llama3 r2 results

logs/Llama3-8B-Chinese-Chat_epoch_0.txt

@@ -1,7 +1,7 @@
 loading env vars from: /common2/dh.huang.2023/code/logical-reasoning/.env
 Adding /common2/dh.huang.2023/code/logical-reasoning to sys.path
 loading /common2/dh.huang.2023/code/logical-reasoning/llm_toolkit/logical_reasoning_utils.py
-shenzhi-wang/Llama3-8B-Chinese-Chat None False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2.csv
+shenzhi-wang/Llama3-8B-Chinese-Chat None False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2_r2.csv
 (1) GPU = NVIDIA L40. Max memory = 44.309 GB.
 0.0 GB of memory reserved.
 loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: None
@@ -147,20 +147,11 @@ You are an expert in logical reasoning.<|eot_id|><|start_header_id|>user<|end_he
 
 
 Evaluating model: shenzhi-wang/Llama3-8B-Chinese-Chat
---------
-step 1: 不是。
---------
-step 2: 不是。
---------
-step 3: 不是。
---------
-step 4: 不是
---------
-step 5: 不是
+Batch output: ['不是。']
 (3) GPU = NVIDIA L40. Max memory = 44.309 GB.
 20.672 GB of memory reserved.
-      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-1750
-0  甄加索是自杀吗  ...                                                NaN 
+      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat_torch.bfloat16
+0  甄加索是自杀吗  ...                                                不是。
 
-[1 rows x 16 columns]
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logs/Llama3-8B-Chinese-Chat_epoch_1.txt

@@ -1,16 +1,16 @@
 loading env vars from: /common2/dh.huang.2023/code/logical-reasoning/.env
 Adding /common2/dh.huang.2023/code/logical-reasoning to sys.path
 loading /common2/dh.huang.2023/code/logical-reasoning/llm_toolkit/logical_reasoning_utils.py
-shenzhi-wang/Llama3-8B-Chinese-Chat llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-175 False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2.csv
+shenzhi-wang/Llama3-8B-Chinese-Chat llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-175 False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2_r2.csv
 (1) GPU = NVIDIA L40. Max memory = 44.309 GB.
 0.0 GB of memory reserved.
-loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-175
-07/22/2024 00:38:20 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
-07/22/2024 00:38:21 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
-07/22/2024 00:38:29 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
-07/22/2024 00:38:30 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).
-07/22/2024 00:38:30 - INFO - llamafactory.model.adapter - Loaded adapter(s): llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-175
-07/22/2024 00:38:30 - INFO - llamafactory.model.loader - all params: 8,030,261,248
+loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-175
+07/23/2024 05:13:30 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
+07/23/2024 05:13:30 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
+07/23/2024 05:13:48 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
+07/23/2024 05:13:48 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).
+07/23/2024 05:13:48 - INFO - llamafactory.model.adapter - Loaded adapter(s): llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-175
+07/23/2024 05:13:48 - INFO - llamafactory.model.loader - all params: 8,030,261,248
 (2) GPU = NVIDIA L40. Max memory = 44.309 GB.
 15.502 GB of memory reserved.
 loading train/test data files
@@ -157,20 +157,11 @@ You are an expert in logical reasoning.<|eot_id|><|start_header_id|>user<|end_he
 
 
 Evaluating model: shenzhi-wang/Llama3-8B-Chinese-Chat
---------
-step 1: 不是
---------
-step 2: 不是
---------
-step 3: 不是
---------
-step 4: 不是
---------
-step 5: 不是
+Batch output: ['不是']
 (3) GPU = NVIDIA L40. Max memory = 44.309 GB.
 21.307 GB of memory reserved.
-      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-1750
-0  甄加索是自杀吗  ...                                                NaN 
+      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint-175_torch.bfloat16
+0  甄加索是自杀吗  ...                                                 不是               
 
