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/home/rjo21/miniconda3/envs/finesm/lib/python3.9/site-packages/transformers/optimization.py:411: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
  warnings.warn(

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  4%|▎         | 1981/53620 [01:54<48:35, 17.71it/s]
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  4%|▎         | 1987/53620 [01:54<48:37, 17.70it/s]
  4%|▎         | 1989/53620 [01:54<48:35, 17.71it/s]
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  4%|▎         | 2000/53620 [01:55<48:34, 17.71it/s]
  4%|▎         | 2001/53620 [01:55<1:32:20,  9.32it/s]
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  4%|▎         | 2007/53620 [01:56<1:03:34, 13.53it/s]
  4%|▎         | 2009/53620 [01:56<59:04, 14.56it/s]  
  4%|▍         | 2011/53620 [01:56<55:54, 15.38it/s]
  4%|▍         | 2013/53620 [01:56<53:42, 16.01it/s]
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  5%|▍         | 2679/53620 [02:34<47:58, 17.69it/s]{'loss': 0.4441, 'learning_rate': 0.000990675121223424, 'epoch': 0.19}
{'loss': 0.4405, 'learning_rate': 0.0009813502424468482, 'epoch': 0.37}
{'loss': 0.4162, 'learning_rate': 0.0009720253636702722, 'epoch': 0.56}
{'loss': 0.4395, 'learning_rate': 0.0009627004848936964, 'epoch': 0.75}
{'loss': 0.4358, 'learning_rate': 0.0009533756061171205, 'epoch': 0.93}


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 10%|▉         | 5360/53620 [05:44<45:21, 17.74it/s]{'eval_loss': 0.4177284240722656, 'eval_runtime': 37.0755, 'eval_samples_per_second': 144.624, 'eval_steps_per_second': 18.098, 'epoch': 1.0}
{'loss': 0.4327, 'learning_rate': 0.0009440507273405447, 'epoch': 1.12}
{'loss': 0.4465, 'learning_rate': 0.0009347258485639687, 'epoch': 1.31}
{'loss': 0.4461, 'learning_rate': 0.0009254009697873927, 'epoch': 1.49}
{'loss': 0.4281, 'learning_rate': 0.0009160760910108169, 'epoch': 1.68}
{'loss': 0.4353, 'learning_rate': 0.0009067512122342409, 'epoch': 1.86}


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 15%|█▍        | 8041/53620 [08:54<42:47, 17.75it/s]{'eval_loss': 0.41897135972976685, 'eval_runtime': 36.9951, 'eval_samples_per_second': 144.938, 'eval_steps_per_second': 18.138, 'epoch': 2.0}
{'loss': 0.4174, 'learning_rate': 0.0008974263334576651, 'epoch': 2.05}
{'loss': 0.4357, 'learning_rate': 0.0008881014546810892, 'epoch': 2.24}
{'loss': 0.4269, 'learning_rate': 0.0008787765759045132, 'epoch': 2.42}
{'loss': 0.4179, 'learning_rate': 0.0008694516971279373, 'epoch': 2.61}
{'loss': 0.4195, 'learning_rate': 0.0008601268183513614, 'epoch': 2.8}
{'loss': 0.412, 'learning_rate': 0.0008508019395747856, 'epoch': 2.98}


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 20%|█▉        | 10722/53620 [12:04<40:15, 17.76it/s]{'eval_loss': 0.4080427587032318, 'eval_runtime': 36.9682, 'eval_samples_per_second': 145.043, 'eval_steps_per_second': 18.151, 'epoch': 3.0}
{'loss': 0.4339, 'learning_rate': 0.0008414770607982097, 'epoch': 3.17}
{'loss': 0.4187, 'learning_rate': 0.0008321521820216338, 'epoch': 3.36}
{'loss': 0.4271, 'learning_rate': 0.0008228273032450578, 'epoch': 3.54}
{'loss': 0.4192, 'learning_rate': 0.0008135024244684819, 'epoch': 3.73}
{'loss': 0.4131, 'learning_rate': 0.000804177545691906, 'epoch': 3.92}


