val Loss: 1.5577\nEarlyStopping counter: 87 out of 100\nEpoch 90/150 | Train Loss: 0.2046 | Val Loss: 1.5577\nEarlyStopping counter: 88 out of 100\nEpoch 91/150 | Train Loss: 0.2293 | Val Loss: 1.5577\nEarlyStopping counter: 89 out of 100\nEpoch 92/150 | Train Loss: 0.1924 | Val Loss: 1.5578\nEarlyStopping counter: 90 out of 100\nEpoch 93/150 | Train Loss: 0.2726 | Val Loss: 1.5578\nEarlyStopping counter: 91 out of 100\nEpoch 94/150 | Train Loss: 0.1341 | Val Loss: 1.5578\nEarlyStopping counter: 92 out of 100\nEpoch 95/150 | Train Loss: 0.1922 | Val Loss: 1.5579\nEarlyStopping counter: 93 out of 100\nEpoch 96/150 | Train Loss: 0.2880 | Val Loss: 1.5579\nEarlyStopping counter: 94 out of 100\nEpoch 97/150 | Train Loss: 0.2831 | Val Loss: 1.5579\nEarlyStopping counter: 95 out of 100\nEpoch 98/150 | Train Loss: 0.1915 | Val Loss: 1.5580\nEarlyStopping counter: 96 out of 100\nEpoch 99/150 | Train Loss: 0.2517 | Val Loss: 1.5580\nEarlyStopping counter: 97 out of 100\nEpoch 100/150 | Train Loss: 0.2225 | Val Loss: 1.5580\nEarlyStopping counter: 98 out of 100\nEpoch 101/150 | Train Loss: 0.3645 | Val Loss: 1.5580\nEarlyStopping counter: 99 out of 100\nEpoch 102/150 | Train Loss: 0.1894 | Val Loss: 1.5580\nEarlyStopping counter: 100 out of 100\nEarly stopping\n开始验证...\n\n数量 评估:\nR2 Score: -674.9824\nMSE: 9017925.0000\nMAE: 1327.28\n部分预测值 VS 真实值:\n预测: 数量=-0.47 真实: 数量=179.00\n预测: 数量=7355.53 真实: 数量=8.00\n预测: 数量=23.59 真实: 数量=4.00\n预测: 数量=2.70 真实: 数量=3.00\n预测: 数量=186.92 真实: 数量=9.00\n预测: 数量=61.15 真实: 数量=300.00\n✅ 模型和预处理器已成功保存！\n"
},
{
"scriptName": "Trade_Transformer_LSTM_price.py",
"status": "SUCCESS",
"startTime": "2025-11-19T15:57:32.9307437",
"endTime": "2025-11-19T15:57:48.5796336",
"duration": 15,
"errorMessage": null,
"output": "成功使用 gbk 编码读取文件\nCSV 文件列名: ['数据年月', '贸易伙伴编码', '贸易伙伴名称', '商品编码', '商品名称', '贸易方式编码', '贸易方式名称', '注册地编码', '注册地名称', '数量', '计量单位', '人民币', '单价']\n列名类型: ['str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str', 'str']\n匹配成功: '数据年月' <- '数据年月'\n匹配成功: '贸易伙伴编码' <- '贸易伙伴编码'\n匹配成功: '商品编码' <- '商品编码'\n匹配成功: '贸易方式编码' <- '贸易方式编码'\n匹配成功: '注册地编码' <- '注册地编码'\n匹配成功: '计量单位' <- '计量单位'\n匹配成功: '数量' <- '数量'\n匹配成功: '人民币' <- '人民币'\n匹配成功: '单价' <- '单价'\n列名映射完成: {'数据年月': '数据年月', '贸易伙伴编码': '贸易伙伴编码', '商品编码': '商品编码', '贸易方式编码': '贸易方式编码', '注册地编码': '注册地编码', '计量单位': '计量单位', '数量': '数量', '人民币': '人民币', '单价': '单价'}\n开始训练...\nEpoch 1/1000 | Train Loss: 0.7916 | Val Loss: 29.6793\nValidation loss decreased (inf --> 29.679323). Saving model...\nEpoch 2/1000 | Train Loss: 12.4264 | Val Loss: 12.2769\nValidation loss decreased (29.679323 --> 12.276929). Saving model...