|
|
| ***************************************** |
| Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. |
| ***************************************** |
| train: 27839 of 27839 rows fit in 3072 tokens |
| val: 300 of 300 rows fit in 3072 tokens |
|
Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 4/4 [00:00<00:00, 130.07it/s] |
| train: 27839 of 27839 rows fit in 3072 tokens |
| trainable params: 40,370,176 || all params: 7,655,986,688 || trainable%: 0.5273 |
| val: 300 of 300 rows fit in 3072 tokens |
|
Loading checkpoint shards: 0%| | 0/4 [00:00<?, ?it/s]
Loading checkpoint shards: 100%|██████████| 4/4 [00:00<00:00, 128.48it/s] |
| trainable params: 40,370,176 || all params: 7,655,986,688 || trainable%: 0.5273 |
|
0%| | 0/870 [00:00<?, ?it/s]`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`. |
| `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`. |
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{'loss': 0.2436, 'grad_norm': 0.23789972066879272, 'learning_rate': 6.666666666666667e-05, 'epoch': 0.01} |
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{'loss': 0.0853, 'grad_norm': 0.12851466238498688, 'learning_rate': 0.00014074074074074076, 'epoch': 0.02} |
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3%|▎ | 30/870 [03:49<1:59:05, 8.51s/it]
{'loss': 0.0627, 'grad_norm': 0.16485165059566498, 'learning_rate': 0.0001999972223815946, 'epoch': 0.03} |
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5%|▍ | 40/870 [05:05<1:39:36, 7.20s/it]
{'loss': 0.048, 'grad_norm': 0.08059470355510712, 'learning_rate': 0.00019990002193828922, 'epoch': 0.05} |
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6%|▌ | 50/870 [06:01<1:05:50, 4.82s/it]
{'loss': 0.0421, 'grad_norm': 0.10289835184812546, 'learning_rate': 0.0001996640948394666, 'epoch': 0.06} |
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7%|▋ | 60/870 [07:31<1:48:41, 8.05s/it]
{'loss': 0.05, 'grad_norm': 0.10482244938611984, 'learning_rate': 0.00019928976870644988, 'epoch': 0.07} |
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8%|▊ | 70/870 [08:38<1:24:14, 6.32s/it]
{'loss': 0.0377, 'grad_norm': 0.10887732356786728, 'learning_rate': 0.00019877756334905984, 'epoch': 0.08} |
|
8%|▊ | 70/870 [08:38<1:24:14, 6.32s/it]
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9%|▉ | 80/870 [09:53<1:57:10, 8.90s/it]
{'loss': 0.0427, 'grad_norm': 0.10280067473649979, 'learning_rate': 0.00019812819004377862, 'epoch': 0.09} |
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10%|█ | 90/870 [11:11<1:34:03, 7.23s/it]
{'loss': 0.0375, 'grad_norm': 0.1345912218093872, 'learning_rate': 0.0001973425505460321, 'epoch': 0.1} |
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11%|█▏ | 100/870 [12:07<1:00:45, 4.73s/it]
{'loss': 0.0357, 'grad_norm': 0.3418385982513428, 'learning_rate': 0.00019642173583796267, 'epoch': 0.11} |
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0%| | 0/38 [00:00<?, ?it/s][A |
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[A{'eval_loss': 0.052477214485406876, 'eval_runtime': 20.6792, 'eval_samples_per_second': 14.507, 'eval_steps_per_second': 1.838, 'epoch': 0.11} |
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[A
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{'loss': 0.047, 'grad_norm': 0.07799140363931656, 'learning_rate': 0.00019536702461343168, 'epoch': 0.13} |
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{'loss': 0.0327, 'grad_norm': 0.1051594689488411, 'learning_rate': 0.00019417988150235494, 'epoch': 0.14} |
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15%|█▍ | 130/870 [16:20<1:46:36, 8.64s/it]
{'loss': 0.0418, 'grad_norm': 0.08026126027107239, 'learning_rate': 0.00019286195503683708, 'epoch': 0.15} |
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{'loss': 0.037, 'grad_norm': 0.07206742465496063, 'learning_rate': 0.0001914150753619294, 'epoch': 0.16} |
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{'loss': 0.033, 'grad_norm': 0.1900654435157776, 'learning_rate': 0.00018984125169419007, 'epoch': 0.17} |
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{'loss': 0.0348, 'grad_norm': 0.11883541941642761, 'learning_rate': 0.00018814266953157556, 'epoch': 0.18} |
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{'loss': 0.0296, 'grad_norm': 0.11700455099344254, 'learning_rate': 0.00018632168761853826, 'epoch': 0.2} |
