09:51:46 - INFO - Using default tokenizer.
09:51:46 - INFO - Using custom model: REFORMERLM
09:53:20 - INFO - Using default tokenizer.
09:53:20 - INFO - Using custom model: REFORMERLM
09:53:34 - INFO - Starting sanity testing...
09:53:35 - INFO - Finished sanity testing in 0.4904 seconds. Loss=10.221375465393066
09:53:35 - INFO - ***** Running training *****
09:53:35 - INFO -   Num vocabulary: 16000
09:53:35 - INFO -   Num sequences: 744596
09:53:35 - INFO -   Num epochs: 1
09:53:35 - INFO -   Batch size: 16
09:53:35 - INFO -   Max sequence length: 512
09:53:35 - INFO -   Total training steps: 46537
09:53:35 - INFO -   Total warmup steps: 80000
09:53:35 - INFO -   Checkpoint path: ./reformerlm-fromzero-default-16k
09:53:37 - INFO - Step=0: Loss=9.906532287597656
09:53:39 - INFO - INPUT TENSORS THAT CAUSED OOM
09:53:39 - INFO - input_ids: torch.Size([16, 512])
tensor([[  475,   114,   404,  ..., 15923, 15923, 15923],
        [  475,   114,   404,  ...,  1190, 15934,  9105],
        [  475,   114, 15967,  ...,  1883,   114, 15923],
        ...,
        [  506,  6210,   483,  ..., 15923, 15923, 15923],
        [  483,   552, 15953,  ..., 15923, 15923,  2562],
        [  483,  5738,   114,  ..., 15923, 15923, 15923]], device='cuda:0',
       dtype=torch.int32)
09:53:39 - INFO - attention_mask: torch.Size([16, 512])
tensor([[1, 1, 1,  ..., 1, 1, 1],
        [1, 1, 1,  ..., 1, 1, 1],
        [1, 1, 1,  ..., 1, 1, 1],
        ...,
        [1, 1, 1,  ..., 1, 1, 1],
        [1, 1, 1,  ..., 1, 1, 1],
        [1, 1, 1,  ..., 1, 1, 1]], device='cuda:0', dtype=torch.int32)
09:53:39 - INFO - labels: torch.Size([16, 512])
tensor([[  475,   114,   404,  ..., 15923, 15923, 15923],
        [  475,   114,   404,  ...,  1190, 15934,  9105],
        [  475,   114, 15967,  ...,  1883,   114, 15923],
        ...,
        [  506,  6210,   483,  ..., 15923, 15923, 15923],
        [  483,   552, 15953,  ..., 15923, 15923,  2562],
        [  483,  5738,   114,  ..., 15923, 15923, 15923]], device='cuda:0')
09:53:57 - INFO - Using default tokenizer.
09:53:57 - INFO - Using custom model: REFORMERLM
09:54:11 - INFO - Starting sanity testing...
09:54:11 - INFO - Finished sanity testing in 0.3815 seconds. Loss=10.222085952758789
09:54:14 - INFO - ***** Running training *****
09:54:14 - INFO -   Num vocabulary: 16000
09:54:14 - INFO -   Num sequences: 744596
09:54:14 - INFO -   Num epochs: 1
09:54:14 - INFO -   Batch size: 16
09:54:14 - INFO -   Max sequence length: 512
09:54:14 - INFO -   Total training steps: 46537
09:54:14 - INFO -   Total warmup steps: 80000
09:54:14 - INFO -   Checkpoint path: ./reformerlm-fromzero-default-16k
09:54:15 - INFO - Step=0: Loss=9.905682563781738
09:54:18 - INFO - Step=1: Loss=9.296090126037598
09:54:20 - INFO - Step=2: Loss=9.302324295043945
09:54:22 - INFO - Step=3: Loss=8.581330299377441
09:54:24 - INFO - Step=4: Loss=7.6384782791137695
09:54:26 - INFO - Step=5: Loss=7.5836052894592285
09:54:28 - INFO - Step=6: Loss=8.297425270080566
09:54:31 - INFO - Step=7: Loss=8.269856452941895
09:54:33 - INFO - Step=8: Loss=8.458547592163086
09:54:35 - INFO - Step=9: Loss=8.804967880249023
09:54:37 - INFO - Step=10: Loss=8.618348121643066
09:54:39 - INFO - Step=11: Loss=8.90758991241455
09:54:41 - INFO - Step=12: Loss=8.164220809936523
09:54:43 - INFO - Step=13: Loss=7.3936686515808105
09:54:46 - INFO - Step=14: Loss=6.3616719245910645
09:54:48 - INFO - Step=15: Loss=7.796581745147705
09:54:50 - INFO - Step=16: Loss=7.103890895843506
09:54:52 - INFO - Step=17: Loss=7.546661376953125
09:54:54 - INFO - Step=18: Loss=6.684366703033447
09:54:57 - INFO - Step=19: Loss=7.286304950714111
09:54:59 - INFO - Step=20: Loss=7.418732166290283
09:55:01 - INFO - Step=21: Loss=6.212461471557617
09:55:03 - INFO - Step=22: Loss=7.274834632873535
09:55:05 - INFO - Step=23: Loss=6.415651321411133
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09:55:10 - INFO - Step=25: Loss=6.41607141494751
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09:55:14 - INFO - Step=27: Loss=6.222983360290527
