01/26/2022 19:48:33 - INFO - codeparrot_training - Distributed environment: TPU
Num processes: 8
Process index: 0
Local process index: 0
Device: xla:1
Use FP16 precision: False

01/26/2022 19:48:33 - WARNING - huggingface_hub.repository - Revision `royal-monkey-12` does not exist. Created and checked out branch `royal-monkey-12`.
01/26/2022 19:48:33 - WARNING - huggingface_hub.repository - 
01/26/2022 19:48:41 - WARNING - datasets.builder - Using custom data configuration lvwerra___codeparrot-clean-train-a1efdd1059bd841d
01/26/2022 19:48:42 - WARNING - datasets.builder - Using custom data configuration lvwerra___codeparrot-clean-valid-a800eb55c299abc0
01/26/2022 19:49:16 - INFO - codeparrot_training - Step 0: {'lr': 0.0, 'samples': 192, 'steps': 0, 'loss/train': 1.3174253404140472}
01/26/2022 19:50:22 - INFO - codeparrot_training - Step 1: {'lr': 2.5e-07, 'samples': 384, 'steps': 1, 'loss/train': 1.098493069410324}
01/26/2022 19:51:32 - INFO - codeparrot_training - Step 2: {'lr': 5e-07, 'samples': 576, 'steps': 2, 'loss/train': 1.4475705027580261}
01/26/2022 19:51:35 - INFO - codeparrot_training - Step 3: {'lr': 7.5e-07, 'samples': 768, 'steps': 3, 'loss/train': 0.7283393740653992}
01/26/2022 19:51:38 - INFO - codeparrot_training - Step 4: {'lr': 1e-06, 'samples': 960, 'steps': 4, 'loss/train': 0.8016244769096375}
01/26/2022 19:51:41 - INFO - codeparrot_training - Step 5: {'lr': 1.25e-06, 'samples': 1152, 'steps': 5, 'loss/train': 1.1862211525440216}
01/26/2022 19:51:44 - INFO - codeparrot_training - Step 6: {'lr': 1.5e-06, 'samples': 1344, 'steps': 6, 'loss/train': 0.9115740358829498}
01/26/2022 19:51:47 - INFO - codeparrot_training - Step 7: {'lr': 1.75e-06, 'samples': 1536, 'steps': 7, 'loss/train': 0.7556531131267548}
01/26/2022 19:51:53 - INFO - codeparrot_training - Step 8: {'lr': 2e-06, 'samples': 1728, 'steps': 8, 'loss/train': 1.2928651571273804}
01/26/2022 19:51:56 - INFO - codeparrot_training - Step 9: {'lr': 2.25e-06, 'samples': 1920, 'steps': 9, 'loss/train': 1.7122818231582642}
01/26/2022 19:51:59 - INFO - codeparrot_training - Step 10: {'lr': 2.5e-06, 'samples': 2112, 'steps': 10, 'loss/train': 0.66591677069664}
01/26/2022 19:52:02 - INFO - codeparrot_training - Step 11: {'lr': 2.75e-06, 'samples': 2304, 'steps': 11, 'loss/train': 0.45707841217517853}
01/26/2022 19:52:06 - INFO - codeparrot_training - Step 12: {'lr': 3e-06, 'samples': 2496, 'steps': 12, 'loss/train': 1.0142653584480286}
01/26/2022 19:52:09 - INFO - codeparrot_training - Step 13: {'lr': 3.25e-06, 'samples': 2688, 'steps': 13, 'loss/train': 1.2159733772277832}
01/26/2022 19:52:12 - INFO - codeparrot_training - Step 14: {'lr': 3.5e-06, 'samples': 2880, 'steps': 14, 'loss/train': 0.8099969029426575}
01/26/2022 19:52:15 - INFO - codeparrot_training - Step 15: {'lr': 3.75e-06, 'samples': 3072, 'steps': 15, 'loss/train': 0.9018677473068237}
01/26/2022 19:52:18 - INFO - codeparrot_training - Step 16: {'lr': 4e-06, 'samples': 3264, 'steps': 16, 'loss/train': 1.4756002128124237}
01/26/2022 19:52:23 - INFO - codeparrot_training - Step 17: {'lr': 4.250000000000001e-06, 'samples': 3456, 'steps': 17, 'loss/train': 0.8930210173130035}
01/26/2022 19:52:26 - INFO - codeparrot_training - Step 18: {'lr': 4.5e-06, 'samples': 3648, 'steps': 18, 'loss/train': 1.3594367802143097}
01/26/2022 19:52:29 - INFO - codeparrot_training - Step 19: {'lr': 4.75e-06, 'samples': 3840, 'steps': 19, 'loss/train': 0.9841994047164917}
01/26/2022 19:52:32 - INFO - codeparrot_training - Step 20: {'lr': 5e-06, 'samples': 4032, 'steps': 20, 'loss/train': 0.5345936715602875}
01/26/2022 19:52:35 - INFO - codeparrot_training - Step 21: {'lr': 5.2500000000000006e-06, 'samples': 4224, 'steps': 21, 'loss/train': 0.637407973408699}
01/26/2022 19:52:38 - INFO - codeparrot_training - Step 22: {'lr': 5.5e-06, 'samples': 4416, 'steps': 22, 'loss/train': 1.2250346839427948}
01/26/2022 19:52:41 - INFO - codeparrot_training - Step 23: {'lr': 5.75e-06, 'samples': 4608, 'steps': 23, 'loss/train': 1.0428715646266937}
01/26/2022 19:52:45 - INFO - codeparrot_training - Step 24: {'lr': 6e-06, 'samples': 4800, 'steps': 24, 'loss/train': 0.9611641466617584}
01/26/2022 19:52:50 - INFO - codeparrot_training - Step 25: {'lr': 6.25e-06, 'samples': 4992, 'steps': 25, 'loss/train': 1.2642099559307098}
01/26/2022 19:52:53 - INFO - codeparrot_training - Step 26: {'lr': 6.5e-06, 'samples': 5184, 'steps': 26, 'loss/train': 0.38639961183071136}
01/26/2022 19:52:56 - INFO - codeparrot_training - Step 27: {'lr': 6.75e-06, 'samples': 5376, 'steps': 27, 'loss/train': 1.3766223192214966}
01/26/2022 19:52:59 - INFO - codeparrot_training - Step 28: {'lr': 7e-06, 'samples': 5568, 'steps': 28, 'loss/train': 1.0789436995983124}
01/26/2022 19:53:02 - INFO - codeparrot_training - Step 29: {'lr': 7.250000000000001e-06, 'samples': 5760, 'steps': 29, 'loss/train': 1.0117962956428528}
01/26/2022 19:53:05 - INFO - codeparrot_training - Step 30: {'lr': 7.5e-06, 'samples': 5952, 'steps': 30, 'loss/train': 0.4729790836572647}
01/26/2022 19:53:08 - INFO - codeparrot_training - Step 31: {'lr': 7.75e-06, 'samples': 6144, 'steps': 31, 'loss/train': 1.2678570449352264}
01/26/2022 19:53:12 - INFO - codeparrot_training - Step 32: {'lr': 8e-06, 'samples': 6336, 'steps': 32, 'loss/train': 1.0175764560699463}
01/26/2022 19:53:15 - INFO - codeparrot_training - Step 33: {'lr': 8.25e-06, 'samples': 6528, 'steps': 33, 'loss/train': 0.6667446792125702}
01/26/2022 19:53:19 - INFO - codeparrot_training - Step 34: {'lr': 8.500000000000002e-06, 'samples': 6720, 'steps': 34, 'loss/train': 1.0679191052913666}
01/26/2022 19:53:22 - INFO - codeparrot_training - Step 35: {'lr': 8.750000000000001e-06, 'samples': 6912, 'steps': 35, 'loss/train': 0.7404331415891647}
01/26/2022 19:53:25 - INFO - codeparrot_training - Step 36: {'lr': 9e-06, 'samples': 7104, 'steps': 36, 'loss/train': 1.0515027344226837}
01/26/2022 19:53:29 - INFO - codeparrot_training - Step 37: {'lr': 9.25e-06, 'samples': 7296, 'steps': 37, 'loss/train': 1.3058996200561523}
01/26/2022 19:53:32 - INFO - codeparrot_training - Step 38: {'lr': 9.5e-06, 'samples': 7488, 'steps': 38, 'loss/train': 1.1324551105499268}
01/26/2022 19:53:35 - INFO - codeparrot_training - Step 39: {'lr': 9.75e-06, 'samples': 7680, 'steps': 39, 'loss/train': 0.8902977705001831}
01/26/2022 19:53:38 - INFO - codeparrot_training - Step 40: {'lr': 1e-05, 'samples': 7872, 'steps': 40, 'loss/train': 0.5506274253129959}
01/26/2022 19:53:41 - INFO - codeparrot_training - Step 41: {'lr': 1.025e-05, 'samples': 8064, 'steps': 41, 'loss/train': 0.953863263130188}
01/26/2022 19:53:44 - INFO - codeparrot_training - Step 42: {'lr': 1.0500000000000001e-05, 'samples': 8256, 'steps': 42, 'loss/train': 1.2091366946697235}
01/26/2022 19:53:49 - INFO - codeparrot_training - Step 43: {'lr': 1.0749999999999999e-05, 'samples': 8448, 'steps': 43, 'loss/train': 0.6340087652206421}
01/26/2022 19:53:52 - INFO - codeparrot_training - Step 44: {'lr': 1.1e-05, 'samples': 8640, 'steps': 44, 'loss/train': 1.1415702402591705}
01/26/2022 19:53:55 - INFO - codeparrot_training - Step 45: {'lr': 1.1249999999999999e-05, 'samples': 8832, 'steps': 45, 'loss/train': 1.1699762642383575}
01/26/2022 19:53:58 - INFO - codeparrot_training - Step 46: {'lr': 1.15e-05, 'samples': 9024, 'steps': 46, 'loss/train': 0.519690066576004}
01/26/2022 19:54:01 - INFO - codeparrot_training - Step 47: {'lr': 1.1750000000000001e-05, 'samples': 9216, 'steps': 47, 'loss/train': 0.9116686284542084}
01/26/2022 19:54:04 - INFO - codeparrot_training - Step 48: {'lr': 1.2e-05, 'samples': 9408, 'steps': 48, 'loss/train': 0.8386119604110718}
01/26/2022 19:54:08 - INFO - codeparrot_training - Step 49: {'lr': 1.2250000000000001e-05, 'samples': 9600, 'steps': 49, 'loss/train': 1.3592749536037445}
01/26/2022 19:54:11 - INFO - codeparrot_training - Step 50: {'lr': 1.25e-05, 'samples': 9792, 'steps': 50, 'loss/train': 1.262882262468338}
01/26/2022 19:54:14 - INFO - codeparrot_training - Step 51: {'lr': 1.275e-05, 'samples': 9984, 'steps': 51, 'loss/train': 0.8111315667629242}
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01/26/2022 19:54:26 - INFO - codeparrot_training - Step 54: {'lr': 1.35e-05, 'samples': 10560, 'steps': 54, 'loss/train': 1.130149930715561}
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01/26/2022 19:54:35 - INFO - codeparrot_training - Step 57: {'lr': 1.425e-05, 'samples': 11136, 'steps': 57, 'loss/train': 1.9858249425888062}
01/26/2022 19:54:38 - INFO - codeparrot_training - Step 58: {'lr': 1.4500000000000002e-05, 'samples': 11328, 'steps': 58, 'loss/train': 1.0599297881126404}
01/26/2022 19:54:41 - INFO - codeparrot_training - Step 59: {'lr': 1.475e-05, 'samples': 11520, 'steps': 59, 'loss/train': 0.8293282985687256}
01/26/2022 19:54:44 - INFO - codeparrot_training - Step 60: {'lr': 1.5e-05, 'samples': 11712, 'steps': 60, 'loss/train': 0.4658845067024231}
01/26/2022 19:54:49 - INFO - codeparrot_training - Step 61: {'lr': 1.525e-05, 'samples': 11904, 'steps': 61, 'loss/train': 0.7947032153606415}
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01/26/2022 19:54:59 - INFO - codeparrot_training - Step 64: {'lr': 1.6e-05, 'samples': 12480, 'steps': 64, 'loss/train': 1.0617777407169342}
01/26/2022 19:55:02 - INFO - codeparrot_training - Step 65: {'lr': 1.6250000000000002e-05, 'samples': 12672, 'steps': 65, 'loss/train': 1.2117932438850403}
01/26/2022 19:55:05 - INFO - codeparrot_training - Step 66: {'lr': 1.65e-05, 'samples': 12864, 'steps': 66, 'loss/train': 1.173624336719513}
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01/26/2022 19:55:11 - INFO - codeparrot_training - Step 68: {'lr': 1.7000000000000003e-05, 'samples': 13248, 'steps': 68, 'loss/train': 1.043434739112854}
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01/26/2022 19:55:19 - INFO - codeparrot_training - Step 70: {'lr': 1.7500000000000002e-05, 'samples': 13632, 'steps': 70, 'loss/train': 0.9751145839691162}
01/26/2022 19:55:22 - INFO - codeparrot_training - Step 71: {'lr': 1.7749999999999998e-05, 'samples': 13824, 'steps': 71, 'loss/train': 0.7835906445980072}
01/26/2022 19:55:25 - INFO - codeparrot_training - Step 72: {'lr': 1.8e-05, 'samples': 14016, 'steps': 72, 'loss/train': 0.7807894349098206}
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01/26/2022 19:55:52 - INFO - codeparrot_training - Step 80: {'lr': 2e-05, 'samples': 15552, 'steps': 80, 'loss/train': 1.2250367403030396}
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01/26/2022 19:56:02 - INFO - codeparrot_training - Step 83: {'lr': 2.0750000000000003e-05, 'samples': 16128, 'steps': 83, 'loss/train': 1.1026679277420044}
01/26/2022 19:56:05 - INFO - codeparrot_training - Step 84: {'lr': 2.1000000000000002e-05, 'samples': 16320, 'steps': 84, 'loss/train': 0.35788920521736145}
01/26/2022 19:56:08 - INFO - codeparrot_training - Step 85: {'lr': 2.125e-05, 'samples': 16512, 'steps': 85, 'loss/train': 1.1877082586288452}
01/26/2022 19:56:11 - INFO - codeparrot_training - Step 86: {'lr': 2.1499999999999997e-05, 'samples': 16704, 'steps': 86, 'loss/train': 0.8088233470916748}