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{'loss': 0.0305, 'grad_norm': 0.15726420283317566, 'learning_rate': 0.00018438083467054443, 'epoch': 0.21} |
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{'loss': 0.0319, 'grad_norm': 0.18836188316345215, 'learning_rate': 0.00018232280586256102, 'epoch': 0.22} |
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{'loss': 0.0259, 'grad_norm': 0.08308509737253189, 'learning_rate': 0.0001801504590863877, 'epoch': 0.23} |
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[A{'eval_loss': 0.02992151863873005, 'eval_runtime': 20.3901, 'eval_samples_per_second': 14.713, 'eval_steps_per_second': 1.864, 'epoch': 0.23} |
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[A
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{'loss': 0.0313, 'grad_norm': 0.05260265991091728, 'learning_rate': 0.00017786681098203158, 'epoch': 0.24} |
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{'loss': 0.0229, 'grad_norm': 0.0633602887392044, 'learning_rate': 0.00017547503274863496, 'epoch': 0.25} |
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{'loss': 0.028, 'grad_norm': 0.11880059540271759, 'learning_rate': 0.00017297844574077446, 'epoch': 0.26} |
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{'loss': 0.0264, 'grad_norm': 0.05497035011649132, 'learning_rate': 0.0001703805168562453, 'epoch': 0.28} |
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{'loss': 0.0213, 'grad_norm': 0.07999792695045471, 'learning_rate': 0.00016768485372173697, 'epoch': 0.29} |
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{'loss': 0.0284, 'grad_norm': 0.0921878069639206, 'learning_rate': 0.00016489519968308457, 'epoch': 0.3} |
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{'loss': 0.0216, 'grad_norm': 0.057495057582855225, 'learning_rate': 0.00016201542860705336, 'epoch': 0.31} |
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{'loss': 0.0235, 'grad_norm': 0.0719340518116951, 'learning_rate': 0.00015904953950187457, 'epoch': 0.32} |
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{'loss': 0.0232, 'grad_norm': 0.11424289643764496, 'learning_rate': 0.00015600165096400307, 'epoch': 0.33} |
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{'loss': 0.0185, 'grad_norm': 0.11561417579650879, 'learning_rate': 0.0001528759954588082, 'epoch': 0.34} |
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[A{'eval_loss': 0.034754782915115356, 'eval_runtime': 20.413, 'eval_samples_per_second': 14.697, 'eval_steps_per_second': 1.862, 'epoch': 0.34} |
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[A
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{'loss': 0.029, 'grad_norm': 0.08098062872886658, 'learning_rate': 0.00014967691344313996, 'epoch': 0.36} |
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{'loss': 0.021, 'grad_norm': 0.07463961839675903, 'learning_rate': 0.00014640884733793216, 'epoch': 0.37} |
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{'loss': 0.0247, 'grad_norm': 0.055279821157455444, 'learning_rate': 0.00014307633535921317, 'epoch': 0.38} |
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{'loss': 0.0203, 'grad_norm': 0.18279875814914703, 'learning_rate': 0.00013968400521608969, 'epoch': 0.39} |
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{'loss': 0.0151, 'grad_norm': 0.07882044464349747, 'learning_rate': 0.0001362365676844557, 'epoch': 0.4} |
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{'loss': 0.0261, 'grad_norm': 0.07913503050804138, 'learning_rate': 0.00013273881006535074, 'epoch': 0.41} |
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{'loss': 0.0176, 'grad_norm': 0.06874211877584457, 'learning_rate': 0.00012919558953705055, 'epoch': 0.43} |
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{'loss': 0.0187, 'grad_norm': 0.06528666615486145, 'learning_rate': 0.0001256118264101228, 'epoch': 0.44} |
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{'loss': 0.0158, 'grad_norm': 0.08248886466026306, 'learning_rate': 0.00012199249729481357, 'epoch': 0.45} |
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{'loss': 0.0132, 'grad_norm': 0.24866768717765808, 'learning_rate': 0.00011834262819025326, 'epoch': 0.46} |
