pszemraj's picture
manual upload with upload_folder.py
342bc7f
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.7867298578199051,
"eval_steps": 123,
"global_step": 1332,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"eval_loss": 2.6729655265808105,
"eval_runtime": 1.2923,
"eval_samples_per_second": 1104.214,
"eval_steps_per_second": 138.51,
"step": 1
},
{
"epoch": 0.01,
"learning_rate": 1.0344827586206898e-05,
"loss": 2.4503,
"step": 10
},
{
"epoch": 0.03,
"learning_rate": 2.0689655172413797e-05,
"loss": 2.1075,
"step": 20
},
{
"epoch": 0.04,
"learning_rate": 3.103448275862069e-05,
"loss": 1.846,
"step": 30
},
{
"epoch": 0.05,
"learning_rate": 4.137931034482759e-05,
"loss": 1.7096,
"step": 40
},
{
"epoch": 0.07,
"learning_rate": 5.172413793103448e-05,
"loss": 1.62,
"step": 50
},
{
"epoch": 0.08,
"learning_rate": 5.9999705491506956e-05,
"loss": 1.5077,
"step": 60
},
{
"epoch": 0.09,
"learning_rate": 5.998939830138442e-05,
"loss": 1.5523,
"step": 70
},
{
"epoch": 0.11,
"learning_rate": 5.996437146844947e-05,
"loss": 1.497,
"step": 80
},
{
"epoch": 0.12,
"learning_rate": 5.9924637276577847e-05,
"loss": 1.4915,
"step": 90
},
{
"epoch": 0.14,
"learning_rate": 5.987021522843196e-05,
"loss": 1.4696,
"step": 100
},
{
"epoch": 0.15,
"learning_rate": 5.9801132035888535e-05,
"loss": 1.4571,
"step": 110
},
{
"epoch": 0.16,
"learning_rate": 5.971742160692758e-05,
"loss": 1.467,
"step": 120
},
{
"epoch": 0.17,
"eval_loss": 1.0446314811706543,
"eval_runtime": 1.2693,
"eval_samples_per_second": 1124.217,
"eval_steps_per_second": 141.019,
"step": 123
},
{
"epoch": 0.18,
"learning_rate": 5.9619125028989474e-05,
"loss": 1.4675,
"step": 130
},
{
"epoch": 0.19,
"learning_rate": 5.9506290548808e-05,
"loss": 1.4741,
"step": 140
},
{
"epoch": 0.2,
"learning_rate": 5.937897354872957e-05,
"loss": 1.4539,
"step": 150
},
{
"epoch": 0.22,
"learning_rate": 5.923723651952998e-05,
"loss": 1.4204,
"step": 160
},
{
"epoch": 0.23,
"learning_rate": 5.9081149029742125e-05,
"loss": 1.5041,
"step": 170
},
{
"epoch": 0.24,
"learning_rate": 5.89107876915099e-05,
"loss": 1.4168,
"step": 180
},
{
"epoch": 0.26,
"learning_rate": 5.8726236122984704e-05,
"loss": 1.4291,
"step": 190
},
{
"epoch": 0.27,
"learning_rate": 5.852758490728334e-05,
"loss": 1.4508,
"step": 200
},
{
"epoch": 0.28,
"learning_rate": 5.831493154802725e-05,
"loss": 1.3973,
"step": 210
},
{
"epoch": 0.3,
"learning_rate": 5.808838042148501e-05,
"loss": 1.4332,
"step": 220
},
{
"epoch": 0.31,
"learning_rate": 5.784804272534145e-05,
"loss": 1.4276,
"step": 230
},
{
"epoch": 0.32,
"learning_rate": 5.75940364241188e-05,
"loss": 1.4506,
"step": 240
},
{
"epoch": 0.33,
"eval_loss": 0.9973111748695374,
"eval_runtime": 1.2436,
"eval_samples_per_second": 1147.474,
"eval_steps_per_second": 143.937,
"step": 246
