tahamajs's picture
Initial commit of fine-tuned model
1ec7ab6 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.4757785467128028,
"eval_steps": 500,
"global_step": 550,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00865051903114187,
"grad_norm": 0.653178334236145,
"learning_rate": 5.142857142857143e-05,
"loss": 2.462,
"mean_token_accuracy": 0.5231182813644409,
"num_tokens": 20480.0,
"step": 10
},
{
"epoch": 0.01730103806228374,
"grad_norm": 0.4405156075954437,
"learning_rate": 0.00010857142857142856,
"loss": 2.0497,
"mean_token_accuracy": 0.5873411521315575,
"num_tokens": 40960.0,
"step": 20
},
{
"epoch": 0.025951557093425604,
"grad_norm": 0.6160047054290771,
"learning_rate": 0.00016571428571428575,
"loss": 1.9284,
"mean_token_accuracy": 0.6067448765039444,
"num_tokens": 61440.0,
"step": 30
},
{
"epoch": 0.03460207612456748,
"grad_norm": 0.4909583330154419,
"learning_rate": 0.00019999371690018224,
"loss": 1.7739,
"mean_token_accuracy": 0.6309384137392045,
"num_tokens": 81920.0,
"step": 40
},
{
"epoch": 0.04325259515570934,
"grad_norm": 0.4441400170326233,
"learning_rate": 0.00019992304109437157,
"loss": 1.9242,
"mean_token_accuracy": 0.6014662817120552,
"num_tokens": 102400.0,
"step": 50
},
{
"epoch": 0.05190311418685121,
"grad_norm": 0.5243574976921082,
"learning_rate": 0.00019977389129787062,
"loss": 1.8928,
"mean_token_accuracy": 0.6027370542287827,
"num_tokens": 122880.0,
"step": 60
},
{
"epoch": 0.06055363321799308,
"grad_norm": 0.3737685978412628,
"learning_rate": 0.00019954638464462175,
"loss": 1.8107,
"mean_token_accuracy": 0.6185728281736373,
"num_tokens": 143360.0,
"step": 70
},
{
"epoch": 0.06920415224913495,
"grad_norm": 0.5457460284233093,
"learning_rate": 0.00019924069980567822,
"loss": 1.7227,
"mean_token_accuracy": 0.6354838699102402,
"num_tokens": 163840.0,
"step": 80
},
{
"epoch": 0.07785467128027682,
"grad_norm": 0.41756778955459595,
"learning_rate": 0.00019885707684888566,
"loss": 1.7249,
"mean_token_accuracy": 0.6385141760110855,
"num_tokens": 184320.0,
"step": 90
},
{
"epoch": 0.08650519031141868,
"grad_norm": 0.39207473397254944,
"learning_rate": 0.00019839581705034624,
"loss": 1.6423,
"mean_token_accuracy": 0.6423753708600998,
"num_tokens": 204800.0,
"step": 100
},
{
"epoch": 0.09515570934256055,
"grad_norm": 0.46543020009994507,
"learning_rate": 0.00019785728265781324,
"loss": 1.5637,
"mean_token_accuracy": 0.6588465303182602,
"num_tokens": 225280.0,
"step": 110
},
{
"epoch": 0.10380622837370242,
"grad_norm": 0.4604319930076599,
"learning_rate": 0.0001972418966062018,
"loss": 1.5936,
"mean_token_accuracy": 0.6586021468043327,
"num_tokens": 245760.0,
"step": 120
},
{
"epoch": 0.11245674740484429,
"grad_norm": 0.34409117698669434,
"learning_rate": 0.0001965501421854394,
"loss": 1.7365,
"mean_token_accuracy": 0.6300097703933716,
"num_tokens": 266240.0,
"step": 130
},
{
"epoch": 0.12110726643598616,
"grad_norm": 0.46972155570983887,
"learning_rate": 0.0001957825626609169,
"loss": 1.6823,
"mean_token_accuracy": 0.6419354841113091,
"num_tokens": 286720.0,
"step": 140
},
{
"epoch": 0.12975778546712802,
"grad_norm": 0.45500946044921875,
"learning_rate": 0.00019493976084683813,
"loss": 1.4338,
"mean_token_accuracy": 0.6832355856895447,
"num_tokens": 307200.0,
"step": 150
},
{
"epoch": 0.1384083044982699,
"grad_norm": 0.4167431890964508,
"learning_rate": 0.0001940223986328032,
"loss": 1.7327,
"mean_token_accuracy": 0.6318181827664375,
"num_tokens": 327680.0,
"step": 160
},
{
"epoch": 0.14705882352941177,
"grad_norm": 0.43620193004608154,
"learning_rate": 0.00019303119646399728,
"loss": 1.5997,
"mean_token_accuracy": 0.6583577707409859,
"num_tokens": 348160.0,
"step": 170
},
{
"epoch": 0.15570934256055363,
"grad_norm": 0.48302027583122253,
"learning_rate": 0.00019196693277539307,
"loss": 1.79,
"mean_token_accuracy": 0.617741933465004,
"num_tokens": 368640.0,
"step": 180
},
{