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+[1 rows x 7 columns]
+{'accuracy': 0.718, 'incorrect_ids': [7, 9, 15, 16, 17, 24, 28, 31, 32, 33, 34, 35, 36, 38, 43, 55, 58, 59, 63, 65, 66, 67, 71, 78, 81, 83, 86, 101, 102, 106, 108, 109, 110, 112, 115, 123, 124, 127, 128, 135, 137, 138, 139, 148, 150, 153, 156, 160, 161, 163, 164, 170, 171, 172, 174, 175, 179, 180, 188, 190, 199, 200, 202, 204, 209, 214, 224, 225, 227, 228, 229, 233, 234, 236, 240, 243, 245, 248, 250, 253, 259, 260, 263, 268, 271, 273, 276, 279, 289, 292, 293, 295, 299, 301, 304, 305, 307, 308, 314, 316, 317, 318, 321, 323, 325, 328, 330, 334, 335, 341, 348, 349, 350, 351, 352, 353, 354, 355, 356, 360, 362, 368, 370, 371, 372, 373, 374, 376, 377, 378, 386, 389, 395, 397, 402, 404, 409, 410, 416, 425, 428, 429, 430, 431, 438, 440, 445, 446, 447, 450, 454, 455, 456, 458, 459, 460, 465, 469, 470, 471, 472, 473, 476, 480, 483, 490, 492, 493, 494, 495, 497, 500, 501, 502, 504, 507, 508, 509, 510, 511, 512, 514, 517, 530, 531, 533, 536, 538, 540, 553, 560, 568, 570, 571, 578, 579, 581, 589, 591, 592, 593, 596, 597, 601, 612, 613, 614, 621, 625, 628, 629, 632, 636, 643, 644, 647, 651, 663, 665, 666, 667, 671, 678, 680, 682, 684, 686, 689, 701, 702, 709, 711, 721, 729, 730, 732, 734, 735, 739, 740, 741, 743, 752, 754, 758, 770, 771, 772, 774, 778, 779, 785, 788, 790, 791, 795, 798, 799, 802, 803, 805, 809, 816, 817, 818, 819, 820, 821, 823, 824, 828, 833, 840, 842, 843, 847, 857, 861, 866, 867, 869, 870, 873, 876, 884, 886, 888, 889, 890, 894, 901, 904, 906, 908, 912, 913, 916, 917, 927, 928, 929, 935, 937, 945, 952, 962, 964, 966, 969, 980, 986, 989, 991, 993, 994, 998, 1001, 1003, 1006, 1007, 1011, 1012, 1014, 1020, 1022, 1025, 1031, 1036, 1038, 1040, 1043, 1045, 1046, 1051, 1066, 1071, 1075, 1076, 1077, 1080, 1087, 1096, 1098, 1111, 1116, 1120, 1121, 1125, 1126, 1129, 1133, 1138, 1148, 1151, 1153, 1161, 1163, 1167, 1172, 1174, 1177, 1178, 1181, 1185, 1198, 1203, 1209, 1212, 1228, 1232, 1239, 1240, 1241, 1242, 1243, 1251, 1252, 1254, 1256, 1258, 1259, 1266, 1289, 1296, 1300, 1301, 1305, 1308, 1311, 1313, 1314, 1315, 1317, 1331, 1336, 1342, 1345, 1348, 1349, 1353, 1362, 1363, 1367, 1370, 1379, 1385, 1386, 1387, 1389, 1391, 1392, 1393, 1395, 1402, 1406, 1407, 1413, 1418, 1420, 1422, 1424, 1425, 1426, 1428, 1430, 1431, 1438, 1440, 1441, 1443, 1444, 1448, 1450, 1451, 1453, 1455, 1457, 1459, 1462, 1469, 1473, 1476, 1478, 1486, 1490, 1493, 1494, 1496, 1504, 1510, 1512, 1517, 1518, 1525, 1526, 1528, 1533, 1536, 1538, 1544, 1545, 1547, 1551, 1558, 1560, 1562, 1572, 1573, 1581, 1585, 1587, 1590, 1591, 1593, 1594, 1596, 1602, 1603, 1604, 1605, 1608, 1621, 1622, 1627, 1632, 1633, 1636, 1637, 1638, 1641, 1645, 1647, 1648, 1650, 1652, 1654, 1655, 1658, 1659, 1668, 1669, 1671, 1672, 1673, 1674, 1679, 1686, 1689, 1694, 1695, 1700, 1716, 1718, 1726, 1727, 1736, 1740, 1743, 1751, 1755, 1756, 1758, 1760, 1769, 1770, 1773, 1780, 1786, 1789, 1791, 1796, 1799, 1812, 1816, 1820, 1827, 1835, 1841, 1848, 1854, 1860, 1867, 1869, 1879, 1887, 1897, 1903, 1907, 1913, 1914, 1919, 1935, 1943, 1944, 1945, 1949, 1953, 1958, 1963, 1964, 1973, 1978, 1981, 1984, 1986, 1989, 1990, 1992, 1994, 1995, 2001, 2008, 2011, 2014, 2015, 2021, 2022, 2025, 2028, 2029, 2035, 2038, 2043, 2046, 2052, 2053, 2054, 2059, 2061, 2062, 2063, 2064, 2072, 2076, 2077, 2089, 2091, 2092, 2100, 2106, 2107, 2109, 2112, 2114, 2118, 2119, 2121, 2123, 2126, 2128, 2130, 2133, 2135, 2139, 2145, 2147, 2160, 2161, 2162, 2164, 2169, 2173, 2177, 2181, 2185, 2186, 2188, 2189, 2193, 2195, 2196, 2197, 2199, 2212, 2215, 2223, 2226, 2230, 2238, 2240, 2243, 2245, 2246, 2247, 2249, 2250, 2261, 2262, 2274, 2278, 2280, 2285, 2293, 2301, 2304, 2311, 2312, 2313, 2319, 2320, 2324, 2329, 2330, 2333, 2334, 2335, 2338, 2344, 2348, 2356, 2359, 2360, 2364, 2366, 2376, 2378, 2380, 2395, 2396, 2398, 2400, 2406, 2408, 2409, 2410, 2412, 2420, 2423, 2425, 2429, 2437, 2440, 2441, 2442, 2444, 2445, 2446, 2448, 2461, 2463, 2464, 2465, 2469, 2471, 2484, 2488, 2491, 2495, 2499, 2501, 2503, 2508, 2512, 2515, 2522, 2524, 2525, 2529, 2530, 2532, 2535, 2538, 2539, 2546, 2547, 2548, 2549, 2555, 2556, 2559, 2560, 2562, 2563, 2575, 2577, 2589, 2599, 2606, 2607, 2610, 2616, 2623, 2626, 2629, 2630, 2632, 2633, 2635, 2644, 2660, 2663, 2667, 2671, 2672, 2676, 2678, 2686, 2697, 2701, 2707, 2710, 2714, 2715, 2716, 2730, 2731, 2733, 2736, 2742, 2744, 2746, 2747, 2749, 2754, 2757, 2760, 2761, 2762, 2764, 2765, 2766, 2767, 2772, 2777, 2788, 2791, 2797, 2798, 2803, 2805, 2807, 2811, 2814, 2815, 2816, 2820, 2823, 2837, 2841, 2843, 2845, 2854, 2857, 2867, 2870, 2877, 2878, 2880, 2884, 2887, 2888, 2896, 2899, 2902, 2905, 2912, 2913, 2915, 2916, 2919, 2921, 2928, 2929, 2933, 2937, 2938, 2942, 2944, 2949, 2953, 2955, 2960, 2964, 2973, 2975, 2976, 2977, 2979, 2980, 2981, 2983, 2985, 2991, 2995, 2998, 2999]}