},
{
"epoch": 0.34,
"learning_rate": 5.732648619127626e-05,
"loss": 1.4542,
"step": 250
},
{
"epoch": 0.35,
"learning_rate": 5.704552334801682e-05,
"loss": 1.3958,
"step": 260
},
{
"epoch": 0.37,
"learning_rate": 5.6751285798831086e-05,
"loss": 1.4643,
"step": 270
},
{
"epoch": 0.38,
"learning_rate": 5.644391796380987e-05,
"loss": 1.4258,
"step": 280
},
{
"epoch": 0.39,
"learning_rate": 5.6123570707758725e-05,
"loss": 1.3974,
"step": 290
},
{
"epoch": 0.41,
"learning_rate": 5.579040126614927e-05,
"loss": 1.4072,
"step": 300
},
{
"epoch": 0.42,
"learning_rate": 5.544457316794353e-05,
"loss": 1.4257,
"step": 310
},
{
"epoch": 0.43,
"learning_rate": 5.508625615532936e-05,
"loss": 1.4207,
"step": 320
},
{
"epoch": 0.45,
"learning_rate": 5.471562610040617e-05,
"loss": 1.4272,
"step": 330
},
{
"epoch": 0.46,
"learning_rate": 5.433286491886194e-05,
"loss": 1.3961,
"step": 340
},
{
"epoch": 0.47,
"learning_rate": 5.393816048068387e-05,
"loss": 1.4054,
"step": 350
},
{
"epoch": 0.49,
"learning_rate": 5.353170651794646e-05,
"loss": 1.3896,
"step": 360
},
{
"epoch": 0.5,
"eval_loss": 0.9749273061752319,
"eval_runtime": 1.2381,
"eval_samples_per_second": 1152.551,
"eval_steps_per_second": 144.574,
"step": 369
},
{
"epoch": 0.5,
"learning_rate": 5.3113702529722396e-05,
"loss": 1.3848,
"step": 370
},
{
"epoch": 0.51,
"learning_rate": 5.268435368416274e-05,
"loss": 1.4035,
"step": 380
},
{
"epoch": 0.53,
"learning_rate": 5.224387071779459e-05,
"loss": 1.3908,
"step": 390
},
{
"epoch": 0.54,
"learning_rate": 5.179246983208574e-05,
"loss": 1.4346,
"step": 400
},
{
"epoch": 0.56,
"learning_rate": 5.133037258732677e-05,
"loss": 1.3691,
"step": 410
},
{
"epoch": 0.57,
"learning_rate": 5.0857805793883114e-05,
"loss": 1.4064,
"step": 420
},
{
"epoch": 0.58,
"learning_rate": 5.037500140087006e-05,
"loss": 1.4202,
"step": 430
},
{
"epoch": 0.6,
"learning_rate": 4.988219638230564e-05,
"loss": 1.3841,
"step": 440
},
{
"epoch": 0.61,
"learning_rate": 4.937963262079706e-05,
"loss": 1.4063,
"step": 450
},
{
"epoch": 0.62,
"learning_rate": 4.886755678881786e-05,
"loss": 1.3588,
"step": 460
},
{
"epoch": 0.64,
"learning_rate": 4.83462202276342e-05,
"loss": 1.4261,
"step": 470
},
{
"epoch": 0.65,
"learning_rate": 4.781587882393937e-05,
"loss": 1.3587,
"step": 480
},
{
"epoch": 0.66,
"learning_rate": 4.727679288425746e-05,
"loss": 1.3725,
"step": 490
},
{
"epoch": 0.67,
"eval_loss": 0.9633959531784058,
"eval_runtime": 1.2455,
"eval_samples_per_second": 1145.725,
"eval_steps_per_second": 143.717,
"step": 492
},
{
"epoch": 0.68,
"learning_rate": 4.672922700717753e-05,
"loss": 1.387,
"step": 500
},
{
"epoch": 0.69,
"learning_rate": 4.617344995348116e-05,
"loss": 1.4212,
"step": 510
},
{
"epoch": 0.7,
"learning_rate": 4.56097345142271e-05,
"loss": 1.3582,
"step": 520