01/26/2022 19:56:16 - INFO - codeparrot_training - Step 87: {'lr': 2.175e-05, 'samples': 16896, 'steps': 87, 'loss/train': 1.3929831683635712}
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01/26/2022 19:56:37 - INFO - codeparrot_training - Step 94: {'lr': 2.3500000000000002e-05, 'samples': 18240, 'steps': 94, 'loss/train': 1.0366325676441193}
01/26/2022 19:56:41 - INFO - codeparrot_training - Step 95: {'lr': 2.375e-05, 'samples': 18432, 'steps': 95, 'loss/train': 1.444101244211197}
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01/26/2022 19:56:51 - INFO - codeparrot_training - Step 98: {'lr': 2.4500000000000003e-05, 'samples': 19008, 'steps': 98, 'loss/train': 1.0458069741725922}
01/26/2022 19:56:54 - INFO - codeparrot_training - Step 99: {'lr': 2.4750000000000002e-05, 'samples': 19200, 'steps': 99, 'loss/train': 0.7854014039039612}
01/26/2022 19:56:58 - INFO - codeparrot_training - Step 100: {'lr': 2.5e-05, 'samples': 19392, 'steps': 100, 'loss/train': 0.9934608042240143}
01/26/2022 19:57:01 - INFO - codeparrot_training - Step 101: {'lr': 2.525e-05, 'samples': 19584, 'steps': 101, 'loss/train': 0.9963217377662659}
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01/26/2022 19:58:04 - INFO - codeparrot_training - Step 120: {'lr': 3e-05, 'samples': 23232, 'steps': 120, 'loss/train': 1.0524914860725403}
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01/26/2022 21:40:49 - INFO - codeparrot_training - Step 1960: {'lr': 0.00049, 'samples': 376512, 'steps': 1960, 'loss/train': 1.1024954617023468}
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01/26/2022 21:41:03 - INFO - codeparrot_training - Step 1964: {'lr': 0.000491, 'samples': 377280, 'steps': 1964, 'loss/train': 0.8065761923789978}
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01/26/2022 21:41:18 - INFO - codeparrot_training - Step 1969: {'lr': 0.0004922500000000001, 'samples': 378240, 'steps': 1969, 'loss/train': 1.0223771631717682}
01/26/2022 21:41:22 - INFO - codeparrot_training - Step 1970: {'lr': 0.0004925, 'samples': 378432, 'steps': 1970, 'loss/train': 0.5959418714046478}
01/26/2022 21:41:25 - INFO - codeparrot_training - Step 1971: {'lr': 0.00049275, 'samples': 378624, 'steps': 1971, 'loss/train': 0.4839349687099457}
01/26/2022 21:41:28 - INFO - codeparrot_training - Step 1972: {'lr': 0.0004930000000000001, 'samples': 378816, 'steps': 1972, 'loss/train': 0.73919378221035}
01/26/2022 21:41:32 - INFO - codeparrot_training - Step 1973: {'lr': 0.00049325, 'samples': 379008, 'steps': 1973, 'loss/train': 0.8754311800003052}
01/26/2022 21:41:35 - INFO - codeparrot_training - Step 1974: {'lr': 0.0004935, 'samples': 379200, 'steps': 1974, 'loss/train': 0.2693951725959778}
01/26/2022 21:41:38 - INFO - codeparrot_training - Step 1975: {'lr': 0.00049375, 'samples': 379392, 'steps': 1975, 'loss/train': 0.8377140462398529}
01/26/2022 21:41:42 - INFO - codeparrot_training - Step 1976: {'lr': 0.000494, 'samples': 379584, 'steps': 1976, 'loss/train': 0.7758494317531586}
01/26/2022 21:41:45 - INFO - codeparrot_training - Step 1977: {'lr': 0.00049425, 'samples': 379776, 'steps': 1977, 'loss/train': 1.216726541519165}
01/26/2022 21:41:48 - INFO - codeparrot_training - Step 1978: {'lr': 0.0004945, 'samples': 379968, 'steps': 1978, 'loss/train': 0.9289956986904144}
01/26/2022 21:41:51 - INFO - codeparrot_training - Step 1979: {'lr': 0.0004947500000000001, 'samples': 380160, 'steps': 1979, 'loss/train': 0.8398751020431519}
01/26/2022 21:41:54 - INFO - codeparrot_training - Step 1980: {'lr': 0.000495, 'samples': 380352, 'steps': 1980, 'loss/train': 0.9946226477622986}
01/26/2022 21:42:01 - INFO - codeparrot_training - Step 1981: {'lr': 0.00049525, 'samples': 380544, 'steps': 1981, 'loss/train': 0.6382877826690674}
01/26/2022 21:42:04 - INFO - codeparrot_training - Step 1982: {'lr': 0.0004955, 'samples': 380736, 'steps': 1982, 'loss/train': 0.6531389057636261}
01/26/2022 21:42:07 - INFO - codeparrot_training - Step 1983: {'lr': 0.00049575, 'samples': 380928, 'steps': 1983, 'loss/train': 1.2436447441577911}
01/26/2022 21:42:10 - INFO - codeparrot_training - Step 1984: {'lr': 0.000496, 'samples': 381120, 'steps': 1984, 'loss/train': 0.8173876404762268}
01/26/2022 21:42:13 - INFO - codeparrot_training - Step 1985: {'lr': 0.0004962500000000001, 'samples': 381312, 'steps': 1985, 'loss/train': 0.2629638612270355}
01/26/2022 21:42:16 - INFO - codeparrot_training - Step 1986: {'lr': 0.0004965, 'samples': 381504, 'steps': 1986, 'loss/train': 0.4969499856233597}
01/26/2022 21:42:19 - INFO - codeparrot_training - Step 1987: {'lr': 0.00049675, 'samples': 381696, 'steps': 1987, 'loss/train': 1.013057827949524}
01/26/2022 21:42:23 - INFO - codeparrot_training - Step 1988: {'lr': 0.000497, 'samples': 381888, 'steps': 1988, 'loss/train': 0.8126345872879028}
01/26/2022 21:42:26 - INFO - codeparrot_training - Step 1989: {'lr': 0.0004972500000000001, 'samples': 382080, 'steps': 1989, 'loss/train': 1.1256734132766724}
01/26/2022 21:42:30 - INFO - codeparrot_training - Step 1990: {'lr': 0.0004975, 'samples': 382272, 'steps': 1990, 'loss/train': 0.9168229401111603}
01/26/2022 21:42:33 - INFO - codeparrot_training - Step 1991: {'lr': 0.00049775, 'samples': 382464, 'steps': 1991, 'loss/train': 0.941860556602478}
01/26/2022 21:42:36 - INFO - codeparrot_training - Step 1992: {'lr': 0.000498, 'samples': 382656, 'steps': 1992, 'loss/train': 1.4965969026088715}
01/26/2022 21:42:40 - INFO - codeparrot_training - Step 1993: {'lr': 0.00049825, 'samples': 382848, 'steps': 1993, 'loss/train': 1.0781153440475464}
01/26/2022 21:42:43 - INFO - codeparrot_training - Step 1994: {'lr': 0.0004985, 'samples': 383040, 'steps': 1994, 'loss/train': 0.9627453088760376}
01/26/2022 21:42:46 - INFO - codeparrot_training - Step 1995: {'lr': 0.0004987500000000001, 'samples': 383232, 'steps': 1995, 'loss/train': 0.9109219908714294}
01/26/2022 21:42:49 - INFO - codeparrot_training - Step 1996: {'lr': 0.000499, 'samples': 383424, 'steps': 1996, 'loss/train': 0.13320894911885262}
01/26/2022 21:42:52 - INFO - codeparrot_training - Step 1997: {'lr': 0.00049925, 'samples': 383616, 'steps': 1997, 'loss/train': 1.204388827085495}
01/26/2022 21:42:55 - INFO - codeparrot_training - Step 1998: {'lr': 0.0004995, 'samples': 383808, 'steps': 1998, 'loss/train': 1.3314221799373627}
01/26/2022 21:43:00 - INFO - codeparrot_training - Step 1999: {'lr': 0.0004997500000000001, 'samples': 384000, 'steps': 1999, 'loss/train': 1.2572254836559296}
01/26/2022 21:43:00 - INFO - codeparrot_training - Evaluating and saving model checkpoint
01/26/2022 21:44:51 - WARNING - huggingface_hub.repository - To https://huggingface.co/ncoop57/codeparrot-neo-125M-py
 * [new branch]      royal-monkey-12 -> royal-monkey-12

01/26/2022 21:46:08 - INFO - codeparrot_training - Step 2000: {'lr': 0.0005, 'samples': 384192, 'steps': 2000, 'loss/train': 1.2902482151985168}
01/26/2022 21:46:11 - INFO - codeparrot_training - Step 2001: {'lr': 0.0004999999994645397, 'samples': 384384, 'steps': 2001, 'loss/train': 1.012294739484787}
01/26/2022 21:46:14 - INFO - codeparrot_training - Step 2002: {'lr': 0.0004999999978581587, 'samples': 384576, 'steps': 2002, 'loss/train': 1.1903394162654877}
01/26/2022 21:46:17 - INFO - codeparrot_training - Step 2003: {'lr': 0.0004999999951808573, 'samples': 384768, 'steps': 2003, 'loss/train': 0.6301666796207428}
01/26/2022 21:46:21 - INFO - codeparrot_training - Step 2004: {'lr': 0.0004999999914326351, 'samples': 384960, 'steps': 2004, 'loss/train': 0.6268340349197388}
01/26/2022 21:46:24 - INFO - codeparrot_training - Step 2005: {'lr': 0.0004999999866134924, 'samples': 385152, 'steps': 2005, 'loss/train': 0.7916231453418732}
01/26/2022 21:46:27 - INFO - codeparrot_training - Step 2006: {'lr': 0.0004999999807234292, 'samples': 385344, 'steps': 2006, 'loss/train': 1.0635093748569489}
01/26/2022 21:46:30 - INFO - codeparrot_training - Step 2007: {'lr': 0.0004999999737624453, 'samples': 385536, 'steps': 2007, 'loss/train': 0.3961552530527115}
01/26/2022 21:46:36 - INFO - codeparrot_training - Step 2008: {'lr': 0.0004999999657305411, 'samples': 385728, 'steps': 2008, 'loss/train': 0.5662686377763748}
01/26/2022 21:46:40 - INFO - codeparrot_training - Step 2009: {'lr': 0.0004999999566277163, 'samples': 385920, 'steps': 2009, 'loss/train': 0.846624881029129}
01/26/2022 21:46:43 - INFO - codeparrot_training - Step 2010: {'lr': 0.0004999999464539711, 'samples': 386112, 'steps': 2010, 'loss/train': 1.4005944728851318}
01/26/2022 21:46:46 - INFO - codeparrot_training - Step 2011: {'lr': 0.0004999999352093055, 'samples': 386304, 'steps': 2011, 'loss/train': 1.2804512679576874}
01/26/2022 21:46:49 - INFO - codeparrot_training - Step 2012: {'lr': 0.0004999999228937196, 'samples': 386496, 'steps': 2012, 'loss/train': 0.5199491679668427}
01/26/2022 21:46:52 - INFO - codeparrot_training - Step 2013: {'lr': 0.0004999999095072135, 'samples': 386688, 'steps': 2013, 'loss/train': 1.3126805126667023}
01/26/2022 21:46:55 - INFO - codeparrot_training - Step 2014: {'lr': 0.0004999998950497869, 'samples': 386880, 'steps': 2014, 'loss/train': 0.7487647086381912}
01/26/2022 21:46:58 - INFO - codeparrot_training - Step 2015: {'lr': 0.0004999998795214404, 'samples': 387072, 'steps': 2015, 'loss/train': 1.3387062549591064}
01/26/2022 21:47:02 - INFO - codeparrot_training - Step 2016: {'lr': 0.0004999998629221736, 'samples': 387264, 'steps': 2016, 'loss/train': 0.8916180431842804}
01/26/2022 21:47:06 - INFO - codeparrot_training - Step 2017: {'lr': 0.0004999998452519869, 'samples': 387456, 'steps': 2017, 'loss/train': 0.6454151719808578}
01/26/2022 21:47:09 - INFO - codeparrot_training - Step 2018: {'lr': 0.0004999998265108802, 'samples': 387648, 'steps': 2018, 'loss/train': 1.089319109916687}
01/26/2022 21:47:13 - INFO - codeparrot_training - Step 2019: {'lr': 0.0004999998066988537, 'samples': 387840, 'steps': 2019, 'loss/train': 0.45093633234500885}
01/26/2022 21:47:16 - INFO - codeparrot_training - Step 2020: {'lr': 0.0004999997858159073, 'samples': 388032, 'steps': 2020, 'loss/train': 1.1280781924724579}
01/26/2022 21:47:19 - INFO - codeparrot_training - Step 2021: {'lr': 0.0004999997638620412, 'samples': 388224, 'steps': 2021, 'loss/train': 0.8910837471485138}
01/26/2022 21:47:22 - INFO - codeparrot_training - Step 2022: {'lr': 0.0004999997408372557, 'samples': 388416, 'steps': 2022, 'loss/train': 0.9995455741882324}
01/26/2022 21:47:25 - INFO - codeparrot_training - Step 2023: {'lr': 0.0004999997167415504, 'samples': 388608, 'steps': 2023, 'loss/train': 1.4466348588466644}
01/26/2022 21:47:28 - INFO - codeparrot_training - Step 2024: {'lr': 0.0004999996915749259, 'samples': 388800, 'steps': 2024, 'loss/train': 0.39474794268608093}
01/26/2022 21:47:33 - INFO - codeparrot_training - Step 2025: {'lr': 0.0004999996653373821, 'samples': 388992, 'steps': 2025, 'loss/train': 1.0281030535697937}
01/26/2022 21:47:36 - INFO - codeparrot_training - Step 2026: {'lr': 0.000499999638028919, 'samples': 389184, 'steps': 2026, 'loss/train': 1.1158581376075745}
01/26/2022 21:47:39 - INFO - codeparrot_training - Step 2027: {'lr': 0.0004999996096495369, 'samples': 389376, 'steps': 2027, 'loss/train': 0.8855677843093872}