logs/Llama3-8B-Chinese-Chat_epoch_2.txt

@@ -1,16 +1,16 @@
 loading env vars from: /common2/dh.huang.2023/code/logical-reasoning/.env
 Adding /common2/dh.huang.2023/code/logical-reasoning to sys.path
 loading /common2/dh.huang.2023/code/logical-reasoning/llm_toolkit/logical_reasoning_utils.py
-shenzhi-wang/Llama3-8B-Chinese-Chat llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-350 False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2.csv
+shenzhi-wang/Llama3-8B-Chinese-Chat llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-350 False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2_r2.csv
 (1) GPU = NVIDIA L40. Max memory = 44.309 GB.
 0.0 GB of memory reserved.
-loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-350
-07/22/2024 00:47:43 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
-07/22/2024 00:47:43 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
-07/22/2024 00:47:52 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
-07/22/2024 00:47:53 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).
-07/22/2024 00:47:53 - INFO - llamafactory.model.adapter - Loaded adapter(s): llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-350
-07/22/2024 00:47:53 - INFO - llamafactory.model.loader - all params: 8,030,261,248
+loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-350
+07/23/2024 05:24:05 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
+07/23/2024 05:24:06 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
+07/23/2024 05:24:15 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
+07/23/2024 05:24:16 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).
+07/23/2024 05:24:16 - INFO - llamafactory.model.adapter - Loaded adapter(s): llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-350
+07/23/2024 05:24:16 - INFO - llamafactory.model.loader - all params: 8,030,261,248
 (2) GPU = NVIDIA L40. Max memory = 44.309 GB.
 15.502 GB of memory reserved.
 loading train/test data files
@@ -157,20 +157,11 @@ You are an expert in logical reasoning.<|eot_id|><|start_header_id|>user<|end_he
 
 
 Evaluating model: shenzhi-wang/Llama3-8B-Chinese-Chat
---------
-step 1: 不是
---------
-step 2: 不是
---------
-step 3: 不是
---------
-step 4: 不是
---------
-step 5: 不是
+Batch output: ['不是']
 (3) GPU = NVIDIA L40. Max memory = 44.309 GB.
 21.307 GB of memory reserved.
-      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-1750
-0  甄加索是自杀吗  ...                                                NaN 
+      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint-350_torch.bfloat16
+0  甄加索是自杀吗  ...                                                 不是               
 