"epoch": 0.1643598615916955,
"grad_norm": 0.49784767627716064,
"learning_rate": 0.00019083044338041134,
"loss": 1.5624,
"mean_token_accuracy": 0.6568426251411438,
"num_tokens": 389120.0,
"step": 190
},
{
"epoch": 0.17301038062283736,
"grad_norm": 0.3815184235572815,
"learning_rate": 0.00018962262081451966,
"loss": 1.5723,
"mean_token_accuracy": 0.6639296174049377,
"num_tokens": 409600.0,
"step": 200
},
{
"epoch": 0.18166089965397925,
"grad_norm": 0.43787622451782227,
"learning_rate": 0.00018834441363428463,
"loss": 1.7278,
"mean_token_accuracy": 0.6321114301681519,
"num_tokens": 430080.0,
"step": 210
},
{
"epoch": 0.1903114186851211,
"grad_norm": 0.4128075838088989,
"learning_rate": 0.00018699682567242863,
"loss": 1.6181,
"mean_token_accuracy": 0.6524437993764878,
"num_tokens": 450560.0,
"step": 220
},
{
"epoch": 0.19896193771626297,
"grad_norm": 0.35929927229881287,
"learning_rate": 0.00018558091524947524,
"loss": 1.6799,
"mean_token_accuracy": 0.6450635358691216,
"num_tokens": 471040.0,
"step": 230
},
{
"epoch": 0.20761245674740483,
"grad_norm": 0.4328981637954712,
"learning_rate": 0.00018409779434260342,
"loss": 1.2708,
"mean_token_accuracy": 0.7201857253909111,
"num_tokens": 491520.0,
"step": 240
},
{
"epoch": 0.21626297577854672,
"grad_norm": 0.4529803991317749,
"learning_rate": 0.00018254862771236257,
"loss": 1.718,
"mean_token_accuracy": 0.6376832827925683,
"num_tokens": 512000.0,
"step": 250
},
{
"epoch": 0.22491349480968859,
"grad_norm": 0.39349377155303955,
"learning_rate": 0.00018093463198793432,
"loss": 1.6715,
"mean_token_accuracy": 0.6447702810168267,
"num_tokens": 532480.0,
"step": 260
},
{
"epoch": 0.23356401384083045,
"grad_norm": 0.3997224271297455,
"learning_rate": 0.00017925707471165992,
"loss": 1.5151,
"mean_token_accuracy": 0.6776148617267609,
"num_tokens": 552960.0,
"step": 270
},
{
"epoch": 0.2422145328719723,
"grad_norm": 0.4060993492603302,
"learning_rate": 0.00017751727334358307,
"loss": 1.5702,
"mean_token_accuracy": 0.6609481915831565,
"num_tokens": 573440.0,
"step": 280
},
{
"epoch": 0.2508650519031142,
"grad_norm": 0.369098424911499,
"learning_rate": 0.00017571659422679003,
"loss": 1.3934,
"mean_token_accuracy": 0.6983382269740105,
"num_tokens": 593920.0,
"step": 290
},
{
"epoch": 0.25951557093425603,
"grad_norm": 0.4169941842556,
"learning_rate": 0.00017385645151436,
"loss": 1.5608,
"mean_token_accuracy": 0.6624144673347473,
"num_tokens": 614400.0,
"step": 300
},
{
"epoch": 0.2681660899653979,
"grad_norm": 0.44405296444892883,
"learning_rate": 0.00017193830605876804,
"loss": 1.6689,
"mean_token_accuracy": 0.6325513184070587,
"num_tokens": 634880.0,
"step": 310
},
{
"epoch": 0.2768166089965398,
"grad_norm": 0.4252229630947113,
"learning_rate": 0.0001699636642646129,
"loss": 1.4817,
"mean_token_accuracy": 0.6717986300587654,
"num_tokens": 655360.0,
"step": 320
},
{
"epoch": 0.28546712802768165,
"grad_norm": 0.4406476318836212,
"learning_rate": 0.00016793407690557076,
"loss": 1.6879,
"mean_token_accuracy": 0.640762460231781,
"num_tokens": 675840.0,
"step": 330
},
{
"epoch": 0.29411764705882354,
"grad_norm": 0.42295652627944946,
"learning_rate": 0.00016585113790650388,
"loss": 1.5637,
"mean_token_accuracy": 0.6610459357500076,
"num_tokens": 696320.0,
"step": 340
},
{
"epoch": 0.3027681660899654,
"grad_norm": 0.4155745208263397,
"learning_rate": 0.00016371648309168097,
"loss": 1.7478,
"mean_token_accuracy": 0.6266862124204635,
"num_tokens": 716800.0,
"step": 350
},
{
"epoch": 0.31141868512110726,
"grad_norm": 0.3854524791240692,
"learning_rate": 0.0001615317889000918,
"loss": 1.3819,
"mean_token_accuracy": 0.6973118335008621,
"num_tokens": 737280.0,
"step": 360
},
{
"epoch": 0.32006920415224915,
"grad_norm": 0.4296940565109253,
"learning_rate": 0.00015929877106886535,
"loss": 1.5729,
"mean_token_accuracy": 0.6544476956129074,
"num_tokens": 757760.0,
"step": 370
},
{