01/26/2022 21:47:42 - INFO - codeparrot_training - Step 2028: {'lr': 0.0004999995801992359, 'samples': 389568, 'steps': 2028, 'loss/train': 0.6355200558900833}
01/26/2022 21:47:45 - INFO - codeparrot_training - Step 2029: {'lr': 0.000499999549678016, 'samples': 389760, 'steps': 2029, 'loss/train': 1.2554163336753845}
01/26/2022 21:47:49 - INFO - codeparrot_training - Step 2030: {'lr': 0.0004999995180858774, 'samples': 389952, 'steps': 2030, 'loss/train': 0.8659185469150543}
01/26/2022 21:47:52 - INFO - codeparrot_training - Step 2031: {'lr': 0.0004999994854228203, 'samples': 390144, 'steps': 2031, 'loss/train': 0.8121409714221954}
01/26/2022 21:47:55 - INFO - codeparrot_training - Step 2032: {'lr': 0.0004999994516888449, 'samples': 390336, 'steps': 2032, 'loss/train': 1.1874024868011475}
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01/26/2022 23:24:19 - INFO - codeparrot_training - Step 3749: {'lr': 0.0004983638142389993, 'samples': 720000, 'steps': 3749, 'loss/train': 0.8759652078151703}
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01/26/2022 23:24:26 - INFO - codeparrot_training - Step 3751: {'lr': 0.0004983600742068192, 'samples': 720384, 'steps': 3751, 'loss/train': 1.3080310821533203}
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01/26/2022 23:37:21 - INFO - codeparrot_training - Step 3982: {'lr': 0.0004978994864665305, 'samples': 764736, 'steps': 3982, 'loss/train': 0.7290050089359283}
01/26/2022 23:37:24 - INFO - codeparrot_training - Step 3983: {'lr': 0.0004978973693188797, 'samples': 764928, 'steps': 3983, 'loss/train': 1.0577080249786377}
01/26/2022 23:37:27 - INFO - codeparrot_training - Step 3984: {'lr': 0.0004978952511093155, 'samples': 765120, 'steps': 3984, 'loss/train': 1.721834421157837}
01/26/2022 23:37:30 - INFO - codeparrot_training - Step 3985: {'lr': 0.0004978931318378465, 'samples': 765312, 'steps': 3985, 'loss/train': 1.035116046667099}
01/26/2022 23:37:35 - INFO - codeparrot_training - Step 3986: {'lr': 0.0004978910115044822, 'samples': 765504, 'steps': 3986, 'loss/train': 1.2025447189807892}
01/26/2022 23:37:38 - INFO - codeparrot_training - Step 3987: {'lr': 0.0004978888901092315, 'samples': 765696, 'steps': 3987, 'loss/train': 0.6157684922218323}
01/26/2022 23:37:41 - INFO - codeparrot_training - Step 3988: {'lr': 0.0004978867676521035, 'samples': 765888, 'steps': 3988, 'loss/train': 1.0940046608448029}
01/26/2022 23:37:45 - INFO - codeparrot_training - Step 3989: {'lr': 0.0004978846441331073, 'samples': 766080, 'steps': 3989, 'loss/train': 1.308286339044571}
01/26/2022 23:37:48 - INFO - codeparrot_training - Step 3990: {'lr': 0.000497882519552252, 'samples': 766272, 'steps': 3990, 'loss/train': 0.9947578310966492}
01/26/2022 23:37:51 - INFO - codeparrot_training - Step 3991: {'lr': 0.0004978803939095466, 'samples': 766464, 'steps': 3991, 'loss/train': 0.7385606467723846}
01/26/2022 23:37:54 - INFO - codeparrot_training - Step 3992: {'lr': 0.0004978782672050004, 'samples': 766656, 'steps': 3992, 'loss/train': 0.8506863713264465}
01/26/2022 23:37:57 - INFO - codeparrot_training - Step 3993: {'lr': 0.0004978761394386224, 'samples': 766848, 'steps': 3993, 'loss/train': 0.47996753454208374}
01/26/2022 23:38:00 - INFO - codeparrot_training - Step 3994: {'lr': 0.0004978740106104218, 'samples': 767040, 'steps': 3994, 'loss/train': 0.7131772041320801}
01/26/2022 23:38:05 - INFO - codeparrot_training - Step 3995: {'lr': 0.0004978718807204076, 'samples': 767232, 'steps': 3995, 'loss/train': 1.070930689573288}
01/26/2022 23:38:08 - INFO - codeparrot_training - Step 3996: {'lr': 0.0004978697497685889, 'samples': 767424, 'steps': 3996, 'loss/train': 1.4254731237888336}
01/26/2022 23:38:11 - INFO - codeparrot_training - Step 3997: {'lr': 0.0004978676177549749, 'samples': 767616, 'steps': 3997, 'loss/train': 1.0729676485061646}
01/26/2022 23:38:14 - INFO - codeparrot_training - Step 3998: {'lr': 0.0004978654846795748, 'samples': 767808, 'steps': 3998, 'loss/train': 0.7836130857467651}
01/26/2022 23:38:17 - INFO - codeparrot_training - Step 3999: {'lr': 0.0004978633505423976, 'samples': 768000, 'steps': 3999, 'loss/train': 0.6604420244693756}
01/26/2022 23:38:17 - INFO - codeparrot_training - Evaluating and saving model checkpoint
01/26/2022 23:38:35 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
01/26/2022 23:38:35 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
01/26/2022 23:39:12 - WARNING - huggingface_hub.repository - To https://huggingface.co/ncoop57/codeparrot-neo-125M-py
   9ecaf4a..da12221  royal-monkey-12 -> royal-monkey-12

01/26/2022 23:39:16 - INFO - codeparrot_training - Step 4000: {'lr': 0.0004978612153434526, 'samples': 768192, 'steps': 4000, 'loss/train': 1.2772589027881622}
01/26/2022 23:39:19 - INFO - codeparrot_training - Step 4001: {'lr': 0.0004978590790827488, 'samples': 768384, 'steps': 4001, 'loss/train': 0.8840435743331909}
01/26/2022 23:39:22 - INFO - codeparrot_training - Step 4002: {'lr': 0.0004978569417602955, 'samples': 768576, 'steps': 4002, 'loss/train': 0.721100851893425}
01/26/2022 23:39:27 - INFO - codeparrot_training - Step 4003: {'lr': 0.0004978548033761017, 'samples': 768768, 'steps': 4003, 'loss/train': 0.932602196931839}
01/26/2022 23:39:30 - INFO - codeparrot_training - Step 4004: {'lr': 0.0004978526639301766, 'samples': 768960, 'steps': 4004, 'loss/train': 1.3107247352600098}
01/26/2022 23:39:33 - INFO - codeparrot_training - Step 4005: {'lr': 0.0004978505234225294, 'samples': 769152, 'steps': 4005, 'loss/train': 0.9157354831695557}
01/26/2022 23:39:37 - INFO - codeparrot_training - Step 4006: {'lr': 0.0004978483818531693, 'samples': 769344, 'steps': 4006, 'loss/train': 1.0819831788539886}
01/26/2022 23:39:40 - INFO - codeparrot_training - Step 4007: {'lr': 0.0004978462392221054, 'samples': 769536, 'steps': 4007, 'loss/train': 0.5205494463443756}
01/26/2022 23:39:43 - INFO - codeparrot_training - Step 4008: {'lr': 0.0004978440955293468, 'samples': 769728, 'steps': 4008, 'loss/train': 0.6775269359350204}
01/26/2022 23:39:46 - INFO - codeparrot_training - Step 4009: {'lr': 0.000497841950774903, 'samples': 769920, 'steps': 4009, 'loss/train': 0.9375828802585602}
01/26/2022 23:39:49 - INFO - codeparrot_training - Step 4010: {'lr': 0.0004978398049587828, 'samples': 770112, 'steps': 4010, 'loss/train': 0.3183499351143837}
01/26/2022 23:39:52 - INFO - codeparrot_training - Step 4011: {'lr': 0.0004978376580809957, 'samples': 770304, 'steps': 4011, 'loss/train': 1.1100340783596039}
01/26/2022 23:39:57 - INFO - codeparrot_training - Step 4012: {'lr': 0.0004978355101415507, 'samples': 770496, 'steps': 4012, 'loss/train': 0.9437098503112793}
01/26/2022 23:40:01 - INFO - codeparrot_training - Step 4013: {'lr': 0.0004978333611404571, 'samples': 770688, 'steps': 4013, 'loss/train': 0.6379410177469254}
01/26/2022 23:40:04 - INFO - codeparrot_training - Step 4014: {'lr': 0.0004978312110777241, 'samples': 770880, 'steps': 4014, 'loss/train': 0.6716441363096237}
01/26/2022 23:40:07 - INFO - codeparrot_training - Step 4015: {'lr': 0.0004978290599533609, 'samples': 771072, 'steps': 4015, 'loss/train': 1.1299696862697601}
01/26/2022 23:40:10 - INFO - codeparrot_training - Step 4016: {'lr': 0.0004978269077673766, 'samples': 771264, 'steps': 4016, 'loss/train': 1.7829644680023193}
01/26/2022 23:40:13 - INFO - codeparrot_training - Step 4017: {'lr': 0.0004978247545197806, 'samples': 771456, 'steps': 4017, 'loss/train': 0.6675313711166382}
01/26/2022 23:40:16 - INFO - codeparrot_training - Step 4018: {'lr': 0.0004978226002105821, 'samples': 771648, 'steps': 4018, 'loss/train': 0.9305848181247711}
01/26/2022 23:40:19 - INFO - codeparrot_training - Step 4019: {'lr': 0.0004978204448397902, 'samples': 771840, 'steps': 4019, 'loss/train': 0.9519038200378418}
01/26/2022 23:40:23 - INFO - codeparrot_training - Step 4020: {'lr': 0.0004978182884074142, 'samples': 772032, 'steps': 4020, 'loss/train': 0.8829478025436401}
01/26/2022 23:40:26 - INFO - codeparrot_training - Step 4021: {'lr': 0.0004978161309134633, 'samples': 772224, 'steps': 4021, 'loss/train': 1.0805622339248657}
01/26/2022 23:40:31 - INFO - codeparrot_training - Step 4022: {'lr': 0.0004978139723579469, 'samples': 772416, 'steps': 4022, 'loss/train': 1.1087295413017273}
01/26/2022 23:40:34 - INFO - codeparrot_training - Step 4023: {'lr': 0.0004978118127408741, 'samples': 772608, 'steps': 4023, 'loss/train': 1.006752222776413}
01/26/2022 23:40:38 - INFO - codeparrot_training - Step 4024: {'lr': 0.0004978096520622541, 'samples': 772800, 'steps': 4024, 'loss/train': 0.9731187522411346}
01/26/2022 23:40:41 - INFO - codeparrot_training - Step 4025: {'lr': 0.0004978074903220964, 'samples': 772992, 'steps': 4025, 'loss/train': 0.8995282351970673}
01/26/2022 23:40:44 - INFO - codeparrot_training - Step 4026: {'lr': 0.0004978053275204099, 'samples': 773184, 'steps': 4026, 'loss/train': 0.9191463589668274}
01/26/2022 23:40:47 - INFO - codeparrot_training - Step 4027: {'lr': 0.0004978031636572042, 'samples': 773376, 'steps': 4027, 'loss/train': 0.44516538083553314}
01/26/2022 23:40:50 - INFO - codeparrot_training - Step 4028: {'lr': 0.0004978009987324884, 'samples': 773568, 'steps': 4028, 'loss/train': 0.3797793388366699}
01/26/2022 23:40:53 - INFO - codeparrot_training - Step 4029: {'lr': 0.0004977988327462718, 'samples': 773760, 'steps': 4029, 'loss/train': 0.8683596253395081}
01/26/2022 23:40:58 - INFO - codeparrot_training - Step 4030: {'lr': 0.0004977966656985637, 'samples': 773952, 'steps': 4030, 'loss/train': 1.2682644724845886}
01/26/2022 23:41:01 - INFO - codeparrot_training - Step 4031: {'lr': 0.0004977944975893733, 'samples': 774144, 'steps': 4031, 'loss/train': 0.7197783440351486}
01/26/2022 23:41:04 - INFO - codeparrot_training - Step 4032: {'lr': 0.00049779232841871, 'samples': 774336, 'steps': 4032, 'loss/train': 0.3036152645945549}
01/26/2022 23:41:07 - INFO - codeparrot_training - Step 4033: {'lr': 0.0004977901581865831, 'samples': 774528, 'steps': 4033, 'loss/train': 0.7276606857776642}
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01/27/2022 01:22:16 - INFO - codeparrot_training - Step 5854: {'lr': 0.0004920887201344353, 'samples': 1124160, 'steps': 5854, 'loss/train': 0.8569275140762329}
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01/27/2022 01:22:56 - INFO - codeparrot_training - Step 5866: {'lr': 0.0004920396410862815, 'samples': 1126464, 'steps': 5866, 'loss/train': 5.9527119398117065}
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01/27/2022 01:23:13 - INFO - codeparrot_training - Step 5871: {'lr': 0.0004920191474162547, 'samples': 1127424, 'steps': 5871, 'loss/train': 1.1009838581085205}
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01/27/2022 01:23:22 - INFO - codeparrot_training - Step 5874: {'lr': 0.0004920068387733, 'samples': 1128000, 'steps': 5874, 'loss/train': 1.3111307322978973}
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01/27/2022 01:23:39 - INFO - codeparrot_training - Step 5879: {'lr': 0.000491986303635001, 'samples': 1128960, 'steps': 5879, 'loss/train': 1.0484599471092224}