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 25%|██▍       | 13403/53620 [15:13<37:47, 17.74it/s]{'eval_loss': 0.42126333713531494, 'eval_runtime': 36.9861, 'eval_samples_per_second': 144.973, 'eval_steps_per_second': 18.142, 'epoch': 4.0}
{'loss': 0.4179, 'learning_rate': 0.0007948526669153301, 'epoch': 4.1}
{'loss': 0.4297, 'learning_rate': 0.0007855277881387543, 'epoch': 4.29}
{'loss': 0.4069, 'learning_rate': 0.0007762029093621783, 'epoch': 4.48}
{'loss': 0.4245, 'learning_rate': 0.0007668780305856023, 'epoch': 4.66}
{'loss': 0.4124, 'learning_rate': 0.0007575531518090265, 'epoch': 4.85}


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 30%|██▉       | 16084/53620 [18:23<35:13, 17.76it/s]{'eval_loss': 0.522628128528595, 'eval_runtime': 36.9896, 'eval_samples_per_second': 144.96, 'eval_steps_per_second': 18.14, 'epoch': 5.0}
{'loss': 0.4211, 'learning_rate': 0.0007482282730324506, 'epoch': 5.04}
{'loss': 0.395, 'learning_rate': 0.0007389033942558748, 'epoch': 5.22}
{'loss': 0.3985, 'learning_rate': 0.0007295785154792987, 'epoch': 5.41}
{'loss': 0.422, 'learning_rate': 0.0007202536367027229, 'epoch': 5.59}
{'loss': 0.4165, 'learning_rate': 0.000710928757926147, 'epoch': 5.78}
{'loss': 0.4216, 'learning_rate': 0.000701603879149571, 'epoch': 5.97}


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 35%|███▍      | 18765/53620 [21:33<32:44, 17.75it/s]{'eval_loss': 0.40028536319732666, 'eval_runtime': 36.9907, 'eval_samples_per_second': 144.955, 'eval_steps_per_second': 18.14, 'epoch': 6.0}
{'loss': 0.3957, 'learning_rate': 0.0006922790003729952, 'epoch': 6.15}
{'loss': 0.4161, 'learning_rate': 0.0006829541215964192, 'epoch': 6.34}
{'loss': 0.4081, 'learning_rate': 0.0006736292428198434, 'epoch': 6.53}
{'loss': 0.4263, 'learning_rate': 0.0006643043640432674, 'epoch': 6.71}
{'loss': 0.3977, 'learning_rate': 0.0006549794852666916, 'epoch': 6.9}


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 40%|███▉      | 21446/53620 [24:43<30:13, 17.74it/s]{'eval_loss': 0.3986433446407318, 'eval_runtime': 36.9785, 'eval_samples_per_second': 145.003, 'eval_steps_per_second': 18.146, 'epoch': 7.0}
{'loss': 0.3864, 'learning_rate': 0.0006456546064901157, 'epoch': 7.09}
{'loss': 0.4173, 'learning_rate': 0.0006363297277135397, 'epoch': 7.27}
{'loss': 0.4064, 'learning_rate': 0.0006270048489369638, 'epoch': 7.46}
{'loss': 0.419, 'learning_rate': 0.0006176799701603879, 'epoch': 7.65}
{'loss': 0.4028, 'learning_rate': 0.0006083550913838121, 'epoch': 7.83}


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 45%|████▍     | 24127/53620 [27:53<27:41, 17.75it/s]{'eval_loss': 0.39167413115501404, 'eval_runtime': 36.9829, 'eval_samples_per_second': 144.986, 'eval_steps_per_second': 18.144, 'epoch': 8.0}
{'loss': 0.4058, 'learning_rate': 0.0005990302126072361, 'epoch': 8.02}
{'loss': 0.3997, 'learning_rate': 0.0005897053338306602, 'epoch': 8.21}
{'loss': 0.4125, 'learning_rate': 0.0005803804550540843, 'epoch': 8.39}
{'loss': 0.3959, 'learning_rate': 0.0005710555762775084, 'epoch': 8.58}
{'loss': 0.404, 'learning_rate': 0.0005617306975009325, 'epoch': 8.77}
{'loss': 0.3941, 'learning_rate': 0.0005524058187243566, 'epoch': 8.95}