-[1 rows x 16 columns]
-{'accuracy': 0.7286666666666667, 'incorrect_ids': [9, 17, 18, 24, 28, 31, 34, 35, 36, 37, 38, 43, 55, 58, 59, 65, 66, 67, 78, 83, 88, 102, 104, 108, 109, 110, 112, 115, 123, 135, 136, 138, 139, 143, 150, 153, 155, 156, 161, 163, 164, 170, 173, 174, 179, 180, 184, 190, 192, 193, 199, 200, 218, 224, 225, 227, 228, 233, 236, 237, 243, 245, 250, 253, 260, 261, 268, 273, 276, 279, 284, 289, 292, 293, 299, 304, 307, 308, 311, 321, 323, 326, 330, 332, 334, 335, 338, 349, 350, 351, 352, 353, 354, 355, 356, 357, 360, 362, 365, 368, 370, 371, 372, 373, 374, 377, 386, 389, 397, 404, 410, 416, 425, 428, 430, 432, 438, 440, 445, 446, 447, 450, 452, 454, 455, 456, 458, 461, 465, 471, 472, 473, 476, 479, 480, 492, 493, 494, 495, 501, 502, 506, 507, 508, 510, 511, 512, 514, 517, 530, 531, 536, 540, 553, 560, 568, 570, 571, 579, 581, 589, 591, 592, 593, 596, 597, 600, 601, 612, 613, 614, 621, 625, 626, 628, 629, 632, 636, 643, 644, 647, 657, 663, 665, 666, 678, 682, 684, 686, 690, 691, 695, 702, 709, 716, 719, 721, 729, 730, 731, 732, 734, 735, 739, 740, 741, 743, 754, 758, 766, 770, 771, 772, 774, 778, 779, 785, 788, 790, 791, 795, 798, 799, 801, 802, 803, 805, 809, 810, 817, 818, 819, 820, 821, 822, 823, 824, 828, 833, 840, 847, 849, 851, 857, 861, 866, 867, 869, 870, 873, 876, 884, 886, 888, 889, 890, 895, 901, 904, 912, 913, 916, 927, 929, 935, 937, 942, 945, 952, 962, 964, 966, 969, 980, 989, 991, 993, 994, 998, 1001, 1003, 1006, 1007, 1011, 1012, 1014, 1022, 1025, 1031, 1036, 1038, 1040, 1043, 1051, 1053, 1066, 1071, 1077, 1080, 1087, 1096, 1098, 1107, 1111, 1116, 1120, 1121, 1125, 1126, 1129, 1151, 1153, 1160, 1161, 1163, 1166, 1167, 1170, 1172, 1174, 1177, 1178, 1180, 1181, 1183, 1185, 1198, 1202, 1203, 1209, 1212, 1228, 1232, 1239, 1240, 1241, 1242, 1243, 1251, 1252, 1254, 1256, 1258, 1259, 1266, 1282, 1289, 1305, 1306, 1307, 1308, 1311, 1313, 1314, 1315, 1316, 1317, 1323, 1324, 1331, 1332, 1336, 1342, 1344, 1345, 1347, 1349, 1353, 1362, 1363, 1364, 1367, 1368, 1370, 1379, 1380, 1385, 1386, 1387, 1389, 1391, 1392, 1393, 1395, 1402, 1406, 1407, 1413, 1420, 1425, 1426, 1428, 1430, 1431, 1438, 1440, 1441, 1443, 1444, 1448, 1450, 1451, 1453, 1455, 1457, 1459, 1462, 1468, 1469, 1470, 1473, 1476, 1478, 1486, 1490, 1493, 1496, 1504, 1512, 1517, 1525, 1526, 1528, 1533, 1536, 1544, 1547, 1554, 1556, 1558, 1560, 1562, 1572, 1573, 1581, 1585, 1586, 1587, 1590, 1591, 1593, 1594, 1596, 1602, 1603, 1604, 1605, 1622, 1624, 1627, 1632, 1633, 1636, 1637, 1639, 1641, 1643, 1645, 1647, 1648, 1652, 1654, 1655, 1658, 1659, 1668, 1672, 1673, 1674, 1679, 1686, 1694, 1695, 1700, 1712, 1716, 1718, 1720, 1726, 1727, 1736, 1740, 1751, 1756, 1770, 1773, 1780, 1786, 1789, 1791, 1796, 1799, 1811, 1812, 1816, 1820, 1835, 1848, 1854, 1860, 1867, 1869, 1873, 1879, 1880, 1897, 1907, 1913, 1914, 1930, 1933, 1935, 1936, 1945, 1949, 1958, 1963, 1964, 1973, 1978, 1981, 1984, 1989, 1990, 1992, 1994, 1995, 1996, 2001, 2002, 2014, 2015, 2021, 2025, 2035, 2038, 2046, 2052, 2053, 2054, 2062, 2063, 2064, 2072, 2073, 2076, 2077, 2091, 2092, 2100, 2106, 2107, 2109, 2112, 2114, 2118, 2119, 2121, 2126, 2128, 2130, 2133, 2135, 2139, 2140, 2141, 2145, 2147, 2160, 2161, 2162, 2164, 2167, 2169, 2173, 2177, 2181, 2185, 2186, 2188, 2189, 2192, 2193, 2194, 2195, 2196, 2197, 2205, 2212, 2215, 2221, 2223, 2226, 2230, 2237, 2238, 2240, 2243, 2244, 2245, 2246, 2247, 2248, 2249, 2250, 2261, 2262, 2274, 2278, 2287, 2297, 2301, 2304, 2311, 2312, 2313, 2319, 2320, 2322, 2324, 2333, 2334, 2335, 2343, 2344, 2352, 2354, 2360, 2364, 2366, 2376, 2378, 2395, 2396, 2400, 2406, 2409, 2410, 2412, 2420, 2423, 2424, 2425, 2429, 2437, 2440, 2441, 2442, 2445, 2446, 2448, 2461, 2463, 2465, 2469, 2475, 2477, 2479, 2486, 2488, 2491, 2493, 2495, 2499, 2501, 2503, 2512, 2516, 2522, 2525, 2526, 2529, 2530, 2532, 2535, 2537, 2538, 2539, 2546, 2547, 2548, 2549, 2554, 2555, 2556, 2557, 2559, 2560, 2562, 2563, 2564, 2565, 2574, 2575, 2577, 2589, 2594, 2600, 2606, 2607, 2610, 2620, 2623, 2624, 2626, 2629, 2655, 2660, 2661, 2663, 2664, 2667, 2670, 2671, 2672, 2676, 2678, 2686, 2691, 2701, 2704, 2707, 2708, 2710, 2711, 2714, 2716, 2719, 2727, 2730, 2731, 2732, 2733, 2735, 2736, 2742, 2744, 2746, 2754, 2757, 2758, 2760, 2761, 2762, 2764, 2765, 2766, 2767, 2772, 2777, 2788, 2791, 2793, 2795, 2797, 2798, 2801, 2803, 2805, 2806, 2807, 2811, 2814, 2815, 2816, 2820, 2823, 2837, 2841, 2842, 2843, 2845, 2849, 2854, 2857, 2867, 2870, 2878, 2880, 2882, 2884, 2885, 2888, 2899, 2902, 2905, 2912, 2913, 2915, 2916, 2919, 2921, 2928, 2929, 2933, 2944, 2949, 2953, 2955, 2962, 2963, 2964, 2973, 2975, 2976, 2979, 2980, 2981, 2985, 2990, 2991, 2995, 2998, 2999]}