01/27/2022 01:23:42 - INFO - codeparrot_training - Step 5880: {'lr': 0.0004919821934974933, 'samples': 1129152, 'steps': 5880, 'loss/train': 0.3161552846431732}
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01/27/2022 01:25:40 - INFO - codeparrot_training - Step 5915: {'lr': 0.0004918376857685557, 'samples': 1135872, 'steps': 5915, 'loss/train': 0.8915555477142334}
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01/27/2022 01:26:04 - INFO - codeparrot_training - Step 5922: {'lr': 0.0004918086319129413, 'samples': 1137216, 'steps': 5922, 'loss/train': 0.8021037876605988}
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01/27/2022 01:26:13 - INFO - codeparrot_training - Step 5925: {'lr': 0.0004917961647227084, 'samples': 1137792, 'steps': 5925, 'loss/train': 0.8462794125080109}
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01/27/2022 01:26:49 - INFO - codeparrot_training - Step 5936: {'lr': 0.0004917503719406087, 'samples': 1139904, 'steps': 5936, 'loss/train': 1.1725132763385773}
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01/27/2022 01:26:58 - INFO - codeparrot_training - Step 5938: {'lr': 0.0004917420325169673, 'samples': 1140288, 'steps': 5938, 'loss/train': 0.8387462496757507}
01/27/2022 01:27:01 - INFO - codeparrot_training - Step 5939: {'lr': 0.0004917378612518185, 'samples': 1140480, 'steps': 5939, 'loss/train': 1.2521882057189941}
01/27/2022 01:27:04 - INFO - codeparrot_training - Step 5940: {'lr': 0.0004917336889511414, 'samples': 1140672, 'steps': 5940, 'loss/train': 0.5880907773971558}
01/27/2022 01:27:07 - INFO - codeparrot_training - Step 5941: {'lr': 0.0004917295156149539, 'samples': 1140864, 'steps': 5941, 'loss/train': 1.3937951624393463}
01/27/2022 01:27:10 - INFO - codeparrot_training - Step 5942: {'lr': 0.000491725341243274, 'samples': 1141056, 'steps': 5942, 'loss/train': 0.905097484588623}
01/27/2022 01:27:13 - INFO - codeparrot_training - Step 5943: {'lr': 0.0004917211658361196, 'samples': 1141248, 'steps': 5943, 'loss/train': 1.1747694611549377}
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01/27/2022 01:27:20 - INFO - codeparrot_training - Step 5945: {'lr': 0.0004917128119154582, 'samples': 1141632, 'steps': 5945, 'loss/train': 1.4339193999767303}
01/27/2022 01:27:23 - INFO - codeparrot_training - Step 5946: {'lr': 0.0004917086334019872, 'samples': 1141824, 'steps': 5946, 'loss/train': 0.6126915067434311}
01/27/2022 01:27:27 - INFO - codeparrot_training - Step 5947: {'lr': 0.0004917044538531131, 'samples': 1142016, 'steps': 5947, 'loss/train': 1.2185064554214478}
01/27/2022 01:27:30 - INFO - codeparrot_training - Step 5948: {'lr': 0.000491700273268854, 'samples': 1142208, 'steps': 5948, 'loss/train': 1.0312707424163818}
01/27/2022 01:27:34 - INFO - codeparrot_training - Step 5949: {'lr': 0.0004916960916492276, 'samples': 1142400, 'steps': 5949, 'loss/train': 0.8356442749500275}
01/27/2022 01:27:37 - INFO - codeparrot_training - Step 5950: {'lr': 0.0004916919089942519, 'samples': 1142592, 'steps': 5950, 'loss/train': 0.9691996872425079}
01/27/2022 01:27:40 - INFO - codeparrot_training - Step 5951: {'lr': 0.0004916877253039448, 'samples': 1142784, 'steps': 5951, 'loss/train': 0.921790212392807}
01/27/2022 01:27:43 - INFO - codeparrot_training - Step 5952: {'lr': 0.0004916835405783242, 'samples': 1142976, 'steps': 5952, 'loss/train': 0.747716635465622}
01/27/2022 01:27:46 - INFO - codeparrot_training - Step 5953: {'lr': 0.0004916793548174081, 'samples': 1143168, 'steps': 5953, 'loss/train': 1.088217169046402}
01/27/2022 01:27:49 - INFO - codeparrot_training - Step 5954: {'lr': 0.0004916751680212145, 'samples': 1143360, 'steps': 5954, 'loss/train': 0.9205394983291626}
01/27/2022 01:27:53 - INFO - codeparrot_training - Step 5955: {'lr': 0.000491670980189761, 'samples': 1143552, 'steps': 5955, 'loss/train': 0.8024406731128693}
01/27/2022 01:27:57 - INFO - codeparrot_training - Step 5956: {'lr': 0.0004916667913230659, 'samples': 1143744, 'steps': 5956, 'loss/train': 0.5471832454204559}
01/27/2022 01:28:00 - INFO - codeparrot_training - Step 5957: {'lr': 0.000491662601421147, 'samples': 1143936, 'steps': 5957, 'loss/train': 1.0969154834747314}
01/27/2022 01:28:03 - INFO - codeparrot_training - Step 5958: {'lr': 0.0004916584104840222, 'samples': 1144128, 'steps': 5958, 'loss/train': 1.4486732482910156}
01/27/2022 01:28:06 - INFO - codeparrot_training - Step 5959: {'lr': 0.0004916542185117095, 'samples': 1144320, 'steps': 5959, 'loss/train': 0.6395173072814941}
01/27/2022 01:28:10 - INFO - codeparrot_training - Step 5960: {'lr': 0.0004916500255042268, 'samples': 1144512, 'steps': 5960, 'loss/train': 0.8952089846134186}
01/27/2022 01:28:13 - INFO - codeparrot_training - Step 5961: {'lr': 0.0004916458314615923, 'samples': 1144704, 'steps': 5961, 'loss/train': 0.8460304141044617}
01/27/2022 01:28:16 - INFO - codeparrot_training - Step 5962: {'lr': 0.0004916416363838237, 'samples': 1144896, 'steps': 5962, 'loss/train': 0.7959212064743042}
01/27/2022 01:28:19 - INFO - codeparrot_training - Step 5963: {'lr': 0.000491637440270939, 'samples': 1145088, 'steps': 5963, 'loss/train': 0.9367941319942474}
01/27/2022 01:28:22 - INFO - codeparrot_training - Step 5964: {'lr': 0.0004916332431229562, 'samples': 1145280, 'steps': 5964, 'loss/train': 0.7599012851715088}
01/27/2022 01:28:28 - INFO - codeparrot_training - Step 5965: {'lr': 0.0004916290449398934, 'samples': 1145472, 'steps': 5965, 'loss/train': 0.8075355291366577}
01/27/2022 01:28:31 - INFO - codeparrot_training - Step 5966: {'lr': 0.0004916248457217686, 'samples': 1145664, 'steps': 5966, 'loss/train': 1.1928081214427948}
01/27/2022 01:28:34 - INFO - codeparrot_training - Step 5967: {'lr': 0.0004916206454685995, 'samples': 1145856, 'steps': 5967, 'loss/train': 0.20665942132472992}
01/27/2022 01:28:37 - INFO - codeparrot_training - Step 5968: {'lr': 0.0004916164441804044, 'samples': 1146048, 'steps': 5968, 'loss/train': 1.3763956725597382}
01/27/2022 01:28:41 - INFO - codeparrot_training - Step 5969: {'lr': 0.0004916122418572011, 'samples': 1146240, 'steps': 5969, 'loss/train': 1.206805408000946}
01/27/2022 01:28:44 - INFO - codeparrot_training - Step 5970: {'lr': 0.0004916080384990077, 'samples': 1146432, 'steps': 5970, 'loss/train': 0.7197115570306778}
01/27/2022 01:28:47 - INFO - codeparrot_training - Step 5971: {'lr': 0.0004916038341058423, 'samples': 1146624, 'steps': 5971, 'loss/train': 0.5604524463415146}
01/27/2022 01:28:50 - INFO - codeparrot_training - Step 5972: {'lr': 0.0004915996286777226, 'samples': 1146816, 'steps': 5972, 'loss/train': 1.1775434911251068}
01/27/2022 01:28:53 - INFO - codeparrot_training - Step 5973: {'lr': 0.0004915954222146669, 'samples': 1147008, 'steps': 5973, 'loss/train': 0.3150007277727127}
01/27/2022 01:28:58 - INFO - codeparrot_training - Step 5974: {'lr': 0.0004915912147166932, 'samples': 1147200, 'steps': 5974, 'loss/train': 0.9859269261360168}
01/27/2022 01:29:01 - INFO - codeparrot_training - Step 5975: {'lr': 0.0004915870061838193, 'samples': 1147392, 'steps': 5975, 'loss/train': 1.090939611196518}
01/27/2022 01:29:04 - INFO - codeparrot_training - Step 5976: {'lr': 0.0004915827966160634, 'samples': 1147584, 'steps': 5976, 'loss/train': 0.7837338745594025}
01/27/2022 01:29:07 - INFO - codeparrot_training - Step 5977: {'lr': 0.0004915785860134436, 'samples': 1147776, 'steps': 5977, 'loss/train': 0.41621553897857666}
01/27/2022 01:29:10 - INFO - codeparrot_training - Step 5978: {'lr': 0.0004915743743759779, 'samples': 1147968, 'steps': 5978, 'loss/train': 0.8034381866455078}
01/27/2022 01:29:13 - INFO - codeparrot_training - Step 5979: {'lr': 0.0004915701617036842, 'samples': 1148160, 'steps': 5979, 'loss/train': 0.47881655395030975}
01/27/2022 01:29:16 - INFO - codeparrot_training - Step 5980: {'lr': 0.0004915659479965806, 'samples': 1148352, 'steps': 5980, 'loss/train': 1.1428370475769043}
01/27/2022 01:29:20 - INFO - codeparrot_training - Step 5981: {'lr': 0.0004915617332546852, 'samples': 1148544, 'steps': 5981, 'loss/train': 0.6230627149343491}
01/27/2022 01:29:23 - INFO - codeparrot_training - Step 5982: {'lr': 0.0004915575174780161, 'samples': 1148736, 'steps': 5982, 'loss/train': 0.38649125397205353}
01/27/2022 01:29:28 - INFO - codeparrot_training - Step 5983: {'lr': 0.0004915533006665912, 'samples': 1148928, 'steps': 5983, 'loss/train': 0.6079123020172119}
01/27/2022 01:29:31 - INFO - codeparrot_training - Step 5984: {'lr': 0.0004915490828204287, 'samples': 1149120, 'steps': 5984, 'loss/train': 0.9055639207363129}
01/27/2022 01:29:34 - INFO - codeparrot_training - Step 5985: {'lr': 0.0004915448639395466, 'samples': 1149312, 'steps': 5985, 'loss/train': 0.8659065663814545}
01/27/2022 01:29:38 - INFO - codeparrot_training - Step 5986: {'lr': 0.0004915406440239631, 'samples': 1149504, 'steps': 5986, 'loss/train': 1.0837918817996979}
01/27/2022 01:29:41 - INFO - codeparrot_training - Step 5987: {'lr': 0.0004915364230736961, 'samples': 1149696, 'steps': 5987, 'loss/train': 0.861989289522171}
01/27/2022 01:29:44 - INFO - codeparrot_training - Step 5988: {'lr': 0.0004915322010887637, 'samples': 1149888, 'steps': 5988, 'loss/train': 1.079150140285492}
01/27/2022 01:29:47 - INFO - codeparrot_training - Step 5989: {'lr': 0.0004915279780691843, 'samples': 1150080, 'steps': 5989, 'loss/train': 0.7141554951667786}
01/27/2022 01:29:50 - INFO - codeparrot_training - Step 5990: {'lr': 0.0004915237540149755, 'samples': 1150272, 'steps': 5990, 'loss/train': 1.0042881667613983}
01/27/2022 01:29:53 - INFO - codeparrot_training - Step 5991: {'lr': 0.0004915195289261557, 'samples': 1150464, 'steps': 5991, 'loss/train': 1.0117742121219635}
01/27/2022 01:29:58 - INFO - codeparrot_training - Step 5992: {'lr': 0.0004915153028027429, 'samples': 1150656, 'steps': 5992, 'loss/train': 1.0333560705184937}
01/27/2022 01:30:01 - INFO - codeparrot_training - Step 5993: {'lr': 0.0004915110756447552, 'samples': 1150848, 'steps': 5993, 'loss/train': 0.6415847092866898}
01/27/2022 01:30:04 - INFO - codeparrot_training - Step 5994: {'lr': 0.0004915068474522109, 'samples': 1151040, 'steps': 5994, 'loss/train': 0.4053955078125}
01/27/2022 01:30:07 - INFO - codeparrot_training - Step 5995: {'lr': 0.0004915026182251278, 'samples': 1151232, 'steps': 5995, 'loss/train': 1.1155361831188202}
01/27/2022 01:30:10 - INFO - codeparrot_training - Step 5996: {'lr': 0.0004914983879635242, 'samples': 1151424, 'steps': 5996, 'loss/train': 1.0008392035961151}
01/27/2022 01:30:14 - INFO - codeparrot_training - Step 5997: {'lr': 0.0004914941566674183, 'samples': 1151616, 'steps': 5997, 'loss/train': 0.9563375115394592}
01/27/2022 01:30:17 - INFO - codeparrot_training - Step 5998: {'lr': 0.0004914899243368279, 'samples': 1151808, 'steps': 5998, 'loss/train': 0.758020430803299}
01/27/2022 01:30:20 - INFO - codeparrot_training - Step 5999: {'lr': 0.0004914856909717715, 'samples': 1152000, 'steps': 5999, 'loss/train': 0.8879449367523193}
01/27/2022 01:30:20 - INFO - codeparrot_training - Evaluating and saving model checkpoint
01/27/2022 01:30:38 - WARNING - huggingface_hub.repository - Several commits (3) will be pushed upstream.