},
{
"epoch": 0.72,
"learning_rate": 4.5038357376857706e-05,
"loss": 1.3673,
"step": 530
},
{
"epoch": 0.73,
"learning_rate": 4.445959898939291e-05,
"loss": 1.3926,
"step": 540
},
{
"epoch": 0.74,
"learning_rate": 4.38737434227785e-05,
"loss": 1.3984,
"step": 550
},
{
"epoch": 0.76,
"learning_rate": 4.328107823145599e-05,
"loss": 1.3786,
"step": 560
},
{
"epoch": 0.77,
"learning_rate": 4.2681894312222835e-05,
"loss": 1.3879,
"step": 570
},
{
"epoch": 0.79,
"learning_rate": 4.2076485761452074e-05,
"loss": 1.3952,
"step": 580
},
{
"epoch": 0.8,
"learning_rate": 4.146514973074152e-05,
"loss": 1.3746,
"step": 590
},
{
"epoch": 0.81,
"learning_rate": 4.084818628106341e-05,
"loss": 1.3788,
"step": 600
},
{
"epoch": 0.83,
"learning_rate": 4.022589823548594e-05,
"loss": 1.3901,
"step": 610
},
{
"epoch": 0.83,
"eval_loss": 0.9544292688369751,
"eval_runtime": 1.2361,
"eval_samples_per_second": 1154.443,
"eval_steps_per_second": 144.811,
"step": 615
},
{
"epoch": 0.84,
"learning_rate": 3.959859103053922e-05,
"loss": 1.3985,
"step": 620
},
{
"epoch": 0.85,
"learning_rate": 3.8966572566298416e-05,
"loss": 1.3521,
"step": 630
},
{
"epoch": 0.87,
"learning_rate": 3.833015305525763e-05,
"loss": 1.3964,
"step": 640
},
{
"epoch": 0.88,
"learning_rate": 3.7689644870068936e-05,
"loss": 1.353,
"step": 650
},
{
"epoch": 0.89,
"learning_rate": 3.704536239022104e-05,
"loss": 1.374,
"step": 660
},
{
"epoch": 0.91,
"learning_rate": 3.639762184773295e-05,
"loss": 1.3879,
"step": 670
},
{
"epoch": 0.92,
"learning_rate": 3.5746741171938384e-05,
"loss": 1.3619,
"step": 680
},
{
"epoch": 0.93,
"learning_rate": 3.509303983343707e-05,
"loss": 1.3933,
"step": 690
},
{
"epoch": 0.95,
"learning_rate": 3.4436838687289594e-05,
"loss": 1.4074,
"step": 700
},
{
"epoch": 0.96,
"learning_rate": 3.3778459815532676e-05,
"loss": 1.3754,
"step": 710
},
{
"epoch": 0.97,
"learning_rate": 3.3118226369092156e-05,
"loss": 1.3612,
"step": 720
},
{
"epoch": 0.99,
"learning_rate": 3.2456462409171516e-05,
"loss": 1.3759,
"step": 730
},
{
"epoch": 1.0,
"eval_loss": 0.9486423134803772,
"eval_runtime": 1.2367,
"eval_samples_per_second": 1153.891,
"eval_steps_per_second": 144.742,
"step": 738
},
{
"epoch": 1.0,
"learning_rate": 3.1793492748193396e-05,
"loss": 1.3409,
"step": 740
},
{
"epoch": 1.02,
"learning_rate": 3.1129642790372544e-05,
"loss": 1.3312,
"step": 750
},
{
"epoch": 1.01,
"learning_rate": 3.0465238371998244e-05,
"loss": 1.3471,
"step": 760
},
{
"epoch": 1.03,
"learning_rate": 2.9800605601504653e-05,
"loss": 1.3114,
"step": 770
},
{
"epoch": 1.04,
"learning_rate": 2.913607069940759e-05,
"loss": 1.3057,
"step": 780
},
{
"epoch": 1.05,
"learning_rate": 2.8471959838186304e-05,
"loss": 1.3084,
"step": 790
},
{
"epoch": 1.07,
"learning_rate": 2.7808598982188836e-05,
"loss": 1.3462,