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[A{'eval_loss': 0.018751109018921852, 'eval_runtime': 20.2674, 'eval_samples_per_second': 14.802, 'eval_steps_per_second': 1.875, 'epoch': 0.46} |
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[A
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{'loss': 0.0212, 'grad_norm': 0.11699023842811584, 'learning_rate': 0.00011466728750507805, 'epoch': 0.47} |
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{'loss': 0.0176, 'grad_norm': 0.08753076195716858, 'learning_rate': 0.00011097157901915953, 'epoch': 0.48} |
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{'loss': 0.0226, 'grad_norm': 0.10365070402622223, 'learning_rate': 0.00010726063479621573, 'epoch': 0.49} |
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{'loss': 0.0189, 'grad_norm': 0.18819937109947205, 'learning_rate': 0.00010353960805714566, 'epoch': 0.51} |
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{'loss': 0.0129, 'grad_norm': 0.10421279072761536, 'learning_rate': 9.98136660239837e-05, 'epoch': 0.52} |
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{'loss': 0.0224, 'grad_norm': 0.07066013664007187, 'learning_rate': 9.60879827444116e-05, 'epoch': 0.53} |
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{'loss': 0.0158, 'grad_norm': 0.04448763281106949, 'learning_rate': 9.236773190679163e-05, 'epoch': 0.54} |
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{'loss': 0.0216, 'grad_norm': 0.06225728988647461, 'learning_rate': 8.865807965569879e-05, 'epoch': 0.55} |
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{'loss': 0.022, 'grad_norm': 0.12085612863302231, 'learning_rate': 8.496417741792913e-05, 'epoch': 0.56} |
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{'loss': 0.0152, 'grad_norm': 0.04715719074010849, 'learning_rate': 8.129115474894523e-05, 'epoch': 0.57} |
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[A{'eval_loss': 0.01953456737101078, 'eval_runtime': 20.3994, 'eval_samples_per_second': 14.706, 'eval_steps_per_second': 1.863, 'epoch': 0.57} |
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[A
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{'loss': 0.0214, 'grad_norm': 0.08593538403511047, 'learning_rate': 7.764411220969414e-05, 'epoch': 0.59} |
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{'loss': 0.0174, 'grad_norm': 0.08397146314382553, 'learning_rate': 7.402811428368832e-05, 'epoch': 0.6} |
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{'loss': 0.0163, 'grad_norm': 0.07681377232074738, 'learning_rate': 7.044818234418576e-05, 'epoch': 0.61} |
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{'loss': 0.0135, 'grad_norm': 0.061246950179338455, 'learning_rate': 6.69092876812353e-05, 'epoch': 0.62} |
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{'loss': 0.0111, 'grad_norm': 0.1086721196770668, 'learning_rate': 6.341634459827052e-05, 'epoch': 0.63} |
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{'loss': 0.0185, 'grad_norm': 0.10877221822738647, 'learning_rate': 5.9974203587837986e-05, 'epoch': 0.64} |
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{'loss': 0.0134, 'grad_norm': 0.25607386231422424, 'learning_rate': 5.658764459593691e-05, 'epoch': 0.66} |
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{'loss': 0.0155, 'grad_norm': 0.06046198308467865, 'learning_rate': 5.3261370384323984e-05, 'epoch': 0.67} |
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{'loss': 0.0156, 'grad_norm': 0.08047638833522797, 'learning_rate': 5.000000000000002e-05, 'epoch': 0.68} |
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{'loss': 0.0118, 'grad_norm': 0.09806278347969055, 'learning_rate': 4.680806236094756e-05, 'epoch': 0.69} |
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[A{'eval_loss': 0.016160501167178154, 'eval_runtime': 20.2233, 'eval_samples_per_second': 14.834, 'eval_steps_per_second': 1.879, 'epoch': 0.69} |
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[A
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{'loss': 0.0154, 'grad_norm': 0.12618760764598846, 'learning_rate': 4.3689989967026935e-05, 'epoch': 0.7} |
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{'loss': 0.0105, 'grad_norm': 0.16422143578529358, 'learning_rate': 4.065011274476349e-05, 'epoch': 0.71} |
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{'loss': 0.0155, 'grad_norm': 0.3045821487903595, 'learning_rate': 3.769265203457375e-05, 'epoch': 0.72} |