01/27/2022 01:30:38 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
01/27/2022 01:31:13 - WARNING - huggingface_hub.repository - To https://huggingface.co/ncoop57/codeparrot-neo-125M-py
   da12221..8aa5ec4  royal-monkey-12 -> royal-monkey-12

01/27/2022 01:31:17 - INFO - codeparrot_training - Step 6000: {'lr': 0.0004914814565722671, 'samples': 1152192, 'steps': 6000, 'loss/train': 0.47781872749328613}
01/27/2022 01:31:22 - INFO - codeparrot_training - Step 6001: {'lr': 0.0004914772211383327, 'samples': 1152384, 'steps': 6001, 'loss/train': 0.7370853871107101}
01/27/2022 01:31:25 - INFO - codeparrot_training - Step 6002: {'lr': 0.0004914729846699867, 'samples': 1152576, 'steps': 6002, 'loss/train': 1.0314266681671143}
01/27/2022 01:31:29 - INFO - codeparrot_training - Step 6003: {'lr': 0.000491468747167247, 'samples': 1152768, 'steps': 6003, 'loss/train': 0.5577990710735321}
01/27/2022 01:31:32 - INFO - codeparrot_training - Step 6004: {'lr': 0.0004914645086301319, 'samples': 1152960, 'steps': 6004, 'loss/train': 0.9060070216655731}
01/27/2022 01:31:35 - INFO - codeparrot_training - Step 6005: {'lr': 0.0004914602690586596, 'samples': 1153152, 'steps': 6005, 'loss/train': 1.1503175497055054}
01/27/2022 01:31:38 - INFO - codeparrot_training - Step 6006: {'lr': 0.0004914560284528481, 'samples': 1153344, 'steps': 6006, 'loss/train': 0.6653635650873184}
01/27/2022 01:31:41 - INFO - codeparrot_training - Step 6007: {'lr': 0.0004914517868127156, 'samples': 1153536, 'steps': 6007, 'loss/train': 0.8128127753734589}
01/27/2022 01:31:44 - INFO - codeparrot_training - Step 6008: {'lr': 0.0004914475441382804, 'samples': 1153728, 'steps': 6008, 'loss/train': 0.7923440337181091}
01/27/2022 01:31:50 - INFO - codeparrot_training - Step 6009: {'lr': 0.0004914433004295605, 'samples': 1153920, 'steps': 6009, 'loss/train': 0.6783936470746994}
01/27/2022 01:31:53 - INFO - codeparrot_training - Step 6010: {'lr': 0.0004914390556865743, 'samples': 1154112, 'steps': 6010, 'loss/train': 1.2388244569301605}
01/27/2022 01:31:56 - INFO - codeparrot_training - Step 6011: {'lr': 0.0004914348099093398, 'samples': 1154304, 'steps': 6011, 'loss/train': 0.7230310589075089}
01/27/2022 01:31:59 - INFO - codeparrot_training - Step 6012: {'lr': 0.0004914305630978751, 'samples': 1154496, 'steps': 6012, 'loss/train': 0.3604404777288437}
01/27/2022 01:32:02 - INFO - codeparrot_training - Step 6013: {'lr': 0.0004914263152521987, 'samples': 1154688, 'steps': 6013, 'loss/train': 0.868224173784256}
01/27/2022 01:32:06 - INFO - codeparrot_training - Step 6014: {'lr': 0.0004914220663723286, 'samples': 1154880, 'steps': 6014, 'loss/train': 0.30920009315013885}
01/27/2022 01:32:09 - INFO - codeparrot_training - Step 6015: {'lr': 0.0004914178164582829, 'samples': 1155072, 'steps': 6015, 'loss/train': 0.844325065612793}
01/27/2022 01:32:12 - INFO - codeparrot_training - Step 6016: {'lr': 0.0004914135655100801, 'samples': 1155264, 'steps': 6016, 'loss/train': 0.7064405232667923}
01/27/2022 01:32:15 - INFO - codeparrot_training - Step 6017: {'lr': 0.0004914093135277381, 'samples': 1155456, 'steps': 6017, 'loss/train': 0.7322920113801956}
01/27/2022 01:32:19 - INFO - codeparrot_training - Step 6018: {'lr': 0.0004914050605112753, 'samples': 1155648, 'steps': 6018, 'loss/train': 1.3764962553977966}
01/27/2022 01:32:23 - INFO - codeparrot_training - Step 6019: {'lr': 0.00049140080646071, 'samples': 1155840, 'steps': 6019, 'loss/train': 0.7494382560253143}
01/27/2022 01:32:26 - INFO - codeparrot_training - Step 6020: {'lr': 0.0004913965513760601, 'samples': 1156032, 'steps': 6020, 'loss/train': 0.9572587609291077}
01/27/2022 01:32:29 - INFO - codeparrot_training - Step 6021: {'lr': 0.0004913922952573442, 'samples': 1156224, 'steps': 6021, 'loss/train': 0.9611290991306305}
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01/27/2022 02:41:54 - INFO - codeparrot_training - Step 7268: {'lr': 0.00048528663071901047, 'samples': 1395648, 'steps': 7268, 'loss/train': 0.6374850422143936}
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01/27/2022 02:47:37 - INFO - codeparrot_training - Step 7370: {'lr': 0.00048471728155689034, 'samples': 1415232, 'steps': 7370, 'loss/train': 0.7253526002168655}
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01/27/2022 02:47:47 - INFO - codeparrot_training - Step 7373: {'lr': 0.00048470037750939795, 'samples': 1415808, 'steps': 7373, 'loss/train': 0.09811719506978989}
01/27/2022 02:47:50 - INFO - codeparrot_training - Step 7374: {'lr': 0.0004846947408161045, 'samples': 1416000, 'steps': 7374, 'loss/train': 0.7880159318447113}
01/27/2022 02:47:53 - INFO - codeparrot_training - Step 7375: {'lr': 0.0004846891031174533, 'samples': 1416192, 'steps': 7375, 'loss/train': 0.2223331555724144}
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01/27/2022 03:21:27 - INFO - codeparrot_training - Step 7973: {'lr': 0.0004811385867645558, 'samples': 1531008, 'steps': 7973, 'loss/train': 1.037726640701294}
01/27/2022 03:21:31 - INFO - codeparrot_training - Step 7974: {'lr': 0.00048113235135008574, 'samples': 1531200, 'steps': 7974, 'loss/train': 0.24469352513551712}
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01/27/2022 03:21:37 - INFO - codeparrot_training - Step 7976: {'lr': 0.0004811198775508796, 'samples': 1531584, 'steps': 7976, 'loss/train': 0.7919387519359589}
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01/27/2022 03:21:56 - INFO - codeparrot_training - Step 7981: {'lr': 0.0004810886757275589, 'samples': 1532544, 'steps': 7981, 'loss/train': 0.11379532143473625}
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01/27/2022 03:22:02 - INFO - codeparrot_training - Step 7983: {'lr': 0.00048107618806866994, 'samples': 1532928, 'steps': 7983, 'loss/train': 0.6893970519304276}
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01/27/2022 03:22:10 - INFO - codeparrot_training - Step 7985: {'lr': 0.00048106369645035284, 'samples': 1533312, 'steps': 7985, 'loss/train': 1.1575816869735718}
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01/27/2022 03:22:16 - INFO - codeparrot_training - Step 7987: {'lr': 0.0004810512008728218, 'samples': 1533696, 'steps': 7987, 'loss/train': 0.4842468202114105}
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01/27/2022 03:22:22 - INFO - codeparrot_training - Step 7989: {'lr': 0.00048103870133629084, 'samples': 1534080, 'steps': 7989, 'loss/train': 0.09200944751501083}
01/27/2022 03:22:25 - INFO - codeparrot_training - Step 7990: {'lr': 0.00048103245008346735, 'samples': 1534272, 'steps': 7990, 'loss/train': 0.6041377633810043}
01/27/2022 03:22:29 - INFO - codeparrot_training - Step 7991: {'lr': 0.0004810261978409742, 'samples': 1534464, 'steps': 7991, 'loss/train': 0.8970527350902557}
01/27/2022 03:22:32 - INFO - codeparrot_training - Step 7992: {'lr': 0.00048101994460883815, 'samples': 1534656, 'steps': 7992, 'loss/train': 1.095897763967514}
01/27/2022 03:22:35 - INFO - codeparrot_training - Step 7993: {'lr': 0.00048101369038708596, 'samples': 1534848, 'steps': 7993, 'loss/train': 1.222396194934845}
01/27/2022 03:22:41 - INFO - codeparrot_training - Step 7994: {'lr': 0.0004810074351757446, 'samples': 1535040, 'steps': 7994, 'loss/train': 0.5680525302886963}
01/27/2022 03:22:44 - INFO - codeparrot_training - Step 7995: {'lr': 0.00048100117897484064, 'samples': 1535232, 'steps': 7995, 'loss/train': 0.6094139367341995}
01/27/2022 03:22:47 - INFO - codeparrot_training - Step 7996: {'lr': 0.0004809949217844011, 'samples': 1535424, 'steps': 7996, 'loss/train': 1.2380552887916565}
01/27/2022 03:22:50 - INFO - codeparrot_training - Step 7997: {'lr': 0.00048098866360445254, 'samples': 1535616, 'steps': 7997, 'loss/train': 0.9796683490276337}
01/27/2022 03:22:54 - INFO - codeparrot_training - Step 7998: {'lr': 0.00048098240443502195, 'samples': 1535808, 'steps': 7998, 'loss/train': 0.4951961785554886}
01/27/2022 03:22:57 - INFO - codeparrot_training - Step 7999: {'lr': 0.000480976144276136, 'samples': 1536000, 'steps': 7999, 'loss/train': 0.8134261965751648}
01/27/2022 03:22:57 - INFO - codeparrot_training - Evaluating and saving model checkpoint
01/27/2022 03:23:14 - WARNING - huggingface_hub.repository - Several commits (4) will be pushed upstream.
01/27/2022 03:23:14 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
01/27/2022 03:24:22 - WARNING - huggingface_hub.repository - To https://huggingface.co/ncoop57/codeparrot-neo-125M-py
   8aa5ec4..52f50af  royal-monkey-12 -> royal-monkey-12

01/27/2022 03:24:26 - INFO - codeparrot_training - Step 8000: {'lr': 0.0004809698831278217, 'samples': 1536192, 'steps': 8000, 'loss/train': 1.043077826499939}
01/27/2022 03:24:29 - INFO - codeparrot_training - Step 8001: {'lr': 0.0004809636209901057, 'samples': 1536384, 'steps': 8001, 'loss/train': 0.8112408220767975}
01/27/2022 03:24:32 - INFO - codeparrot_training - Step 8002: {'lr': 0.00048095735786301495, 'samples': 1536576, 'steps': 8002, 'loss/train': 0.5213453024625778}
01/27/2022 03:24:37 - INFO - codeparrot_training - Step 8003: {'lr': 0.00048095109374657617, 'samples': 1536768, 'steps': 8003, 'loss/train': 0.46370740234851837}
01/27/2022 03:24:41 - INFO - codeparrot_training - Step 8004: {'lr': 0.00048094482864081625, 'samples': 1536960, 'steps': 8004, 'loss/train': 0.9975743293762207}
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01/27/2022 05:15:38 - INFO - codeparrot_training - Step 9995: {'lr': 0.0004665472455066675, 'samples': 1919232, 'steps': 9995, 'loss/train': 0.8440124988555908}
01/27/2022 05:15:41 - INFO - codeparrot_training - Step 9996: {'lr': 0.0004665390684496551, 'samples': 1919424, 'steps': 9996, 'loss/train': 0.9463157057762146}
01/27/2022 05:15:44 - INFO - codeparrot_training - Step 9997: {'lr': 0.0004665308904650581, 'samples': 1919616, 'steps': 9997, 'loss/train': 0.61367167532444}
01/27/2022 05:15:47 - INFO - codeparrot_training - Step 9998: {'lr': 0.00046652271155291146, 'samples': 1919808, 'steps': 9998, 'loss/train': 0.7927663922309875}
01/27/2022 05:15:50 - INFO - codeparrot_training - Step 9999: {'lr': 0.0004665145317132503, 'samples': 1920000, 'steps': 9999, 'loss/train': 0.9165996015071869}
01/27/2022 05:15:50 - INFO - codeparrot_training - Evaluating and saving model checkpoint
01/27/2022 05:16:08 - WARNING - huggingface_hub.repository - Several commits (5) will be pushed upstream.
01/27/2022 05:16:08 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
01/27/2022 05:16:45 - WARNING - huggingface_hub.repository - To https://huggingface.co/ncoop57/codeparrot-neo-125M-py
   52f50af..71111c3  royal-monkey-12 -> royal-monkey-12

01/27/2022 05:16:50 - INFO - codeparrot_training - Step 10000: {'lr': 0.00046650635094610973, 'samples': 1920192, 'steps': 10000, 'loss/train': 0.6005915701389313}
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01/27/2022 05:17:04 - INFO - codeparrot_training - Step 10004: {'lr': 0.00046647361860345293, 'samples': 1920960, 'steps': 10004, 'loss/train': 1.0954038798809052}
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01/27/2022 05:18:04 - INFO - codeparrot_training - Step 10022: {'lr': 0.000466326139487672, 'samples': 1924416, 'steps': 10022, 'loss/train': 1.013926774263382}
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01/27/2022 05:18:34 - INFO - codeparrot_training - Step 10031: {'lr': 0.00046625228732627763, 'samples': 1926144, 'steps': 10031, 'loss/train': 0.742792010307312}
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01/27/2022 05:19:40 - INFO - codeparrot_training - Step 10051: {'lr': 0.00046608790280621494, 'samples': 1929984, 'steps': 10051, 'loss/train': 1.0061456859111786}
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01/27/2022 07:07:10 - INFO - codeparrot_training - Step 11990: {'lr': 0.00044843790094067026, 'samples': 2302272, 'steps': 11990, 'loss/train': 0.7817637920379639}
01/27/2022 07:07:13 - INFO - codeparrot_training - Step 11991: {'lr': 0.00044842794817838286, 'samples': 2302464, 'steps': 11991, 'loss/train': 0.8196988999843597}
01/27/2022 07:07:17 - INFO - codeparrot_training - Step 11992: {'lr': 0.0004484179945660931, 'samples': 2302656, 'steps': 11992, 'loss/train': 1.1488071084022522}
01/27/2022 07:07:20 - INFO - codeparrot_training - Step 11993: {'lr': 0.00044840804010384366, 'samples': 2302848, 'steps': 11993, 'loss/train': 0.9100580513477325}
01/27/2022 07:07:23 - INFO - codeparrot_training - Step 11994: {'lr': 0.00044839808479167723, 'samples': 2303040, 'steps': 11994, 'loss/train': 0.987813413143158}
01/27/2022 07:07:28 - INFO - codeparrot_training - Step 11995: {'lr': 0.00044838812862963627, 'samples': 2303232, 'steps': 11995, 'loss/train': 0.482761412858963}
01/27/2022 07:07:31 - INFO - codeparrot_training - Step 11996: {'lr': 0.00044837817161776366, 'samples': 2303424, 'steps': 11996, 'loss/train': 0.6940030753612518}
01/27/2022 07:07:34 - INFO - codeparrot_training - Step 11997: {'lr': 0.00044836821375610194, 'samples': 2303616, 'steps': 11997, 'loss/train': 0.796558678150177}
01/27/2022 07:07:37 - INFO - codeparrot_training - Step 11998: {'lr': 0.0004483582550446938, 'samples': 2303808, 'steps': 11998, 'loss/train': 1.1905471086502075}
01/27/2022 07:07:40 - INFO - codeparrot_training - Step 11999: {'lr': 0.0004483482954835819, 'samples': 2304000, 'steps': 11999, 'loss/train': 1.5027480125427246}
01/27/2022 07:07:40 - INFO - codeparrot_training - Evaluating and saving model checkpoint
01/27/2022 07:07:58 - WARNING - huggingface_hub.repository - Several commits (6) will be pushed upstream.