+[1 rows x 8 columns]
+{'accuracy': 0.7273333333333334, 'incorrect_ids': [5, 9, 17, 24, 25, 27, 28, 31, 32, 34, 36, 51, 55, 58, 59, 65, 66, 67, 71, 77, 78, 83, 88, 96, 101, 102, 104, 106, 108, 109, 112, 113, 115, 121, 123, 124, 127, 128, 136, 138, 139, 143, 150, 153, 155, 156, 161, 163, 164, 170, 173, 174, 175, 179, 180, 184, 190, 192, 193, 199, 200, 202, 214, 224, 225, 227, 228, 233, 234, 236, 243, 245, 250, 251, 252, 253, 257, 260, 261, 263, 265, 268, 269, 272, 273, 276, 279, 283, 284, 289, 290, 292, 293, 299, 301, 304, 305, 307, 308, 311, 314, 316, 317, 318, 321, 323, 325, 326, 328, 330, 332, 334, 335, 338, 348, 349, 350, 351, 352, 353, 354, 355, 356, 359, 360, 368, 372, 373, 376, 377, 378, 386, 389, 397, 404, 410, 414, 416, 425, 428, 429, 430, 431, 438, 440, 445, 446, 447, 450, 452, 454, 455, 456, 458, 459, 461, 465, 471, 472, 473, 476, 478, 480, 490, 492, 493, 494, 495, 501, 502, 504, 506, 507, 510, 511, 512, 514, 516, 517, 520, 530, 531, 536, 540, 553, 555, 560, 568, 570, 571, 578, 579, 581, 589, 591, 592, 593, 596, 597, 601, 612, 613, 614, 621, 625, 626, 628, 629, 632, 636, 643, 644, 647, 663, 665, 666, 671, 673, 674, 682, 684, 686, 689, 690, 691, 695, 702, 721, 722, 729, 730, 732, 734, 735, 739, 740, 741, 747, 752, 754, 758, 766, 770, 771, 772, 774, 778, 779, 785, 788, 791, 795, 798, 799, 801, 805, 809, 816, 817, 818, 819, 820, 821, 822, 823, 824, 828, 833, 837, 840, 842, 843, 847, 849, 851, 852, 857, 866, 867, 869, 870, 876, 884, 886, 888, 889, 890, 895, 897, 901, 904, 913, 916, 927, 928, 935, 937, 953, 964, 966, 969, 980, 982, 986, 991, 993, 994, 998, 1001, 1003, 1006, 1011, 1012, 1014, 1022, 1028, 1031, 1036, 1038, 1039, 1040, 1043, 1051, 1053, 1061, 1066, 1069, 1075, 1077, 1079, 1080, 1082, 1087, 1096, 1098, 1107, 1111, 1120, 1121, 1125, 1126, 1141, 1143, 1151, 1153, 1161, 1163, 1164, 1166, 1172, 1174, 1177, 1178, 1180, 1181, 1183, 1185, 1198, 1203, 1209, 1212, 1220, 1228, 1232, 1239, 1241, 1242, 1251, 1252, 1254, 1256, 1258, 1259, 1266, 1274, 1289, 1292, 1296, 1305, 1308, 1311, 1313, 1314, 1315, 1316, 1317, 1322, 1331, 1342, 1349, 1353, 1363, 1364, 1367, 1370, 1378, 1379, 1386, 1387, 1389, 1391, 1395, 1400, 1402, 1406, 1409, 1412, 1420, 1422, 1426, 1428, 1430, 1431, 1439, 1440, 1441, 1443, 1450, 1451, 1452, 1453, 1454, 1455, 1457, 1462, 1469, 1473, 1476, 1478, 1485, 1486, 1490, 1491, 1496, 1500, 1512, 1515, 1516, 1517, 1518, 1525, 1526, 1528, 1533, 1536, 1544, 1545, 1547, 1550, 1554, 1558, 1560, 1562, 1568, 1573, 1580, 1581, 1585, 1587, 1590, 1591, 1593, 1594, 1602, 1603, 1604, 1605, 1607, 1613, 1622, 1624, 1625, 1627, 1632, 1633, 1636, 1637, 1638, 1648, 1654, 1655, 1656, 1658, 1659, 1668, 1672, 1673, 1674, 1679, 1686, 1695, 1716, 1718, 1720, 1726, 1727, 1736, 1738, 1740, 1741, 1743, 1751, 1753, 1756, 1758, 1765, 1769, 1770, 1780, 1786, 1791, 1796, 1799, 1810, 1811, 1812, 1816, 1820, 1824, 1827, 1834, 1835, 1848, 1852, 1854, 1856, 1867, 1869, 1879, 1887, 1888, 1890, 1897, 1913, 1919, 1928, 1931, 1934, 1935, 1936, 1938, 1944, 1945, 1949, 1953, 1958, 1959, 1963, 1964, 1973, 1978, 1981, 1984, 1989, 1990, 1992, 1995, 2014, 2015, 2017, 2021, 2028, 2029, 2035, 2038, 2043, 2046, 2053, 2054, 2062, 2063, 2064, 2072, 2076, 2077, 2078, 2081, 2085, 2088, 2092, 2100, 2106, 2107, 2109, 2112, 2114, 2118, 2119, 2121, 2126, 2133, 2135, 2139, 2141, 2145, 2147, 2160, 2161, 2162, 2164, 2167, 2169, 2173, 2177, 2181, 2185, 2186, 2192, 2193, 2194, 2196, 2199, 2204, 2212, 2215, 2223, 2226, 2230, 2237, 2238, 2240, 2243, 2245, 2246, 2247, 2250, 2261, 2262, 2274, 2278, 2285, 2287, 2290, 2297, 2301, 2304, 2311, 2312, 2313, 2319, 2320, 2324, 2334, 2337, 2348, 2354, 2364, 2366, 2372, 2378, 2395, 2396, 2400, 2404, 2406, 2408, 2409, 2410, 2412, 2420, 2421, 2423, 2425, 2426, 2429, 2437, 2440, 2441, 2442, 2444, 2445, 2446, 2448, 2461, 2463, 2464, 2465, 2469, 2472, 2475, 2486, 2488, 2499, 2501, 2503, 2511, 2512, 2515, 2517, 2522, 2525, 2526, 2529, 2530, 2532, 2535, 2538, 2539, 2546, 2548, 2549, 2555, 2556, 2557, 2559, 2560, 2562, 2575, 2577, 2589, 2592, 2594, 2600, 2605, 2606, 2607, 2610, 2616, 2623, 2626, 2629, 2633, 2660, 2663, 2664, 2666, 2667, 2672, 2676, 2678, 2686, 2701, 2707, 2710, 2713, 2714, 2716, 2719, 2727, 2730, 2731, 2732, 2736, 2742, 2744, 2746, 2754, 2757, 2758, 2760, 2761, 2762, 2764, 2766, 2767, 2772, 2777, 2788, 2791, 2793, 2797, 2798, 2800, 2801, 2803, 2805, 2807, 2810, 2811, 2812, 2814, 2815, 2816, 2820, 2823, 2824, 2833, 2837, 2843, 2851, 2854, 2857, 2867, 2870, 2873, 2877, 2878, 2880, 2882, 2884, 2899, 2902, 2905, 2912, 2913, 2915, 2916, 2921, 2928, 2930, 2933, 2937, 2942, 2944, 2949, 2953, 2955, 2960, 2964, 2968, 2975, 2976, 2979, 2980, 2985, 2995, 2998, 2999]}