\nEpoch 3/1000 | Train Loss: 4.8650 | Val Loss: 1.4500\nValidation loss decreased (12.276929 --> 1.449960). Saving model...\nEpoch 4/1000 | Train Loss: 0.2625 | Val Loss: 1.0492\nValidation loss decreased (1.449960 --> 1.049163). Saving model...\nEpoch 5/1000 | Train Loss: 0.8057 | Val Loss: 1.3430\nEarlyStopping counter: 1 out of 100\nEpoch 6/1000 | Train Loss: 0.3206 | Val Loss: 2.6432\nEarlyStopping counter: 2 out of 100\nEpoch 7/1000 | Train Loss: 0.4033 | Val Loss: 2.9416\nEarlyStopping counter: 3 out of 100\nEpoch 8/1000 | Train Loss: 0.3803 | Val Loss: 2.2875\nEarlyStopping counter: 4 out of 100\nEpoch 9/1000 | Train Loss: 0.3065 | Val Loss: 1.5144\nEarlyStopping counter: 5 out of 100\nEpoch 10/1000 | Train Loss: 0.3438 | Val Loss: 1.3831\nEarlyStopping counter: 6 out of 100\nEpoch 11/1000 | Train Loss: 0.4070 | Val Loss: 1.4843\nEarlyStopping counter: 7 out of 100\nEpoch 12/1000 | Train Loss: 0.3068 | Val Loss: 1.7356\nEarlyStopping counter: 8 out of 100\nEpoch 13/1000 | Train Loss: 0.3124 | Val Loss: 2.1549\nEarlyStopping counter: 9 out of 100\nEpoch 14/1000 | Train Loss: 0.3082 | Val Loss: 2.4964\nEarlyStopping counter: 10 out of 100\nEpoch 15/1000 | Train Loss: 0.2085 | Val Loss: 2.6357\nEarlyStopping counter: 11 out of 100\nEpoch 16/1000 | Train Loss: 0.3241 | Val Loss: 2.5597\nEarlyStopping counter: 12 out of 100\nEpoch 17/1000 | Train Loss: 0.3444 | Val Loss: 2.4721\nEarlyStopping counter: 13 out of 100\nEpoch 18/1000 | Train Loss: 0.2693 | Val Loss: 2.3324\nEarlyStopping counter: 14 out of 100\nEpoch 19/1000 | Train Loss: 0.3004 | Val Loss: 2.1648\nEarlyStopping counter: 15 out of 100\nEpoch 20/1000 | Train Loss: 0.2587 | Val Loss: 2.0781\nEarlyStopping counter: 16 out of 100\nEpoch 21/1000 | Train Loss: 0.3406 | Val Loss: 2.0215\nEarlyStopping counter: 17 out of 100\nEpoch 22/1000 | Train Loss: 0.3433 | Val Loss: 1.9701\nEarlyStopping counter: 18 out of 100\nEpoch 23/1000 | Train Loss: 0.2883 | Val Loss: 1.9687\nEarlyStopping counter: 19 out of 100\nEpoch 24/1000 | Train Loss: 0.2792 | Val Loss: 1.9721\nEarlyStopping counter: 20 out of 100\nEpoch 25/1000 | Train Loss: 0.2148 | Val Loss: 1.9954\nEarlyStopping counter: 21 out of 100\nEpoch 26/1000 | Train Loss: 0.2329 | Val Loss: 2.0162\nEarlyStopping counter: 22 out of 100\nEpoch 27/1000 | Train Loss: 0.2262 | Val Loss: 2.0427\nEarlyStopping counter: 23 out of 100\nEpoch 28/1000 | Train Loss: 0.2797 | Val Loss: 2.0785\nEarlyStopping counter: 24 out of 100\nEpoch 29/1000 | Train