01/27/2022 07:07:58 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
01/27/2022 07:09:13 - WARNING - huggingface_hub.repository - To https://huggingface.co/ncoop57/codeparrot-neo-125M-py
   71111c3..2f6074d  royal-monkey-12 -> royal-monkey-12

01/27/2022 07:09:17 - INFO - codeparrot_training - Step 12000: {'lr': 0.0004483383350728088, 'samples': 2304192, 'steps': 12000, 'loss/train': 0.9131032526493073}
01/27/2022 07:09:20 - INFO - codeparrot_training - Step 12001: {'lr': 0.00044832837381241733, 'samples': 2304384, 'steps': 12001, 'loss/train': 1.1720669567584991}
01/27/2022 07:09:23 - INFO - codeparrot_training - Step 12002: {'lr': 0.00044831841170245003, 'samples': 2304576, 'steps': 12002, 'loss/train': 0.7890955209732056}
01/27/2022 07:09:26 - INFO - codeparrot_training - Step 12003: {'lr': 0.0004483084487429496, 'samples': 2304768, 'steps': 12003, 'loss/train': 0.9476674497127533}
01/27/2022 07:09:31 - INFO - codeparrot_training - Step 12004: {'lr': 0.00044829848493395884, 'samples': 2304960, 'steps': 12004, 'loss/train': 0.766146719455719}
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01/27/2022 07:09:41 - INFO - codeparrot_training - Step 12007: {'lr': 0.00044826858841047067, 'samples': 2305536, 'steps': 12007, 'loss/train': 0.7603171169757843}
01/27/2022 07:09:44 - INFO - codeparrot_training - Step 12008: {'lr': 0.00044825862120394504, 'samples': 2305728, 'steps': 12008, 'loss/train': 0.7256976664066315}
01/27/2022 07:09:47 - INFO - codeparrot_training - Step 12009: {'lr': 0.00044824865314814245, 'samples': 2305920, 'steps': 12009, 'loss/train': 1.093521773815155}
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01/27/2022 07:09:54 - INFO - codeparrot_training - Step 12011: {'lr': 0.00044822871448887703, 'samples': 2306304, 'steps': 12011, 'loss/train': 1.0844770073890686}
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01/27/2022 07:10:08 - INFO - codeparrot_training - Step 12015: {'lr': 0.0004481888269809016, 'samples': 2307072, 'steps': 12015, 'loss/train': 0.9361422657966614}
01/27/2022 07:10:11 - INFO - codeparrot_training - Step 12016: {'lr': 0.0004481788529813559, 'samples': 2307264, 'steps': 12016, 'loss/train': 1.254083901643753}
01/27/2022 07:10:14 - INFO - codeparrot_training - Step 12017: {'lr': 0.00044816887813287494, 'samples': 2307456, 'steps': 12017, 'loss/train': 0.6621815711259842}
01/27/2022 07:10:17 - INFO - codeparrot_training - Step 12018: {'lr': 0.0004481589024355014, 'samples': 2307648, 'steps': 12018, 'loss/train': 1.0199036300182343}
01/27/2022 07:10:20 - INFO - codeparrot_training - Step 12019: {'lr': 0.00044814892588927816, 'samples': 2307840, 'steps': 12019, 'loss/train': 1.1281749308109283}
01/27/2022 07:10:23 - INFO - codeparrot_training - Step 12020: {'lr': 0.00044813894849424777, 'samples': 2308032, 'steps': 12020, 'loss/train': 0.8308287262916565}
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01/27/2022 07:10:31 - INFO - codeparrot_training - Step 12022: {'lr': 0.00044811899115793666, 'samples': 2308416, 'steps': 12022, 'loss/train': 0.9897028505802155}
01/27/2022 07:10:35 - INFO - codeparrot_training - Step 12023: {'lr': 0.0004481090112167415, 'samples': 2308608, 'steps': 12023, 'loss/train': 1.0170314311981201}
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01/27/2022 07:11:58 - INFO - codeparrot_training - Step 12048: {'lr': 0.00044785923699134646, 'samples': 2313408, 'steps': 12048, 'loss/train': 0.5929422676563263}
01/27/2022 07:12:01 - INFO - codeparrot_training - Step 12049: {'lr': 0.0004478492349995174, 'samples': 2313600, 'steps': 12049, 'loss/train': 0.632967934012413}
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01/27/2022 07:12:11 - INFO - codeparrot_training - Step 12052: {'lr': 0.00044781922393906186, 'samples': 2314176, 'steps': 12052, 'loss/train': 0.3991461396217346}
01/27/2022 07:12:14 - INFO - codeparrot_training - Step 12053: {'lr': 0.00044780921855739676, 'samples': 2314368, 'steps': 12053, 'loss/train': 0.7652874290943146}
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01/27/2022 07:12:20 - INFO - codeparrot_training - Step 12055: {'lr': 0.0004477892052520537, 'samples': 2314752, 'steps': 12055, 'loss/train': 0.5633971989154816}
01/27/2022 07:12:23 - INFO - codeparrot_training - Step 12056: {'lr': 0.0004477791973284616, 'samples': 2314944, 'steps': 12056, 'loss/train': 0.9831972420215607}
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01/27/2022 07:13:04 - INFO - codeparrot_training - Step 12068: {'lr': 0.00044765903617420436, 'samples': 2317248, 'steps': 12068, 'loss/train': 0.9977291822433472}
01/27/2022 07:13:07 - INFO - codeparrot_training - Step 12069: {'lr': 0.0004476490172400548, 'samples': 2317440, 'steps': 12069, 'loss/train': 0.9105515778064728}
01/27/2022 07:13:10 - INFO - codeparrot_training - Step 12070: {'lr': 0.00044763899745923965, 'samples': 2317632, 'steps': 12070, 'loss/train': 1.135503888130188}
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01/27/2022 07:13:30 - INFO - codeparrot_training - Step 12076: {'lr': 0.00044757886099677416, 'samples': 2318784, 'steps': 12076, 'loss/train': 0.877702921628952}
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01/27/2022 07:14:00 - INFO - codeparrot_training - Step 12085: {'lr': 0.00044748859917633144, 'samples': 2320512, 'steps': 12085, 'loss/train': 1.0253104269504547}
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01/27/2022 07:14:27 - INFO - codeparrot_training - Step 12093: {'lr': 0.00044740830891954196, 'samples': 2322048, 'steps': 12093, 'loss/train': 0.9369538128376007}
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01/27/2022 08:59:09 - INFO - codeparrot_training - Step 13968: {'lr': 0.0004271465475562716, 'samples': 2682048, 'steps': 13968, 'loss/train': 0.48775041103363037}
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01/27/2022 09:00:15 - INFO - codeparrot_training - Step 13987: {'lr': 0.00042692704138989467, 'samples': 2685696, 'steps': 13987, 'loss/train': 1.6333833932876587}
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01/27/2022 09:00:21 - INFO - codeparrot_training - Step 13989: {'lr': 0.00042690391955586886, 'samples': 2686080, 'steps': 13989, 'loss/train': 0.8658387064933777}
01/27/2022 09:00:24 - INFO - codeparrot_training - Step 13990: {'lr': 0.00042689235750213093, 'samples': 2686272, 'steps': 13990, 'loss/train': 1.0662318170070648}
01/27/2022 09:00:28 - INFO - codeparrot_training - Step 13991: {'lr': 0.0004268807946906422, 'samples': 2686464, 'steps': 13991, 'loss/train': 0.8437352478504181}
01/27/2022 09:00:31 - INFO - codeparrot_training - Step 13992: {'lr': 0.0004268692311214524, 'samples': 2686656, 'steps': 13992, 'loss/train': 0.8796559274196625}
01/27/2022 09:00:34 - INFO - codeparrot_training - Step 13993: {'lr': 0.00042685766679461095, 'samples': 2686848, 'steps': 13993, 'loss/train': 0.6275034248828888}
01/27/2022 09:00:37 - INFO - codeparrot_training - Step 13994: {'lr': 0.0004268461017101674, 'samples': 2687040, 'steps': 13994, 'loss/train': 1.105334848165512}
01/27/2022 09:00:43 - INFO - codeparrot_training - Step 13995: {'lr': 0.00042683453586817136, 'samples': 2687232, 'steps': 13995, 'loss/train': 1.0676705539226532}
01/27/2022 09:00:47 - INFO - codeparrot_training - Step 13996: {'lr': 0.00042682296926867226, 'samples': 2687424, 'steps': 13996, 'loss/train': 1.1254613399505615}
01/27/2022 09:00:50 - INFO - codeparrot_training - Step 13997: {'lr': 0.0004268114019117197, 'samples': 2687616, 'steps': 13997, 'loss/train': 1.0033139884471893}
01/27/2022 09:00:53 - INFO - codeparrot_training - Step 13998: {'lr': 0.00042679983379736324, 'samples': 2687808, 'steps': 13998, 'loss/train': 1.0843375325202942}
01/27/2022 09:00:56 - INFO - codeparrot_training - Step 13999: {'lr': 0.0004267882649256525, 'samples': 2688000, 'steps': 13999, 'loss/train': 1.0735023021697998}
01/27/2022 09:00:56 - INFO - codeparrot_training - Evaluating and saving model checkpoint
01/27/2022 09:01:14 - WARNING - huggingface_hub.repository - Several commits (7) will be pushed upstream.