logs/Llama3-8B-Chinese-Chat_epoch_3.txt

@@ -1,16 +1,16 @@
 loading env vars from: /common2/dh.huang.2023/code/logical-reasoning/.env
 Adding /common2/dh.huang.2023/code/logical-reasoning to sys.path
 loading /common2/dh.huang.2023/code/logical-reasoning/llm_toolkit/logical_reasoning_utils.py
-shenzhi-wang/Llama3-8B-Chinese-Chat llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-525 False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2.csv
+shenzhi-wang/Llama3-8B-Chinese-Chat llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-525 False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2_r2.csv
 (1) GPU = NVIDIA L40. Max memory = 44.309 GB.
 0.0 GB of memory reserved.
-loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-525
-07/22/2024 00:57:39 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
-07/22/2024 00:57:40 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
-07/22/2024 00:57:48 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
-07/22/2024 00:57:49 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).
-07/22/2024 00:57:49 - INFO - llamafactory.model.adapter - Loaded adapter(s): llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-525
-07/22/2024 00:57:49 - INFO - llamafactory.model.loader - all params: 8,030,261,248
+loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-525
+07/23/2024 05:34:29 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
+07/23/2024 05:34:29 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
+07/23/2024 05:34:47 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
+07/23/2024 05:34:47 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).
+07/23/2024 05:34:47 - INFO - llamafactory.model.adapter - Loaded adapter(s): llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-525
+07/23/2024 05:34:47 - INFO - llamafactory.model.loader - all params: 8,030,261,248
 (2) GPU = NVIDIA L40. Max memory = 44.309 GB.
 15.502 GB of memory reserved.
 loading train/test data files
@@ -157,20 +157,11 @@ You are an expert in logical reasoning.<|eot_id|><|start_header_id|>user<|end_he
 
 
 Evaluating model: shenzhi-wang/Llama3-8B-Chinese-Chat
---------
-step 1: 不是
---------
-step 2: 不是
---------
-step 3: 不是
---------
-step 4: 不是
---------
-step 5: 不是
+Batch output: ['不是']
 (3) GPU = NVIDIA L40. Max memory = 44.309 GB.
 21.307 GB of memory reserved.
-      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-1750
-0  甄加索是自杀吗  ...                                                NaN 
+      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint-525_torch.bfloat16
+0  甄加索是自杀吗  ...                                                 不是               
 
-[1 rows x 16 columns]
-{'accuracy': 0.698, 'incorrect_ids': [2, 9, 17, 18, 24, 25, 31, 32, 33, 34, 35, 36, 37, 38, 55, 58, 59, 65, 66, 67, 77, 78, 83, 88, 99, 104, 108, 109, 110, 112, 115, 123, 124, 135, 136, 139, 143, 150, 153, 156, 161, 163, 164, 173, 174, 179, 190, 193, 199, 200, 202, 222, 224, 225, 228, 236, 237, 243, 245, 248, 250, 252, 253, 259, 260, 261, 263, 268, 273, 276, 279, 283, 284, 292, 293, 295, 299, 304, 307, 308, 314, 316, 317, 318, 320, 321, 323, 330, 332, 334, 335, 338, 341, 343, 349, 350, 351, 352, 353, 354, 355, 356, 357, 359, 360, 362, 365, 368, 370, 371, 372, 373, 374, 377, 386, 389, 395, 396, 397, 404, 410, 414, 416, 425, 428, 430, 432, 438, 440, 445, 446, 447, 450, 452, 454, 455, 456, 458, 461, 465, 471, 472, 473, 476, 478, 480, 490, 492, 493, 494, 495, 497, 501, 502, 506, 507, 510, 511, 512, 514, 517, 520, 530, 531, 536, 540, 553, 560, 568, 570, 571, 576, 579, 581, 589, 591, 592, 593, 596, 597, 601, 612, 613, 614, 621, 625, 626, 628, 629, 632, 636, 643, 644, 647, 649, 663, 665, 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+[1 rows x 9 columns]
+{'accuracy': 0.6883333333333334, 'incorrect_ids': [9, 17, 18, 24, 25, 28, 29, 31, 32, 34, 36, 37, 55, 58, 59, 65, 66, 67, 71, 78, 79, 83, 88, 93, 96, 99, 101, 102, 104, 106, 108, 109, 112, 115, 117, 121, 124, 127, 139, 143, 150, 153, 155, 156, 159, 160, 161, 162, 163, 164, 170, 173, 174, 175, 188, 190, 192, 193, 199, 200, 202, 214, 222, 224, 225, 227, 230, 233, 234, 236, 243, 245, 247, 248, 250, 251, 252, 253, 257, 259, 260, 261, 263, 265, 266, 268, 272, 276, 283, 284, 286, 289, 290, 293, 296, 299, 301, 302, 304, 305, 307, 308, 309, 314, 316, 317, 318, 320, 321, 323, 325, 330, 332, 334, 335, 339, 340, 343, 348, 349, 350, 351, 353, 354, 355, 356, 359, 360, 361, 362, 368, 370, 372, 373, 374, 377, 378, 384, 386, 389, 397, 398, 404, 409, 410, 411, 414, 416, 421, 423, 425, 428, 430, 431, 432, 438, 445, 446, 447, 450, 454, 455, 457, 458, 459, 461, 465, 468, 471, 472, 473, 476, 478, 479, 480, 490, 492, 493, 494, 495, 501, 502, 504, 506, 507, 508, 511, 512, 514, 516, 517, 518, 530, 531, 536, 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logs/Llama3-8B-Chinese-Chat_epoch_4.txt