"step": 800
},
{
"epoch": 1.08,
"learning_rate": 2.7146313727639476e-05,
"loss": 1.3102,
"step": 810
},
{
"epoch": 1.09,
"learning_rate": 2.6485429142826975e-05,
"loss": 1.3643,
"step": 820
},
{
"epoch": 1.11,
"learning_rate": 2.582626960855189e-05,
"loss": 1.289,
"step": 830
},
{
"epoch": 1.12,
"learning_rate": 2.5169158658911295e-05,
"loss": 1.3365,
"step": 840
},
{
"epoch": 1.13,
"learning_rate": 2.4514418822499098e-05,
"loss": 1.321,
"step": 850
},
{
"epoch": 1.15,
"learning_rate": 2.386237146409995e-05,
"loss": 1.2995,
"step": 860
},
{
"epoch": 1.15,
"eval_loss": 0.9462347030639648,
"eval_runtime": 1.2314,
"eval_samples_per_second": 1158.882,
"eval_steps_per_second": 145.368,
"step": 861
},
{
"epoch": 1.16,
"learning_rate": 2.3213336626954345e-05,
"loss": 1.2977,
"step": 870
},
{
"epoch": 1.17,
"learning_rate": 2.256763287567233e-05,
"loss": 1.3168,
"step": 880
},
{
"epoch": 1.19,
"learning_rate": 2.1925577139873016e-05,
"loss": 1.3419,
"step": 890
},
{
"epoch": 1.2,
"learning_rate": 2.1287484558626633e-05,
"loss": 1.3265,
"step": 900
},
{
"epoch": 1.22,
"learning_rate": 2.0653668325775296e-05,
"loss": 1.3237,
"step": 910
},
{
"epoch": 1.23,
"learning_rate": 2.0024439536208675e-05,
"loss": 1.3329,
"step": 920
},
{
"epoch": 1.24,
"learning_rate": 1.9400107033169888e-05,
"loss": 1.3135,
"step": 930
},
{
"epoch": 1.26,
"learning_rate": 1.8780977256666445e-05,
"loss": 1.3386,
"step": 940
},
{
"epoch": 1.27,
"learning_rate": 1.816735409306088e-05,
"loss": 1.3674,
"step": 950
},
{
"epoch": 1.28,
"learning_rate": 1.7559538725914758e-05,
"loss": 1.3275,
"step": 960
},
{
"epoch": 1.3,
"learning_rate": 1.6957829488159292e-05,
"loss": 1.3255,
"step": 970
},
{
"epoch": 1.31,
"learning_rate": 1.6362521715665102e-05,
"loss": 1.2892,
"step": 980
},
{
"epoch": 1.32,
"eval_loss": 0.9443601369857788,
"eval_runtime": 1.2319,
"eval_samples_per_second": 1158.341,
"eval_steps_per_second": 145.3,
"step": 984
},
{
"epoch": 1.32,
"learning_rate": 1.5773907602283046e-05,
"loss": 1.3093,
"step": 990
},
{
"epoch": 1.34,
"learning_rate": 1.519227605642722e-05,
"loss": 1.3147,
"step": 1000
},
{
"epoch": 1.35,
"learning_rate": 1.4617912559270592e-05,
"loss": 1.344,
"step": 1010
},
{
"epoch": 1.36,
"learning_rate": 1.405109902462276e-05,
"loss": 1.3422,
"step": 1020
},
{
"epoch": 1.38,
"learning_rate": 1.3492113660558688e-05,
"loss": 1.3541,
"step": 1030
},
{
"epoch": 1.39,
"learning_rate": 1.2941230832866392e-05,
"loss": 1.3398,
"step": 1040
},
{
"epoch": 1.4,
"learning_rate": 1.2398720930380388e-05,
"loss": 1.3489,
"step": 1050
},
{
"epoch": 1.42,
"learning_rate": 1.1864850232267304e-05,
"loss": 1.283,
"step": 1060
},
{
"epoch": 1.43,
"learning_rate": 1.1339880777328485e-05,
"loss": 1.3491,
"step": 1070
},
{
"epoch": 1.45,
"learning_rate": 1.082407023538399e-05,