Loss: 0.2973 | Val Loss: 2.1006\nEarlyStopping counter: 25 out of 100\nEpoch 30/1000 | Train Loss: 0.2715 | Val Loss: 2.1164\nEarlyStopping counter: 26 out of 100\nEpoch 31/1000 | Train Loss: 0.2073 | Val Loss: 2.1337\nEarlyStopping counter: 27 out of 100\nEpoch 32/1000 | Train Loss: 0.2705 | Val Loss: 2.1471\nEarlyStopping counter: 28 out of 100\nEpoch 33/1000 | Train Loss: 0.2223 | Val Loss: 2.1598\nEarlyStopping counter: 29 out of 100\nEpoch 34/1000 | Train Loss: 0.2710 | Val Loss: 2.1674\nEarlyStopping counter: 30 out of 100\nEpoch 35/1000 | Train Loss: 0.2652 | Val Loss: 2.1691\nEarlyStopping counter: 31 out of 100\nEpoch 36/1000 | Train Loss: 0.2528 | Val Loss: 2.1652\nEarlyStopping counter: 32 out of 100\nEpoch 37/1000 | Train Loss: 0.2599 | Val Loss: 2.1627\nEarlyStopping counter: 33 out of 100\nEpoch 38/1000 | Train Loss: 0.2847 | Val Loss: 2.1578\nEarlyStopping counter: 34 out of 100\nEpoch 39/1000 | Train Loss: 0.2586 | Val Loss: 2.1536\nEarlyStopping counter: 35 out of 100\nEpoch 40/1000 | Train Loss: 0.2468 | Val Loss: 2.1481\nEarlyStopping counter: 36 out of 100\nEpoch 41/1000 | Train Loss: 0.2500 | Val Loss: 2.1457\nEarlyStopping counter: 37 out of 100\nEpoch 42/1000 | Train Loss: 0.2720 | Val Loss: 2.1439\nEarlyStopping counter: 38 out of 100\nEpoch 43/1000 | Train Loss: 0.1929 | Val Loss: 2.1436\nEarlyStopping counter: 39 out of 100\nEpoch 44/1000 | Train Loss: 0.2431 | Val Loss: 2.1435\nEarlyStopping counter: 40 out of 100\nEpoch 45/1000 | Train Loss: 0.2817 | Val Loss: 2.1428\nEarlyStopping counter: 41 out of 100\nEpoch 46/1000 | Train Loss: 0.2332 | Val Loss: 2.1409\nEarlyStopping counter: 42 out of 100\nEpoch 47/1000 | Train Loss: 0.3096 | Val Loss: 2.1393\nEarlyStopping counter: 43 out of 100\nEpoch 48/1000 | Train Loss: 0.2795 | Val Loss: 2.1380\nEarlyStopping counter: 44 out of 100\nEpoch 49/1000 | Train Loss: 0.2789 | Val Loss: 2.1368\nEarlyStopping counter: 45 out of 100\nEpoch 50/1000 | Train Loss: 0.2768 | Val Loss: 2.1353\nEarlyStopping counter: 46 out of 100\nEpoch 51/1000 | Train Loss: 0.3113 | Val Loss: 2.1334\nEarlyStopping counter: 47 out of 100\nEpoch 52/1000 | Train Loss: 0.3139 | Val Loss: 2.1311\nEarlyStopping counter: 48 out of 100\nEpoch 53/1000 | Train Loss: 0.2584 | Val Loss: 2.1298\nEarlyStopping counter: 49 out of 100\nEpoch 54/1000 | Train Loss: 0.2681 | Val Loss: 2.1287\nEarlyStopping counter: 50 out of 100\nEpoch 55/1000 | Train Loss: 0.2297 | Val Loss: 2.1278\nEarlyStopping counter: 51 out of 100\nEpoch 56/1000 | Train Loss: 0.2725 | Val Loss: 