@@ -1,16 +1,16 @@
 loading env vars from: /common2/dh.huang.2023/code/logical-reasoning/.env
 Adding /common2/dh.huang.2023/code/logical-reasoning to sys.path
 loading /common2/dh.huang.2023/code/logical-reasoning/llm_toolkit/logical_reasoning_utils.py
-shenzhi-wang/Llama3-8B-Chinese-Chat llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-700 False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2.csv
+shenzhi-wang/Llama3-8B-Chinese-Chat llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-700 False datasets/mgtv results/llama3-8b_lora_sft_bf16-p2_r2.csv
 (1) GPU = NVIDIA L40. Max memory = 44.309 GB.
 0.0 GB of memory reserved.
-loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-700
-07/22/2024 01:07:36 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
-07/22/2024 01:07:36 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
-07/22/2024 01:07:45 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
-07/22/2024 01:07:45 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).
-07/22/2024 01:07:45 - INFO - llamafactory.model.adapter - Loaded adapter(s): llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full/checkpoint-700
-07/22/2024 01:07:45 - INFO - llamafactory.model.loader - all params: 8,030,261,248
+loading model: shenzhi-wang/Llama3-8B-Chinese-Chat with adapter: llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-700
+07/23/2024 05:45:07 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
+07/23/2024 05:45:07 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
+07/23/2024 05:45:24 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
+07/23/2024 05:45:24 - INFO - llamafactory.model.adapter - Merged 1 adapter(s).
+07/23/2024 05:45:24 - INFO - llamafactory.model.adapter - Loaded adapter(s): llama-factory/saves/llama3-8b/lora/sft_bf16_p2_full_r2/checkpoint-700
+07/23/2024 05:45:24 - INFO - llamafactory.model.loader - all params: 8,030,261,248
 (2) GPU = NVIDIA L40. Max memory = 44.309 GB.
 15.502 GB of memory reserved.
 loading train/test data files
@@ -157,20 +157,11 @@ You are an expert in logical reasoning.<|eot_id|><|start_header_id|>user<|end_he
 
 
 Evaluating model: shenzhi-wang/Llama3-8B-Chinese-Chat
---------
-step 1: 不是
---------
-step 2: 不是
---------
-step 3: 不是
---------
-step 4: 不是
---------
-step 5: 不是
+Batch output: ['不是']
 (3) GPU = NVIDIA L40. Max memory = 44.309 GB.
 21.307 GB of memory reserved.
-      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat_checkpoint-1750
-0  甄加索是自杀吗  ...                                                NaN 
+      text  ... shenzhi-wang/Llama3-8B-Chinese-Chat/checkpoint-700_torch.bfloat16
+0  甄加索是自杀吗  ...                                                 不是               
 