"loss": 1.3233,
"step": 1080
},
{
"epoch": 1.46,
"learning_rate": 1.0317671780800976e-05,
"loss": 1.3312,
"step": 1090
},
{
"epoch": 1.47,
"learning_rate": 9.82093396822857e-06,
"loss": 1.3213,
"step": 1100
},
{
"epoch": 1.48,
"eval_loss": 0.9438613653182983,
"eval_runtime": 1.2333,
"eval_samples_per_second": 1157.029,
"eval_steps_per_second": 145.135,
"step": 1107
},
{
"epoch": 1.49,
"learning_rate": 9.334100610600213e-06,
"loss": 1.3387,
"step": 1110
},
{
"epoch": 1.5,
"learning_rate": 8.857410659463456e-06,
"loss": 1.3257,
"step": 1120
},
{
"epoch": 1.51,
"learning_rate": 8.391098087695704e-06,
"loss": 1.3256,
"step": 1130
},
{
"epoch": 1.53,
"learning_rate": 7.935391774663827e-06,
"loss": 1.3479,
"step": 1140
},
{
"epoch": 1.54,
"learning_rate": 7.490515393883629e-06,
"loss": 1.3397,
"step": 1150
},
{
"epoch": 1.55,
"learning_rate": 7.0566873032346145e-06,
"loss": 1.3145,
"step": 1160
},
{
"epoch": 1.57,
"learning_rate": 6.634120437783775e-06,
"loss": 1.3372,
"step": 1170
},
{
"epoch": 1.58,
"learning_rate": 6.22302220527104e-06,
"loss": 1.3226,
"step": 1180
},
{
"epoch": 1.59,
"learning_rate": 5.823594384307744e-06,
"loss": 1.3637,
"step": 1190
},
{
"epoch": 1.61,
"learning_rate": 5.436033025337929e-06,
"loss": 1.3552,
"step": 1200
},
{
"epoch": 1.62,
"learning_rate": 5.060528354411302e-06,
"loss": 1.3379,
"step": 1210
},
{
"epoch": 1.64,
"learning_rate": 4.697264679814908e-06,
"loss": 1.3679,
"step": 1220
},
{
"epoch": 1.65,
"learning_rate": 4.346420301609418e-06,
"loss": 1.3233,
"step": 1230
},
{
"epoch": 1.65,
"eval_loss": 0.9434655904769897,
"eval_runtime": 1.2359,
"eval_samples_per_second": 1154.599,
"eval_steps_per_second": 144.831,
"step": 1230
},
{
"epoch": 1.66,
"learning_rate": 4.008167424114447e-06,
"loss": 1.3575,
"step": 1240
},
{
"epoch": 1.68,
"learning_rate": 3.682672071385791e-06,
"loss": 1.3296,
"step": 1250
},
{
"epoch": 1.69,
"learning_rate": 3.3700940057261587e-06,
"loss": 1.3691,
"step": 1260
},
{
"epoch": 1.7,
"learning_rate": 3.070586649269298e-06,
"loss": 1.3525,
"step": 1270
},
{
"epoch": 1.72,
"learning_rate": 2.78429700867612e-06,
"loss": 1.3283,
"step": 1280
},
{
"epoch": 1.73,
"learning_rate": 2.5113656029796437e-06,
"loss": 1.3397,
"step": 1290
},
{
"epoch": 1.74,
"learning_rate": 2.251926394614322e-06,
"loss": 1.3354,
"step": 1300
},
{
"epoch": 1.76,
"learning_rate": 2.0061067236634823e-06,
"loss": 1.3426,
"step": 1310
},
{
"epoch": 1.77,
"learning_rate": 1.7740272453572314e-06,
"loss": 1.364,
"step": 1320
},
{
"epoch": 1.78,
"learning_rate": 1.5558018708514477e-06,
"loss": 1.3184,
"step": 1330
}
],
"logging_steps": 10,
"max_steps": 1476,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 148,
"total_flos": 4.787173841489101e+16,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}