2.1265\nEarlyStopping counter: 52 out of 100\nEpoch 57/1000 | Train Loss: 0.3092 | Val Loss: 2.1254\nEarlyStopping counter: 53 out of 100\nEpoch 58/1000 | Train Loss: 0.2046 | Val Loss: 2.1242\nEarlyStopping counter: 54 out of 100\nEpoch 59/1000 | Train Loss: 0.2306 | Val Loss: 2.1239\nEarlyStopping counter: 55 out of 100\nEpoch 60/1000 | Train Loss: 0.3497 | Val Loss: 2.1236\nEarlyStopping counter: 56 out of 100\nEpoch 61/1000 | Train Loss: 0.3129 | Val Loss: 2.1236\nEarlyStopping counter: 57 out of 100\nEpoch 62/1000 | Train Loss: 0.2615 | Val Loss: 2.1238\nEarlyStopping counter: 58 out of 100\nEpoch 63/1000 | Train Loss: 0.2681 | Val Loss: 2.1240\nEarlyStopping counter: 59 out of 100\nEpoch 64/1000 | Train Loss: 0.2501 | Val Loss: 2.1242\nEarlyStopping counter: 60 out of 100\nEpoch 65/1000 | Train Loss: 0.3074 | Val Loss: 2.1244\nEarlyStopping counter: 61 out of 100\nEpoch 66/1000 | Train Loss: 0.2651 | Val Loss: 2.1244\nEarlyStopping counter: 62 out of 100\nEpoch 67/1000 | Train Loss: 0.2468 | Val Loss: 2.1245\nEarlyStopping counter: 63 out of 100\nEpoch 68/1000 | Train Loss: 0.2573 | Val Loss: 2.1246\nEarlyStopping counter: 64 out of 100\nEpoch 69/1000 | Train Loss: 0.2749 | Val Loss: 2.1248\nEarlyStopping counter: 65 out of 100\nEpoch 70/1000 | Train Loss: 0.2079 | Val Loss: 2.1250\nEarlyStopping counter: 66 out of 100\nEpoch 71/1000 | Train Loss: 0.2660 | Val Loss: 2.1252\nEarlyStopping counter: 67 out of 100\nEpoch 72/1000 | Train Loss: 0.2832 | Val Loss: 2.1253\nEarlyStopping counter: 68 out of 100\nEpoch 73/1000 | Train Loss: 0.2663 | Val Loss: 2.1255\nEarlyStopping counter: 69 out of 100\nEpoch 74/1000 | Train Loss: 0.1584 | Val Loss: 2.1256\nEarlyStopping counter: 70 out of 100\nEpoch 75/1000 | Train Loss: 0.2713 | Val Loss: 2.1256\nEarlyStopping counter: 71 out of 100\nEpoch 76/1000 | Train Loss: 0.2212 | Val Loss: 2.1257\nEarlyStopping counter: 72 out of 100\nEpoch 77/1000 | Train Loss: 0.2513 | Val Loss: 2.1257\nEarlyStopping counter: 73 out of 100\nEpoch 78/1000 | Train Loss: 0.2575 | Val Loss: 2.1258\nEarlyStopping counter: 74 out of 100\nEpoch 79/1000 | Train Loss: 0.2840 | Val Loss: 2.1258\nEarlyStopping counter: 75 out of 100\nEpoch 80/1000 | Train Loss: 0.3013 | Val Loss: 2.1259\nEarlyStopping counter: 76 out of 100\nEpoch 81/1000 | Train Loss: 0.2253 | Val Loss: 2.1259\nEarlyStopping counter: 77 out of 100\nEpoch 82/1000 | Train Loss: 0.3068 | Val Loss: 2.1260\nEarlyStopping counter: 78 out of 100\nEpoch 83/1000 | Train Loss: 0.3131 | Val Loss: 2.1261\nEarlyStopping counter: 