-[1 rows x 16 columns]
-{'accuracy': 0.7093333333333334, 'incorrect_ids': [6, 9, 16, 17, 18, 24, 25, 32, 33, 34, 35, 36, 38, 55, 58, 59, 60, 61, 65, 66, 67, 71, 78, 83, 88, 91, 99, 101, 104, 106, 108, 109, 110, 112, 115, 124, 127, 128, 135, 136, 139, 143, 150, 153, 155, 161, 163, 164, 170, 173, 174, 179, 180, 184, 188, 190, 193, 199, 200, 202, 216, 222, 224, 225, 228, 233, 234, 236, 243, 245, 248, 249, 250, 252, 253, 260, 261, 263, 268, 275, 279, 283, 284, 286, 289, 293, 294, 295, 304, 307, 308, 314, 316, 318, 320, 321, 323, 330, 332, 334, 335, 338, 339, 341, 343, 348, 349, 350, 351, 352, 353, 354, 355, 356, 359, 360, 365, 368, 370, 371, 372, 373, 374, 377, 386, 389, 395, 396, 397, 402, 404, 410, 416, 425, 428, 430, 431, 438, 445, 447, 450, 451, 452, 454, 455, 456, 458, 459, 461, 465, 470, 471, 472, 473, 476, 480, 488, 492, 493, 494, 495, 501, 502, 506, 507, 508, 510, 511, 512, 514, 517, 519, 520, 530, 531, 533, 536, 540, 560, 570, 571, 576, 579, 581, 589, 591, 592, 593, 596, 597, 601, 612, 613, 614, 621, 625, 626, 628, 632, 635, 636, 643, 644, 647, 649, 650, 663, 666, 671, 674, 678, 682, 686, 690, 691, 695, 701, 702, 709, 721, 722, 729, 730, 732, 734, 735, 739, 740, 754, 766, 770, 771, 772, 774, 778, 779, 788, 790, 791, 792, 795, 798, 799, 801, 802, 803, 805, 809, 812, 813, 817, 818, 819, 820, 821, 822, 823, 824, 826, 827, 828, 833, 837, 840, 843, 847, 849, 851, 856, 857, 861, 863, 866, 867, 869, 870, 871, 873, 876, 884, 886, 888, 889, 890, 895, 901, 904, 906, 908, 912, 913, 916, 917, 927, 928, 932, 936, 937, 945, 953, 962, 966, 969, 980, 982, 986, 989, 991, 993, 994, 998, 1001, 1003, 1006, 1007, 1011, 1012, 1014, 1015, 1022, 1025, 1028, 1036, 1038, 1043, 1051, 1053, 1054, 1066, 1069, 1071, 1074, 1080, 1086, 1087, 1089, 1096, 1107, 1113, 1120, 1121, 1125, 1126, 1129, 1138, 1141, 1143, 1148, 1158, 1161, 1163, 1164, 1167, 1172, 1174, 1177, 1178, 1180, 1181, 1183, 1185, 1198, 1203, 1212, 1220, 1228, 1232, 1239, 1241, 1242, 1245, 1251, 1252, 1254, 1256, 1257, 1259, 1266, 1282, 1289, 1292, 1299, 1301, 1305, 1308, 1311, 1313, 1314, 1316, 1317, 1322, 1324, 1326, 1331, 1332, 1342, 1343, 1345, 1347, 1349, 1353, 1358, 1363, 1364, 1367, 1370, 1372, 1373, 1379, 1380, 1385, 1386, 1387, 1389, 1391, 1392, 1393, 1395, 1402, 1406, 1407, 1412, 1413, 1420, 1424, 1425, 1426, 1427, 1428, 1430, 1431, 1432, 1439, 1440, 1443, 1444, 1448, 1449, 1451, 1452, 1453, 1454, 1455, 1459, 1468, 1469, 1473, 1476, 1478, 1481, 1490, 1496, 1500, 1504, 1512, 1516, 1517, 1518, 1525, 1526, 1528, 1533, 1536, 1544, 1545, 1547, 1554, 1558, 1560, 1561, 1562, 1568, 1573, 1581, 1585, 1587, 1590, 1591, 1593, 1594, 1596, 1598, 1602, 1603, 1604, 1605, 1608, 1613, 1622, 1624, 1627, 1632, 1633, 1637, 1638, 1641, 1648, 1650, 1652, 1654, 1655, 1658, 1668, 1672, 1673, 1674, 1682, 1684, 1686, 1689, 1691, 1695, 1698, 1700, 1716, 1718, 1726, 1727, 1731, 1735, 1736, 1737, 1738, 1740, 1743, 1751, 1753, 1754, 1756, 1769, 1770, 1773, 1780, 1786, 1789, 1794, 1796, 1798, 1799, 1809, 1810, 1811, 1812, 1816, 1824, 1835, 1848, 1852, 1854, 1858, 1879, 1880, 1882, 1887, 1888, 1890, 1897, 1913, 1919, 1930, 1933, 1934, 1935, 1936, 1940, 1949, 1953, 1958, 1963, 1964, 1970, 1973, 1978, 1979, 1981, 1984, 1986, 1989, 1990, 1992, 1994, 1995, 2001, 2007, 2011, 2013, 2014, 2015, 2017, 2021, 2035, 2038, 2046, 2048, 2052, 2054, 2062, 2063, 2064, 2072, 2077, 2080, 2081, 2088, 2089, 2092, 2097, 2100, 2105, 2106, 2107, 2109, 2112, 2113, 2114, 2118, 2119, 2121, 2123, 2124, 2126, 2133, 2135, 2139, 2140, 2145, 2147, 2160, 2161, 2162, 2164, 2169, 2173, 2177, 2181, 2185, 2186, 2188, 2189, 2192, 2194, 2196, 2199, 2201, 2204, 2212, 2221, 2226, 2229, 2230, 2237, 2238, 2240, 2243, 2244, 2245, 2246, 2247, 2250, 2261, 2262, 2274, 2278, 2287, 2290, 2297, 2301, 2304, 2311, 2313, 2315, 2319, 2320, 2324, 2333, 2334, 2335, 2339, 2344, 2348, 2349, 2360, 2361, 2364, 2366, 2378, 2395, 2396, 2400, 2404, 2405, 2407, 2409, 2410, 2412, 2416, 2420, 2423, 2424, 2425, 2429, 2437, 2440, 2441, 2442, 2445, 2448, 2453, 2457, 2459, 2461, 2463, 2464, 2465, 2469, 2471, 2472, 2475, 2477, 2481, 2486, 2488, 2491, 2493, 2499, 2501, 2511, 2517, 2522, 2525, 2526, 2529, 2530, 2532, 2535, 2537, 2538, 2539, 2546, 2547, 2548, 2549, 2553, 2554, 2555, 2556, 2557, 2559, 2560, 2562, 2575, 2577, 2589, 2594, 2600, 2602, 2607, 2616, 2620, 2623, 2629, 2633, 2640, 2660, 2661, 2663, 2664, 2666, 2667, 2672, 2676, 2686, 2691, 2701, 2704, 2707, 2708, 2710, 2711, 2714, 2716, 2718, 2721, 2730, 2731, 2732, 2733, 2735, 2736, 2742, 2744, 2746, 2747, 2754, 2757, 2760, 2761, 2762, 2764, 2765, 2766, 2767, 2769, 2772, 2776, 2777, 2782, 2788, 2791, 2793, 2795, 2798, 2800, 2801, 2803, 2806, 2807, 2810, 2811, 2815, 2816, 2820, 2824, 2837, 2842, 2843, 2845, 2849, 2850, 2851, 2854, 2857, 2867, 2870, 2875, 2878, 2880, 2882, 2884, 2888, 2899, 2902, 2905, 2910, 2912, 2913, 2915, 2916, 2919, 2920, 2921, 2928, 2933, 2937, 2942, 2944, 2949, 2953, 2955, 2960, 2963, 2966, 2975, 2976, 2979, 2980, 2981, 2985, 2990, 2991, 2995, 2998]}
+[1 rows x 10 columns]
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