01/27/2022 09:01:14 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
01/27/2022 09:01:48 - WARNING - huggingface_hub.repository - To https://huggingface.co/ncoop57/codeparrot-neo-125M-py
   2f6074d..283559f  royal-monkey-12 -> royal-monkey-12

01/27/2022 09:01:53 - INFO - codeparrot_training - Step 14000: {'lr': 0.00042677669529663686, 'samples': 2688192, 'steps': 14000, 'loss/train': 0.9348163604736328}
01/27/2022 09:01:56 - INFO - codeparrot_training - Step 14001: {'lr': 0.0004267651249103661, 'samples': 2688384, 'steps': 14001, 'loss/train': 0.03093577455729246}
01/27/2022 09:01:59 - INFO - codeparrot_training - Step 14002: {'lr': 0.00042675355376688964, 'samples': 2688576, 'steps': 14002, 'loss/train': 0.6535166501998901}
01/27/2022 09:02:02 - INFO - codeparrot_training - Step 14003: {'lr': 0.000426741981866257, 'samples': 2688768, 'steps': 14003, 'loss/train': 1.2150499820709229}
01/27/2022 09:02:07 - INFO - codeparrot_training - Step 14004: {'lr': 0.00042673040920851793, 'samples': 2688960, 'steps': 14004, 'loss/train': 0.5038377642631531}
01/27/2022 09:02:10 - INFO - codeparrot_training - Step 14005: {'lr': 0.00042671883579372186, 'samples': 2689152, 'steps': 14005, 'loss/train': 0.7759323120117188}
01/27/2022 09:02:13 - INFO - codeparrot_training - Step 14006: {'lr': 0.00042670726162191843, 'samples': 2689344, 'steps': 14006, 'loss/train': 0.9634372293949127}
01/27/2022 09:02:16 - INFO - codeparrot_training - Step 14007: {'lr': 0.0004266956866931572, 'samples': 2689536, 'steps': 14007, 'loss/train': 0.7067593485116959}
01/27/2022 09:02:19 - INFO - codeparrot_training - Step 14008: {'lr': 0.0004266841110074878, 'samples': 2689728, 'steps': 14008, 'loss/train': 0.24828940629959106}
01/27/2022 09:02:22 - INFO - codeparrot_training - Step 14009: {'lr': 0.0004266725345649597, 'samples': 2689920, 'steps': 14009, 'loss/train': 0.22894486784934998}
01/27/2022 09:02:26 - INFO - codeparrot_training - Step 14010: {'lr': 0.0004266609573656226, 'samples': 2690112, 'steps': 14010, 'loss/train': 1.2506467401981354}
01/27/2022 09:02:29 - INFO - codeparrot_training - Step 14011: {'lr': 0.000426649379409526, 'samples': 2690304, 'steps': 14011, 'loss/train': 1.0491205751895905}
01/27/2022 09:02:32 - INFO - codeparrot_training - Step 14012: {'lr': 0.00042663780069671965, 'samples': 2690496, 'steps': 14012, 'loss/train': 1.26598459482193}
01/27/2022 09:02:36 - INFO - codeparrot_training - Step 14013: {'lr': 0.000426626221227253, 'samples': 2690688, 'steps': 14013, 'loss/train': 0.3706120401620865}
01/27/2022 09:02:39 - INFO - codeparrot_training - Step 14014: {'lr': 0.00042661464100117566, 'samples': 2690880, 'steps': 14014, 'loss/train': 0.7020441144704819}
01/27/2022 09:02:43 - INFO - codeparrot_training - Step 14015: {'lr': 0.00042660306001853735, 'samples': 2691072, 'steps': 14015, 'loss/train': 0.5079659074544907}
01/27/2022 09:02:46 - INFO - codeparrot_training - Step 14016: {'lr': 0.0004265914782793875, 'samples': 2691264, 'steps': 14016, 'loss/train': 1.1829104125499725}
01/27/2022 09:02:49 - INFO - codeparrot_training - Step 14017: {'lr': 0.000426579895783776, 'samples': 2691456, 'steps': 14017, 'loss/train': 0.7406394481658936}
01/27/2022 09:02:52 - INFO - codeparrot_training - Step 14018: {'lr': 0.0004265683125317521, 'samples': 2691648, 'steps': 14018, 'loss/train': 0.7921828329563141}
01/27/2022 09:02:55 - INFO - codeparrot_training - Step 14019: {'lr': 0.0004265567285233658, 'samples': 2691840, 'steps': 14019, 'loss/train': 0.6530756950378418}
01/27/2022 09:02:58 - INFO - codeparrot_training - Step 14020: {'lr': 0.0004265451437586664, 'samples': 2692032, 'steps': 14020, 'loss/train': 0.7967126369476318}
01/27/2022 09:03:01 - INFO - codeparrot_training - Step 14021: {'lr': 0.0004265335582377038, 'samples': 2692224, 'steps': 14021, 'loss/train': 0.9161058962345123}
01/27/2022 09:03:09 - INFO - codeparrot_training - Step 14022: {'lr': 0.0004265219719605273, 'samples': 2692416, 'steps': 14022, 'loss/train': 0.8824150264263153}
01/27/2022 09:03:12 - INFO - codeparrot_training - Step 14023: {'lr': 0.0004265103849271869, 'samples': 2692608, 'steps': 14023, 'loss/train': 0.7025805115699768}
01/27/2022 09:03:15 - INFO - codeparrot_training - Step 14024: {'lr': 0.000426498797137732, 'samples': 2692800, 'steps': 14024, 'loss/train': 0.745609849691391}
01/27/2022 09:03:18 - INFO - codeparrot_training - Step 14025: {'lr': 0.0004264872085922122, 'samples': 2692992, 'steps': 14025, 'loss/train': 0.7472414821386337}
01/27/2022 09:03:21 - INFO - codeparrot_training - Step 14026: {'lr': 0.0004264756192906774, 'samples': 2693184, 'steps': 14026, 'loss/train': 0.8370361626148224}
01/27/2022 09:03:24 - INFO - codeparrot_training - Step 14027: {'lr': 0.000426464029233177, 'samples': 2693376, 'steps': 14027, 'loss/train': 0.4303290992975235}
01/27/2022 09:03:28 - INFO - codeparrot_training - Step 14028: {'lr': 0.0004264524384197608, 'samples': 2693568, 'steps': 14028, 'loss/train': 0.9047146439552307}
01/27/2022 09:03:31 - INFO - codeparrot_training - Step 14029: {'lr': 0.0004264408468504783, 'samples': 2693760, 'steps': 14029, 'loss/train': 0.8816965520381927}
01/27/2022 09:03:35 - INFO - codeparrot_training - Step 14030: {'lr': 0.00042642925452537927, 'samples': 2693952, 'steps': 14030, 'loss/train': 1.0178795456886292}
01/27/2022 09:03:38 - INFO - codeparrot_training - Step 14031: {'lr': 0.0004264176614445133, 'samples': 2694144, 'steps': 14031, 'loss/train': 0.6776069104671478}
01/27/2022 09:03:41 - INFO - codeparrot_training - Step 14032: {'lr': 0.0004264060676079302, 'samples': 2694336, 'steps': 14032, 'loss/train': 0.3680715411901474}
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01/27/2022 09:03:48 - INFO - codeparrot_training - Step 14034: {'lr': 0.0004263828776678108, 'samples': 2694720, 'steps': 14034, 'loss/train': 1.163200557231903}
01/27/2022 09:03:51 - INFO - codeparrot_training - Step 14035: {'lr': 0.00042637128156437385, 'samples': 2694912, 'steps': 14035, 'loss/train': 1.0121871829032898}
01/27/2022 09:03:54 - INFO - codeparrot_training - Step 14036: {'lr': 0.0004263596847054184, 'samples': 2695104, 'steps': 14036, 'loss/train': 0.6059588491916656}
01/27/2022 09:03:57 - INFO - codeparrot_training - Step 14037: {'lr': 0.00042634808709099403, 'samples': 2695296, 'steps': 14037, 'loss/train': 0.9278047978878021}
01/27/2022 09:04:00 - INFO - codeparrot_training - Step 14038: {'lr': 0.0004263364887211505, 'samples': 2695488, 'steps': 14038, 'loss/train': 1.0545045733451843}
01/27/2022 09:04:05 - INFO - codeparrot_training - Step 14039: {'lr': 0.0004263248895959374, 'samples': 2695680, 'steps': 14039, 'loss/train': 0.9491678774356842}
01/27/2022 09:04:08 - INFO - codeparrot_training - Step 14040: {'lr': 0.0004263132897154044, 'samples': 2695872, 'steps': 14040, 'loss/train': 0.6365851163864136}
01/27/2022 09:04:11 - INFO - codeparrot_training - Step 14041: {'lr': 0.0004263016890796014, 'samples': 2696064, 'steps': 14041, 'loss/train': 0.9167093932628632}
01/27/2022 09:04:14 - INFO - codeparrot_training - Step 14042: {'lr': 0.0004262900876885778, 'samples': 2696256, 'steps': 14042, 'loss/train': 0.5883894860744476}
01/27/2022 09:04:17 - INFO - codeparrot_training - Step 14043: {'lr': 0.0004262784855423836, 'samples': 2696448, 'steps': 14043, 'loss/train': 0.7767824828624725}
01/27/2022 09:04:20 - INFO - codeparrot_training - Step 14044: {'lr': 0.00042626688264106816, 'samples': 2696640, 'steps': 14044, 'loss/train': 1.11994868516922}
01/27/2022 09:04:24 - INFO - codeparrot_training - Step 14045: {'lr': 0.00042625527898468155, 'samples': 2696832, 'steps': 14045, 'loss/train': 0.4896458834409714}
01/27/2022 09:04:27 - INFO - codeparrot_training - Step 14046: {'lr': 0.0004262436745732732, 'samples': 2697024, 'steps': 14046, 'loss/train': 1.068556934595108}
01/27/2022 09:04:30 - INFO - codeparrot_training - Step 14047: {'lr': 0.00042623206940689285, 'samples': 2697216, 'steps': 14047, 'loss/train': 0.8149688243865967}
01/27/2022 09:04:36 - INFO - codeparrot_training - Step 14048: {'lr': 0.00042622046348559034, 'samples': 2697408, 'steps': 14048, 'loss/train': 0.7361974865198135}
01/27/2022 09:04:39 - INFO - codeparrot_training - Step 14049: {'lr': 0.0004262088568094153, 'samples': 2697600, 'steps': 14049, 'loss/train': 1.253288984298706}
01/27/2022 09:04:42 - INFO - codeparrot_training - Step 14050: {'lr': 0.0004261972493784175, 'samples': 2697792, 'steps': 14050, 'loss/train': 1.1130180358886719}
01/27/2022 09:04:46 - INFO - codeparrot_training - Step 14051: {'lr': 0.0004261856411926467, 'samples': 2697984, 'steps': 14051, 'loss/train': 0.9638851583003998}
01/27/2022 09:04:49 - INFO - codeparrot_training - Step 14052: {'lr': 0.0004261740322521525, 'samples': 2698176, 'steps': 14052, 'loss/train': 0.5950068533420563}
01/27/2022 09:04:52 - INFO - codeparrot_training - Step 14053: {'lr': 0.00042616242255698463, 'samples': 2698368, 'steps': 14053, 'loss/train': 0.8018048107624054}
01/27/2022 09:04:55 - INFO - codeparrot_training - Step 14054: {'lr': 0.0004261508121071929, 'samples': 2698560, 'steps': 14054, 'loss/train': 0.7273528575897217}
01/27/2022 09:04:58 - INFO - codeparrot_training - Step 14055: {'lr': 0.00042613920090282706, 'samples': 2698752, 'steps': 14055, 'loss/train': 0.9404013454914093}
01/27/2022 09:05:01 - INFO - codeparrot_training - Step 14056: {'lr': 0.0004261275889439368, 'samples': 2698944, 'steps': 14056, 'loss/train': 0.32792188972234726}
01/27/2022 09:05:06 - INFO - codeparrot_training - Step 14057: {'lr': 0.0004261159762305719, 'samples': 2699136, 'steps': 14057, 'loss/train': 0.8232925236225128}
01/27/2022 09:05:09 - INFO - codeparrot_training - Step 14058: {'lr': 0.00042610436276278196, 'samples': 2699328, 'steps': 14058, 'loss/train': 0.8409935832023621}
01/27/2022 09:05:12 - INFO - codeparrot_training - Step 14059: {'lr': 0.00042609274854061695, 'samples': 2699520, 'steps': 14059, 'loss/train': 1.1656158864498138}
01/27/2022 09:05:15 - INFO - codeparrot_training - Step 14060: {'lr': 0.0004260811335641266, 'samples': 2699712, 'steps': 14060, 'loss/train': 0.491950660943985}
01/27/2022 09:05:18 - INFO - codeparrot_training - Step 14061: {'lr': 0.00042606951783336045, 'samples': 2699904, 'steps': 14061, 'loss/train': 0.05803181603550911}
01/27/2022 09:05:22 - INFO - codeparrot_training - Step 14062: {'lr': 0.0004260579013483684, 'samples': 2700096, 'steps': 14062, 'loss/train': 0.9512220919132233}
01/27/2022 09:05:25 - INFO - codeparrot_training - Step 14063: {'lr': 0.0004260462841092003, 'samples': 2700288, 'steps': 14063, 'loss/train': 1.027407556772232}
01/27/2022 09:05:28 - INFO - codeparrot_training - Step 14064: {'lr': 0.00042603466611590575, 'samples': 2700480, 'steps': 14064, 'loss/train': 0.7963347136974335}
01/27/2022 09:05:31 - INFO - codeparrot_training - Step 14065: {'lr': 0.00042602304736853464, 'samples': 2700672, 'steps': 14065, 'loss/train': 0.7517253756523132}
01/27/2022 09:05:36 - INFO - codeparrot_training - Step 14066: {'lr': 0.00042601142786713664, 'samples': 2700864, 'steps': 14066, 'loss/train': 1.1680482029914856}
01/27/2022 09:05:39 - INFO - codeparrot_training - Step 14067: {'lr': 0.0004259998076117616, 'samples': 2701056, 'steps': 14067, 'loss/train': 1.5107131004333496}
01/27/2022 09:05:42 - INFO - codeparrot_training - Step 14068: {'lr': 0.00042598818660245926, 'samples': 2701248, 'steps': 14068, 'loss/train': 1.087300032377243}
01/27/2022 09:05:45 - INFO - codeparrot_training - Step 14069: {'lr': 0.00042597656483927936, 'samples': 2701440, 'steps': 14069, 'loss/train': 0.4929453134536743}
01/27/2022 09:05:48 - INFO - codeparrot_training - Step 14070: {'lr': 0.0004259649423222718, 'samples': 2701632, 'steps': 14070, 'loss/train': 0.45052555203437805}
01/27/2022 09:05:52 - INFO - codeparrot_training - Step 14071: {'lr': 0.0004259533190514863, 'samples': 2701824, 'steps': 14071, 'loss/train': 1.63324373960495}
01/27/2022 09:05:55 - INFO - codeparrot_training - Step 14072: {'lr': 0.00042594169502697265, 'samples': 2702016, 'steps': 14072, 'loss/train': 0.3566892296075821}
01/27/2022 09:05:58 - INFO - codeparrot_training - Step 14073: {'lr': 0.0004259300702487806, 'samples': 2702208, 'steps': 14073, 'loss/train': 0.7061193734407425}
01/27/2022 09:06:01 - INFO - codeparrot_training - Step 14074: {'lr': 0.00042591844471696005, 'samples': 2702400, 'steps': 14074, 'loss/train': 0.7390531897544861}
01/27/2022 09:06:07 - INFO - codeparrot_training - Step 14075: {'lr': 0.00042590681843156073, 'samples': 2702592, 'steps': 14075, 'loss/train': 0.8177030682563782}
01/27/2022 09:06:11 - INFO - codeparrot_training - Step 14076: {'lr': 0.00042589519139263246, 'samples': 2702784, 'steps': 14076, 'loss/train': 1.420966923236847}
01/27/2022 09:06:14 - INFO - codeparrot_training - Step 14077: {'lr': 0.0004258835636002251, 'samples': 2702976, 'steps': 14077, 'loss/train': 0.6224155426025391}
01/27/2022 09:06:17 - INFO - codeparrot_training - Step 14078: {'lr': 0.0004258719350543883, 'samples': 2703168, 'steps': 14078, 'loss/train': 0.9374057650566101}
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01/27/2022 10:53:12 - INFO - codeparrot_training - Step 15990: {'lr': 0.00040232013678290316, 'samples': 3070272, 'steps': 15990, 'loss/train': 1.0783033668994904}
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01/27/2022 10:53:25 - INFO - codeparrot_training - Step 15994: {'lr': 0.00040226823279739427, 'samples': 3071040, 'steps': 15994, 'loss/train': 0.1973893716931343}
01/27/2022 10:53:28 - INFO - codeparrot_training - Step 15995: {'lr': 0.00040225525517020616, 'samples': 3071232, 'steps': 15995, 'loss/train': 0.711289644241333}
01/27/2022 10:53:31 - INFO - codeparrot_training - Step 15996: {'lr': 0.0004022422768908049, 'samples': 3071424, 'steps': 15996, 'loss/train': 0.6317132413387299}
01/27/2022 10:53:34 - INFO - codeparrot_training - Step 15997: {'lr': 0.00040222929795924613, 'samples': 3071616, 'steps': 15997, 'loss/train': 0.6880833953619003}
01/27/2022 10:53:39 - INFO - codeparrot_training - Step 15998: {'lr': 0.0004022163183755853, 'samples': 3071808, 'steps': 15998, 'loss/train': 1.232497125864029}
01/27/2022 10:53:43 - INFO - codeparrot_training - Step 15999: {'lr': 0.0004022033381398781, 'samples': 3072000, 'steps': 15999, 'loss/train': 0.9505569040775299}
01/27/2022 10:53:43 - INFO - codeparrot_training - Evaluating and saving model checkpoint
01/27/2022 10:54:00 - WARNING - huggingface_hub.repository - Several commits (8) will be pushed upstream.