79 out of 100\nEpoch 84/1000 | Train Loss: 0.2607 | Val Loss: 2.1261\nEarlyStopping counter: 80 out of 100\nEpoch 85/1000 | Train Loss: 0.2496 | Val Loss: 2.1261\nEarlyStopping counter: 81 out of 100\nEpoch 86/1000 | Train Loss: 0.2238 | Val Loss: 2.1262\nEarlyStopping counter: 82 out of 100\nEpoch 87/1000 | Train Loss: 0.2700 | Val Loss: 2.1262\nEarlyStopping counter: 83 out of 100\nEpoch 88/1000 | Train Loss: 0.3292 | Val Loss: 2.1262\nEarlyStopping counter: 84 out of 100\nEpoch 89/1000 | Train Loss: 0.2939 | Val Loss: 2.1262\nEarlyStopping counter: 85 out of 100\nEpoch 90/1000 | Train Loss: 0.3410 | Val Loss: 2.1262\nEarlyStopping counter: 86 out of 100\nEpoch 91/1000 | Train Loss: 0.3074 | Val Loss: 2.1261\nEarlyStopping counter: 87 out of 100\nEpoch 92/1000 | Train Loss: 0.2476 | Val Loss: 2.1261\nEarlyStopping counter: 88 out of 100\nEpoch 93/1000 | Train Loss: 0.2716 | Val Loss: 2.1261\nEarlyStopping counter: 89 out of 100\nEpoch 94/1000 | Train Loss: 0.2662 | Val Loss: 2.1261\nEarlyStopping counter: 90 out of 100\nEpoch 95/1000 | Train Loss: 0.2351 | Val Loss: 2.1261\nEarlyStopping counter: 91 out of 100\nEpoch 96/1000 | Train Loss: 0.2595 | Val Loss: 2.1261\nEarlyStopping counter: 92 out of 100\nEpoch 97/1000 | Train Loss: 0.3014 | Val Loss: 2.1261\nEarlyStopping counter: 93 out of 100\nEpoch 98/1000 | Train Loss: 0.3164 | Val Loss: 2.1261\nEarlyStopping counter: 94 out of 100\nEpoch 99/1000 | Train Loss: 0.2712 | Val Loss: 2.1261\nEarlyStopping counter: 95 out of 100\nEpoch 100/1000 | Train Loss: 0.3160 | Val Loss: 2.1261\nEarlyStopping counter: 96 out of 100\nEpoch 101/1000 | Train Loss: 0.3091 | Val Loss: 2.1261\nEarlyStopping counter: 97 out of 100\nEpoch 102/1000 | Train Loss: 0.1824 | Val Loss: 2.1261\nEarlyStopping counter: 98 out of 100\nEpoch 103/1000 | Train Loss: 0.3190 | Val Loss: 2.1261\nEarlyStopping counter: 99 out of 100\nEpoch 104/1000 | Train Loss: 0.2979 | Val Loss: 2.1261\nEarlyStopping counter: 100 out of 100\nEarly stopping\n开始验证...\n\n单价 评估:\nR2 Score: -0.4213\nMSE: 6582240.0000\nMAE: 1403.26\n\n部分预测值 VS 真实值:\n预测: 单价=28.67 真实: 单价=9.27\n预测: 单价=28.70 真实: 单价=196.25\n预测: 单价=28.71 真实: 单价=6077.75\n预测: 单价=29.21 真实: 单价=1624.00\n预测: 单价=29.02 真实: 单价=42.89\n预测: 单价=28.78 真实: 单价=603.72\n✅ 模型和预处理器已成功保存！\n"
},
{
"scriptName": "app.py",
"status": "SUCCESS",
"startTime": "2025-11-19T15:57:48.5806375",
"endTime": "2025-11-19T15:57:52.644144",
"duration": 4,
"errorMessage": null,
"output": "Flask 服务已启动: http://localhost:5000"
}
],
"errorMessage": null,
"progress": 100.0
}
]
|