09:55:16 - INFO - Step=28: Loss=6.644105911254883
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09:56:24 - INFO - Step=59: Loss=6.195359706878662
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09:56:28 - INFO - Step=61: Loss=6.518039226531982
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09:57:12 - INFO - Step=79: Loss=5.270540237426758
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10:00:58 - INFO - Step=180: Loss=6.283404350280762
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10:01:03 - INFO - Step=182: Loss=6.620570182800293
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10:01:07 - INFO - Step=184: Loss=5.739674091339111
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10:01:11 - INFO - Step=186: Loss=6.4864044189453125
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10:01:16 - INFO - Step=188: Loss=5.818849086761475
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10:01:38 - INFO - Step=198: Loss=5.212692737579346
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10:01:43 - INFO - Step=200: Loss=6.8836212158203125
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10:03:30 - INFO - Step=247: Loss=6.912830829620361
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10:03:36 - INFO - Step=250: Loss=6.201858043670654
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10:12:54 - INFO - Saved checkpoint for step=499 (loss=6.278783798217773)...
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10:50:10 - INFO - Saved checkpoint for step=1499 (loss=5.102029323577881)...
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13:03:58 - INFO - Step=5131: Loss=4.758291721343994
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13:10:27 - INFO - Step=5306: Loss=4.79393196105957
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14:12:36 - INFO - Saved checkpoint for step=6999 (loss=5.3714447021484375)...
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15:07:41 - INFO - Saved checkpoint for step=8499 (loss=5.264986991882324)...
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16:39:25 - INFO - Saved checkpoint for step=10999 (loss=5.013448238372803)...
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16:57:32 - INFO - Saved checkpoint for step=11499 (loss=1.5670419931411743)...
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02:25:36 - INFO - Saved checkpoint for step=26999 (loss=4.075526237487793)...
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06:05:10 - INFO - Saved checkpoint for step=32999 (loss=4.183777332305908)...
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08:13:30 - INFO - Saved checkpoint for step=36499 (loss=3.767730951309204)...
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08:50:21 - INFO - Saved checkpoint for step=37499 (loss=3.0827953815460205)...
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09:08:59 - INFO - Saved checkpoint for step=37999 (loss=3.5977957248687744)...
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09:46:25 - INFO - Saved checkpoint for step=38999 (loss=4.256969928741455)...
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11:01:37 - INFO - Saved checkpoint for step=40999 (loss=3.4807209968566895)...
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11:20:22 - INFO - Saved checkpoint for step=41499 (loss=4.03502082824707)...
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11:57:59 - INFO - Saved checkpoint for step=42499 (loss=3.1439785957336426)...
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12:16:49 - INFO - Saved checkpoint for step=42999 (loss=3.3678765296936035)...
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12:35:25 - INFO - Saved checkpoint for step=43499 (loss=3.9156510829925537)...
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14:08:54 - INFO - Saved checkpoint for step=45999 (loss=3.520333766937256)...
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14:27:40 - INFO - Saved checkpoint for step=46499 (loss=3.7648329734802246)...
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