01/27/2022 10:54:00 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
01/27/2022 10:54:35 - WARNING - huggingface_hub.repository - To https://huggingface.co/ncoop57/codeparrot-neo-125M-py
   283559f..6d4e11b  royal-monkey-12 -> royal-monkey-12

01/27/2022 10:54:40 - INFO - codeparrot_training - Step 16000: {'lr': 0.0004021903572521802, 'samples': 3072192, 'steps': 16000, 'loss/train': 1.1661683320999146}
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01/27/2022 12:43:01 - INFO - codeparrot_training - Step 17933: {'lr': 0.00037594820572320933, 'samples': 3443328, 'steps': 17933, 'loss/train': 0.7939205467700958}
01/27/2022 12:43:05 - INFO - codeparrot_training - Step 17934: {'lr': 0.0003759340711578944, 'samples': 3443520, 'steps': 17934, 'loss/train': 0.5022717118263245}
01/27/2022 12:43:08 - INFO - codeparrot_training - Step 17935: {'lr': 0.0003759199360531178, 'samples': 3443712, 'steps': 17935, 'loss/train': 1.0045287609100342}
01/27/2022 12:43:12 - INFO - codeparrot_training - Step 17936: {'lr': 0.00037590580040894024, 'samples': 3443904, 'steps': 17936, 'loss/train': 0.8051446080207825}
01/27/2022 12:43:15 - INFO - codeparrot_training - Step 17937: {'lr': 0.0003758916642254222, 'samples': 3444096, 'steps': 17937, 'loss/train': 0.9203100800514221}
01/27/2022 12:43:18 - INFO - codeparrot_training - Step 17938: {'lr': 0.00037587752750262426, 'samples': 3444288, 'steps': 17938, 'loss/train': 0.30617518723011017}
01/27/2022 12:43:21 - INFO - codeparrot_training - Step 17939: {'lr': 0.00037586339024060696, 'samples': 3444480, 'steps': 17939, 'loss/train': 0.6931801289319992}
01/27/2022 12:43:24 - INFO - codeparrot_training - Step 17940: {'lr': 0.0003758492524394308, 'samples': 3444672, 'steps': 17940, 'loss/train': 0.46619197726249695}
01/27/2022 12:43:27 - INFO - codeparrot_training - Step 17941: {'lr': 0.0003758351140991565, 'samples': 3444864, 'steps': 17941, 'loss/train': 0.8829436898231506}
01/27/2022 12:43:33 - INFO - codeparrot_training - Step 17942: {'lr': 0.0003758209752198444, 'samples': 3445056, 'steps': 17942, 'loss/train': 0.6434184908866882}
01/27/2022 12:43:37 - INFO - codeparrot_training - Step 17943: {'lr': 0.0003758068358015553, 'samples': 3445248, 'steps': 17943, 'loss/train': 0.48153796792030334}
01/27/2022 12:43:40 - INFO - codeparrot_training - Step 17944: {'lr': 0.0003757926958443496, 'samples': 3445440, 'steps': 17944, 'loss/train': 0.7031002342700958}
01/27/2022 12:43:43 - INFO - codeparrot_training - Step 17945: {'lr': 0.000375778555348288, 'samples': 3445632, 'steps': 17945, 'loss/train': 1.113799273967743}
01/27/2022 12:43:46 - INFO - codeparrot_training - Step 17946: {'lr': 0.000375764414313431, 'samples': 3445824, 'steps': 17946, 'loss/train': 0.6074004918336868}
01/27/2022 12:43:49 - INFO - codeparrot_training - Step 17947: {'lr': 0.0003757502727398391, 'samples': 3446016, 'steps': 17947, 'loss/train': 0.9972122311592102}
01/27/2022 12:43:52 - INFO - codeparrot_training - Step 17948: {'lr': 0.00037573613062757304, 'samples': 3446208, 'steps': 17948, 'loss/train': 0.8115869164466858}
01/27/2022 12:43:55 - INFO - codeparrot_training - Step 17949: {'lr': 0.0003757219879766933, 'samples': 3446400, 'steps': 17949, 'loss/train': 0.9752765893936157}
01/27/2022 12:43:59 - INFO - codeparrot_training - Step 17950: {'lr': 0.00037570784478726057, 'samples': 3446592, 'steps': 17950, 'loss/train': 0.7239139080047607}
01/27/2022 12:44:03 - INFO - codeparrot_training - Step 17951: {'lr': 0.00037569370105933523, 'samples': 3446784, 'steps': 17951, 'loss/train': 0.3716737926006317}
01/27/2022 12:44:06 - INFO - codeparrot_training - Step 17952: {'lr': 0.00037567955679297806, 'samples': 3446976, 'steps': 17952, 'loss/train': 0.6268345713615417}
01/27/2022 12:44:10 - INFO - codeparrot_training - Step 17953: {'lr': 0.0003756654119882496, 'samples': 3447168, 'steps': 17953, 'loss/train': 0.5763550400733948}
01/27/2022 12:44:13 - INFO - codeparrot_training - Step 17954: {'lr': 0.0003756512666452103, 'samples': 3447360, 'steps': 17954, 'loss/train': 0.262355737388134}
01/27/2022 12:44:16 - INFO - codeparrot_training - Step 17955: {'lr': 0.0003756371207639209, 'samples': 3447552, 'steps': 17955, 'loss/train': 0.9930324554443359}
01/27/2022 12:44:19 - INFO - codeparrot_training - Step 17956: {'lr': 0.00037562297434444203, 'samples': 3447744, 'steps': 17956, 'loss/train': 1.2762583494186401}
01/27/2022 12:44:22 - INFO - codeparrot_training - Step 17957: {'lr': 0.0003756088273868342, 'samples': 3447936, 'steps': 17957, 'loss/train': 0.8031097054481506}
01/27/2022 12:44:25 - INFO - codeparrot_training - Step 17958: {'lr': 0.00037559467989115806, 'samples': 3448128, 'steps': 17958, 'loss/train': 0.5294175893068314}
01/27/2022 12:44:29 - INFO - codeparrot_training - Step 17959: {'lr': 0.00037558053185747416, 'samples': 3448320, 'steps': 17959, 'loss/train': 0.7924456894397736}
01/27/2022 12:44:33 - INFO - codeparrot_training - Step 17960: {'lr': 0.00037556638328584314, 'samples': 3448512, 'steps': 17960, 'loss/train': 0.827648788690567}
01/27/2022 12:44:37 - INFO - codeparrot_training - Step 17961: {'lr': 0.00037555223417632565, 'samples': 3448704, 'steps': 17961, 'loss/train': 0.6637343019247055}
01/27/2022 12:44:40 - INFO - codeparrot_training - Step 17962: {'lr': 0.0003755380845289822, 'samples': 3448896, 'steps': 17962, 'loss/train': 1.1260019838809967}
01/27/2022 12:44:43 - INFO - codeparrot_training - Step 17963: {'lr': 0.0003755239343438735, 'samples': 3449088, 'steps': 17963, 'loss/train': 0.785476416349411}
01/27/2022 12:44:46 - INFO - codeparrot_training - Step 17964: {'lr': 0.00037550978362106, 'samples': 3449280, 'steps': 17964, 'loss/train': 1.199933409690857}
01/27/2022 12:44:49 - INFO - codeparrot_training - Step 17965: {'lr': 0.0003754956323606026, 'samples': 3449472, 'steps': 17965, 'loss/train': 0.7535121738910675}
01/27/2022 12:44:52 - INFO - codeparrot_training - Step 17966: {'lr': 0.0003754814805625617, 'samples': 3449664, 'steps': 17966, 'loss/train': 0.4501775801181793}
01/27/2022 12:44:56 - INFO - codeparrot_training - Step 17967: {'lr': 0.00037546732822699803, 'samples': 3449856, 'steps': 17967, 'loss/train': 0.41887445747852325}
01/27/2022 12:44:59 - INFO - codeparrot_training - Step 17968: {'lr': 0.0003754531753539721, 'samples': 3450048, 'steps': 17968, 'loss/train': 0.5372181683778763}
01/27/2022 12:45:07 - INFO - codeparrot_training - Step 17969: {'lr': 0.0003754390219435446, 'samples': 3450240, 'steps': 17969, 'loss/train': 0.8379674255847931}
01/27/2022 12:45:10 - INFO - codeparrot_training - Step 17970: {'lr': 0.00037542486799577624, 'samples': 3450432, 'steps': 17970, 'loss/train': 0.9128230512142181}
01/27/2022 12:45:13 - INFO - codeparrot_training - Step 17971: {'lr': 0.00037541071351072746, 'samples': 3450624, 'steps': 17971, 'loss/train': 0.5380378067493439}
01/27/2022 12:45:17 - INFO - codeparrot_training - Step 17972: {'lr': 0.0003753965584884591, 'samples': 3450816, 'steps': 17972, 'loss/train': 0.6869356334209442}
01/27/2022 12:45:20 - INFO - codeparrot_training - Step 17973: {'lr': 0.00037538240292903167, 'samples': 3451008, 'steps': 17973, 'loss/train': 0.3067547678947449}
01/27/2022 12:45:23 - INFO - codeparrot_training - Step 17974: {'lr': 0.0003753682468325059, 'samples': 3451200, 'steps': 17974, 'loss/train': 0.6076724678277969}
01/27/2022 12:45:26 - INFO - codeparrot_training - Step 17975: {'lr': 0.0003753540901989422, 'samples': 3451392, 'steps': 17975, 'loss/train': 0.49873723089694977}
01/27/2022 12:45:29 - INFO - codeparrot_training - Step 17976: {'lr': 0.00037533993302840153, 'samples': 3451584, 'steps': 17976, 'loss/train': 0.3396426737308502}
01/27/2022 12:45:32 - INFO - codeparrot_training - Step 17977: {'lr': 0.00037532577532094436, 'samples': 3451776, 'steps': 17977, 'loss/train': 1.7281374335289001}
01/27/2022 12:45:37 - INFO - codeparrot_training - Step 17978: {'lr': 0.00037531161707663136, 'samples': 3451968, 'steps': 17978, 'loss/train': 0.6896446198225021}
01/27/2022 12:45:40 - INFO - codeparrot_training - Step 17979: {'lr': 0.0003752974582955232, 'samples': 3452160, 'steps': 17979, 'loss/train': 0.6871363073587418}
01/27/2022 12:45:43 - INFO - codeparrot_training - Step 17980: {'lr': 0.0003752832989776804, 'samples': 3452352, 'steps': 17980, 'loss/train': 0.7854113280773163}
01/27/2022 12:45:46 - INFO - codeparrot_training - Step 17981: {'lr': 0.0003752691391231639, 'samples': 3452544, 'steps': 17981, 'loss/train': 0.8390191197395325}
01/27/2022 12:45:49 - INFO - codeparrot_training - Step 17982: {'lr': 0.00037525497873203405, 'samples': 3452736, 'steps': 17982, 'loss/train': 2.324696123600006}
01/27/2022 12:45:53 - INFO - codeparrot_training - Step 17983: {'lr': 0.0003752408178043518, 'samples': 3452928, 'steps': 17983, 'loss/train': 0.8827296495437622}
01/27/2022 12:45:56 - INFO - codeparrot_training - Step 17984: {'lr': 0.0003752266563401775, 'samples': 3453120, 'steps': 17984, 'loss/train': 0.8177593946456909}
01/27/2022 12:45:59 - INFO - codeparrot_training - Step 17985: {'lr': 0.00037521249433957203, 'samples': 3453312, 'steps': 17985, 'loss/train': 0.7612828016281128}
01/27/2022 12:46:02 - INFO - codeparrot_training - Step 17986: {'lr': 0.000375198331802596, 'samples': 3453504, 'steps': 17986, 'loss/train': 0.8115473985671997}
01/27/2022 12:46:06 - INFO - codeparrot_training - Step 17987: {'lr': 0.00037518416872931007, 'samples': 3453696, 'steps': 17987, 'loss/train': 1.4162762761116028}
01/27/2022 12:46:10 - INFO - codeparrot_training - Step 17988: {'lr': 0.00037517000511977486, 'samples': 3453888, 'steps': 17988, 'loss/train': 1.028537929058075}
01/27/2022 12:46:13 - INFO - codeparrot_training - Step 17989: {'lr': 0.00037515584097405115, 'samples': 3454080, 'steps': 17989, 'loss/train': 0.6136468201875687}
01/27/2022 12:46:16 - INFO - codeparrot_training - Step 17990: {'lr': 0.00037514167629219955, 'samples': 3454272, 'steps': 17990, 'loss/train': 0.60965596139431}
01/27/2022 12:46:19 - INFO - codeparrot_training - Step 17991: {'lr': 0.0003751275110742807, 'samples': 3454464, 'steps': 17991, 'loss/train': 0.6522223949432373}
01/27/2022 12:46:22 - INFO - codeparrot_training - Step 17992: {'lr': 0.00037511334532035537, 'samples': 3454656, 'steps': 17992, 'loss/train': 0.7448626756668091}
01/27/2022 12:46:25 - INFO - codeparrot_training - Step 17993: {'lr': 0.00037509917903048417, 'samples': 3454848, 'steps': 17993, 'loss/train': 0.7819700539112091}
01/27/2022 12:46:28 - INFO - codeparrot_training - Step 17994: {'lr': 0.00037508501220472783, 'samples': 3455040, 'steps': 17994, 'loss/train': 0.9454674124717712}
01/27/2022 12:46:35 - INFO - codeparrot_training - Step 17995: {'lr': 0.000375070844843147, 'samples': 3455232, 'steps': 17995, 'loss/train': 0.8421874344348907}
01/27/2022 12:46:38 - INFO - codeparrot_training - Step 17996: {'lr': 0.00037505667694580244, 'samples': 3455424, 'steps': 17996, 'loss/train': 1.1058039665222168}
01/27/2022 12:46:41 - INFO - codeparrot_training - Step 17997: {'lr': 0.00037504250851275466, 'samples': 3455616, 'steps': 17997, 'loss/train': 0.9111911952495575}
01/27/2022 12:46:44 - INFO - codeparrot_training - Step 17998: {'lr': 0.0003750283395440647, 'samples': 3455808, 'steps': 17998, 'loss/train': 0.6563953310251236}
01/27/2022 12:46:47 - INFO - codeparrot_training - Step 17999: {'lr': 0.0003750141700397928, 'samples': 3456000, 'steps': 17999, 'loss/train': 0.7130634784698486}
01/27/2022 12:46:47 - INFO - codeparrot_training - Evaluating and saving model checkpoint