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 50%|████▉     | 26808/53620 [31:03<25:09, 17.76it/s]{'eval_loss': 0.4945333003997803, 'eval_runtime': 36.9767, 'eval_samples_per_second': 145.01, 'eval_steps_per_second': 18.147, 'epoch': 9.0}
{'loss': 0.3824, 'learning_rate': 0.0005430809399477808, 'epoch': 9.14}
{'loss': 0.4192, 'learning_rate': 0.0005337560611712047, 'epoch': 9.32}
{'loss': 0.4025, 'learning_rate': 0.0005244311823946288, 'epoch': 9.51}
{'loss': 0.3983, 'learning_rate': 0.000515106303618053, 'epoch': 9.7}
{'loss': 0.398, 'learning_rate': 0.0005057814248414771, 'epoch': 9.88}


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{'loss': 0.3971, 'learning_rate': 0.0004964565460649011, 'epoch': 10.07}
{'loss': 0.4135, 'learning_rate': 0.00048713166728832526, 'epoch': 10.26}
{'loss': 0.3927, 'learning_rate': 0.0004778067885117494, 'epoch': 10.44}
{'loss': 0.3951, 'learning_rate': 0.00046848190973517345, 'epoch': 10.63}
{'loss': 0.3965, 'learning_rate': 0.0004591570309585976, 'epoch': 10.82}


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{'loss': 0.3921, 'learning_rate': 0.00044983215218202165, 'epoch': 11.0}
{'loss': 0.3905, 'learning_rate': 0.0004405072734054457, 'epoch': 11.19}
{'loss': 0.4008, 'learning_rate': 0.00043118239462886984, 'epoch': 11.38}
{'loss': 0.387, 'learning_rate': 0.0004218575158522939, 'epoch': 11.56}
{'loss': 0.4051, 'learning_rate': 0.00041253263707571804, 'epoch': 11.75}
{'loss': 0.3722, 'learning_rate': 0.0004032077582991421, 'epoch': 11.94}


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 65%|██████▍   | 34851/53620 [40:32<17:37, 17.75it/s]{'eval_loss': 0.3820453882217407, 'eval_runtime': 36.9797, 'eval_samples_per_second': 144.998, 'eval_steps_per_second': 18.145, 'epoch': 12.0}
{'loss': 0.3892, 'learning_rate': 0.00039388287952256624, 'epoch': 12.12}
{'loss': 0.3909, 'learning_rate': 0.0003845580007459903, 'epoch': 12.31}
{'loss': 0.423, 'learning_rate': 0.0003752331219694144, 'epoch': 12.5}
{'loss': 0.3883, 'learning_rate': 0.0003659082431928385, 'epoch': 12.68}
{'loss': 0.369, 'learning_rate': 0.0003565833644162626, 'epoch': 12.87}


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 70%|██████▉   | 37532/53620 [43:42<15:10, 17.68it/s]{'eval_loss': 0.3899955749511719, 'eval_runtime': 37.0007, 'eval_samples_per_second': 144.916, 'eval_steps_per_second': 18.135, 'epoch': 13.0}
{'loss': 0.3839, 'learning_rate': 0.0003472584856396867, 'epoch': 13.05}
{'loss': 0.4017, 'learning_rate': 0.0003379336068631108, 'epoch': 13.24}
{'loss': 0.3763, 'learning_rate': 0.00032860872808653484, 'epoch': 13.43}
{'loss': 0.384, 'learning_rate': 0.00031928384930995896, 'epoch': 13.61}
{'loss': 0.3758, 'learning_rate': 0.0003099589705333831, 'epoch': 13.8}
{'loss': 0.3806, 'learning_rate': 0.00030063409175680716, 'epoch': 13.99}


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{'loss': 0.367, 'learning_rate': 0.0002913092129802313, 'epoch': 14.17}
{'loss': 0.3822, 'learning_rate': 0.00028198433420365535, 'epoch': 14.36}
{'loss': 0.369, 'learning_rate': 0.0002726594554270794, 'epoch': 14.55}
{'loss': 0.3979, 'learning_rate': 0.00026333457665050355, 'epoch': 14.73}
{'loss': 0.3955, 'learning_rate': 0.0002540096978739276, 'epoch': 14.92}