"epoch": 0.328719723183391,
"grad_norm": 0.5267869830131531,
"learning_rate": 0.0001570191832858256,
"loss": 1.5866,
"mean_token_accuracy": 0.6566959977149963,
"num_tokens": 778240.0,
"step": 380
},
{
"epoch": 0.3373702422145329,
"grad_norm": 0.4024481177330017,
"learning_rate": 0.00015469481581224272,
"loss": 1.5171,
"mean_token_accuracy": 0.67121212631464,
"num_tokens": 798720.0,
"step": 390
},
{
"epoch": 0.3460207612456747,
"grad_norm": 0.48981329798698425,
"learning_rate": 0.0001523274940768614,
"loss": 1.6027,
"mean_token_accuracy": 0.6437927693128586,
"num_tokens": 819200.0,
"step": 400
},
{
"epoch": 0.3546712802768166,
"grad_norm": 0.39708444476127625,
"learning_rate": 0.00014991907724231122,
"loss": 1.7412,
"mean_token_accuracy": 0.6313782975077629,
"num_tokens": 839680.0,
"step": 410
},
{
"epoch": 0.3633217993079585,
"grad_norm": 0.3914325535297394,
"learning_rate": 0.0001474714567450234,
"loss": 1.445,
"mean_token_accuracy": 0.6826490700244904,
"num_tokens": 860160.0,
"step": 420
},
{
"epoch": 0.3719723183391003,
"grad_norm": 0.43571996688842773,
"learning_rate": 0.00014498655480980226,
"loss": 1.4578,
"mean_token_accuracy": 0.6875855386257171,
"num_tokens": 880640.0,
"step": 430
},
{
"epoch": 0.3806228373702422,
"grad_norm": 0.37934359908103943,
"learning_rate": 0.00014246632294021705,
"loss": 1.332,
"mean_token_accuracy": 0.7121700882911682,
"num_tokens": 901120.0,
"step": 440
},
{
"epoch": 0.3892733564013841,
"grad_norm": 0.4126007854938507,
"learning_rate": 0.00013991274038599927,
"loss": 1.6188,
"mean_token_accuracy": 0.6448191583156586,
"num_tokens": 921600.0,
"step": 450
},
{
"epoch": 0.39792387543252594,
"grad_norm": 0.3285645544528961,
"learning_rate": 0.00013732781258865066,
"loss": 1.399,
"mean_token_accuracy": 0.695943309366703,
"num_tokens": 942080.0,
"step": 460
},
{
"epoch": 0.40657439446366783,
"grad_norm": 0.48543041944503784,
"learning_rate": 0.00013471356960648092,
"loss": 1.693,
"mean_token_accuracy": 0.6381231769919395,
"num_tokens": 962560.0,
"step": 470
},
{
"epoch": 0.41522491349480967,
"grad_norm": 0.28301766514778137,
"learning_rate": 0.00013207206452031303,
"loss": 1.3507,
"mean_token_accuracy": 0.7064516082406044,
"num_tokens": 983040.0,
"step": 480
},
{
"epoch": 0.42387543252595156,
"grad_norm": 0.44277122616767883,
"learning_rate": 0.00012940537182110797,
"loss": 1.6078,
"mean_token_accuracy": 0.6580645143985748,
"num_tokens": 1003520.0,
"step": 490
},
{
"epoch": 0.43252595155709345,
"grad_norm": 0.4079855978488922,
"learning_rate": 0.00012671558578077497,
"loss": 1.7974,
"mean_token_accuracy": 0.6107038110494614,
"num_tokens": 1024000.0,
"step": 500
},
{
"epoch": 0.4411764705882353,
"grad_norm": 0.46380290389060974,
"learning_rate": 0.00012400481880744704,
"loss": 1.3914,
"mean_token_accuracy": 0.6991202354431152,
"num_tokens": 1044480.0,
"step": 510
},
{
"epoch": 0.44982698961937717,
"grad_norm": 0.5048119425773621,
"learning_rate": 0.00012127519978651344,
"loss": 1.5477,
"mean_token_accuracy": 0.6672043025493621,
"num_tokens": 1064960.0,
"step": 520
},
{
"epoch": 0.458477508650519,
"grad_norm": 0.386057585477829,
"learning_rate": 0.00011852887240871145,
"loss": 1.6146,
"mean_token_accuracy": 0.645259040594101,
"num_tokens": 1085440.0,
"step": 530
},
{
"epoch": 0.4671280276816609,
"grad_norm": 0.42855167388916016,
"learning_rate": 0.00011576799348659118,
"loss": 1.1688,
"mean_token_accuracy": 0.7390029281377792,
"num_tokens": 1105920.0,
"step": 540
},
{
"epoch": 0.4757785467128028,
"grad_norm": 0.6189476251602173,
"learning_rate": 0.00011299473126067508,
"loss": 1.4494,
"mean_token_accuracy": 0.6824944317340851,
"num_tokens": 1126335.0,
"step": 550
}
],
"logging_steps": 10,
"max_steps": 1156,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 50,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1.921343634459648e+16,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}