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{'loss': 0.0158, 'grad_norm': 0.12457603216171265, 'learning_rate': 3.482171472878062e-05, 'epoch': 0.74} |
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{'loss': 0.0096, 'grad_norm': 0.04488776624202728, 'learning_rate': 3.20412875685569e-05, 'epoch': 0.75} |
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{'loss': 0.0164, 'grad_norm': 0.05114804208278656, 'learning_rate': 2.935523160771786e-05, 'epoch': 0.76} |
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{'loss': 0.0115, 'grad_norm': 0.03534635156393051, 'learning_rate': 2.6767276851049816e-05, 'epoch': 0.77} |
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{'loss': 0.0138, 'grad_norm': 0.06601171940565109, 'learning_rate': 2.4281017074620584e-05, 'epoch': 0.78} |
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{'loss': 0.0142, 'grad_norm': 0.10086585581302643, 'learning_rate': 2.1899904835264896e-05, 'epoch': 0.79} |
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{'loss': 0.0098, 'grad_norm': 0.11490526050329208, 'learning_rate': 1.962724667617436e-05, 'epoch': 0.8} |
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[A{'eval_loss': 0.012033017352223396, 'eval_runtime': 20.3491, 'eval_samples_per_second': 14.743, 'eval_steps_per_second': 1.867, 'epoch': 0.8} |
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[A
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{'loss': 0.0183, 'grad_norm': 0.17799951136112213, 'learning_rate': 1.746619853524991e-05, 'epoch': 0.82} |
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{'loss': 0.0125, 'grad_norm': 0.1625465303659439, 'learning_rate': 1.5419761362593332e-05, 'epoch': 0.83} |
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{'loss': 0.0111, 'grad_norm': 0.04061046242713928, 'learning_rate': 1.3490776953223105e-05, 'epoch': 0.84} |
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{'loss': 0.0102, 'grad_norm': 0.026591680943965912, 'learning_rate': 1.1681924000801791e-05, 'epoch': 0.85} |
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{'loss': 0.0098, 'grad_norm': 0.04456641525030136, 'learning_rate': 9.995714377854936e-06, 'epoch': 0.86} |
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{'loss': 0.0162, 'grad_norm': 0.19221937656402588, 'learning_rate': 8.434489647647092e-06, 'epoch': 0.87} |
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[A{'eval_loss': 0.013403651304543018, 'eval_runtime': 20.315, 'eval_samples_per_second': 14.767, 'eval_steps_per_second': 1.871, 'epoch': 0.92} |
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[A
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{'loss': 0.016, 'grad_norm': 0.32974982261657715, 'learning_rate': 2.572783141929469e-06, 'epoch': 0.93} |
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{'loss': 0.0095, 'grad_norm': 0.24235671758651733, 'learning_rate': 1.8007242804619628e-06, 'epoch': 0.94} |
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{'loss': 0.01, 'grad_norm': 0.08694616705179214, 'learning_rate': 1.165030324932137e-06, 'epoch': 0.95} |
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{'loss': 0.0113, 'grad_norm': 0.09477345645427704, 'learning_rate': 6.665840348696994e-07, 'epoch': 0.97} |
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{'loss': 0.0086, 'grad_norm': 0.048642598092556, 'learning_rate': 3.060775801604354e-07, 'epoch': 0.98} |
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{'loss': 0.0148, 'grad_norm': 0.06935633718967438, 'learning_rate': 8.401157986109853e-08, 'epoch': 0.99} |
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{'loss': 0.0087, 'grad_norm': 0.06433246284723282, 'learning_rate': 6.944070123582336e-10, 'epoch': 1.0} |
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{'train_runtime': 6469.3899, 'train_samples_per_second': 4.303, 'train_steps_per_second': 0.134, 'train_loss': 0.024751038421159503, 'epoch': 1.0} |
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| [rank0]:[W1024 16:20:21.677824557 ProcessGroupNCCL.cpp:1538] Warning: WARNING: destroy_process_group() was not called before program exit, which can leak resources. For more info, please see https://pytorch.org/docs/stable/distributed.html#shutdown (function operator()) |
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