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{'loss': 0.3788, 'learning_rate': 0.00024468481909735174, 'epoch': 15.11}
{'loss': 0.3801, 'learning_rate': 0.00023535994032077584, 'epoch': 15.29}
{'loss': 0.3891, 'learning_rate': 0.0002260350615441999, 'epoch': 15.48}
{'loss': 0.3914, 'learning_rate': 0.00021671018276762404, 'epoch': 15.67}
{'loss': 0.3746, 'learning_rate': 0.00020738530399104813, 'epoch': 15.85}


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{'loss': 0.3619, 'learning_rate': 0.0001980604252144722, 'epoch': 16.04}
{'loss': 0.3859, 'learning_rate': 0.0001887355464378963, 'epoch': 16.23}
{'loss': 0.3808, 'learning_rate': 0.00017941066766132043, 'epoch': 16.41}
{'loss': 0.381, 'learning_rate': 0.0001700857888847445, 'epoch': 16.6}
{'loss': 0.3733, 'learning_rate': 0.0001607609101081686, 'epoch': 16.78}
{'loss': 0.3718, 'learning_rate': 0.0001514360313315927, 'epoch': 16.97}


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 90%|████████▉ | 48256/53620 [56:21<05:02, 17.76it/s]{'eval_loss': 0.3765714764595032, 'eval_runtime': 36.9994, 'eval_samples_per_second': 144.921, 'eval_steps_per_second': 18.135, 'epoch': 17.0}
{'loss': 0.3723, 'learning_rate': 0.00014211115255501676, 'epoch': 17.16}
{'loss': 0.3804, 'learning_rate': 0.0001327862737784409, 'epoch': 17.34}
{'loss': 0.3677, 'learning_rate': 0.000123461395001865, 'epoch': 17.53}
{'loss': 0.3742, 'learning_rate': 0.00011413651622528907, 'epoch': 17.72}
{'loss': 0.3673, 'learning_rate': 0.00010481163744871317, 'epoch': 17.9}


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{'loss': 0.3915, 'learning_rate': 9.548675867213727e-05, 'epoch': 18.09}
{'loss': 0.3821, 'learning_rate': 8.616187989556136e-05, 'epoch': 18.28}
{'loss': 0.3553, 'learning_rate': 7.683700111898545e-05, 'epoch': 18.46}
{'loss': 0.3718, 'learning_rate': 6.751212234240956e-05, 'epoch': 18.65}
{'loss': 0.3598, 'learning_rate': 5.8187243565833643e-05, 'epoch': 18.84}


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100%|█████████▉| 53618/53620 [1:02:41<00:00, 17.76it/s]{'eval_loss': 0.37231209874153137, 'eval_runtime': 36.9858, 'eval_samples_per_second': 144.975, 'eval_steps_per_second': 18.142, 'epoch': 19.0}
{'loss': 0.3549, 'learning_rate': 4.886236478925774e-05, 'epoch': 19.02}
{'loss': 0.379, 'learning_rate': 3.953748601268184e-05, 'epoch': 19.21}
{'loss': 0.3653, 'learning_rate': 3.021260723610593e-05, 'epoch': 19.4}
{'loss': 0.3586, 'learning_rate': 2.0887728459530027e-05, 'epoch': 19.58}
{'loss': 0.3639, 'learning_rate': 1.1562849682954122e-05, 'epoch': 19.77}
{'loss': 0.3742, 'learning_rate': 2.237970906378217e-06, 'epoch': 19.96}


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{'eval_loss': 0.37200844287872314, 'eval_runtime': 36.9871, 'eval_samples_per_second': 144.969, 'eval_steps_per_second': 18.141, 'epoch': 20.0}
{'train_runtime': 3798.2262, 'train_samples_per_second': 112.926, 'train_steps_per_second': 14.117, 'train_loss': 0.39866488114171666, 'epoch': 20.0}