mythomax-7b-sft-qlora / trainer_state.json
youndukn's picture
Model save
fac63cd verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9992821249102656,
"eval_steps": 500,
"global_step": 696,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 2.8571428571428573e-06,
"loss": 1.7519,
"step": 1
},
{
"epoch": 0.01,
"learning_rate": 1.4285714285714285e-05,
"loss": 1.7506,
"step": 5
},
{
"epoch": 0.01,
"learning_rate": 2.857142857142857e-05,
"loss": 1.7565,
"step": 10
},
{
"epoch": 0.02,
"learning_rate": 4.2857142857142856e-05,
"loss": 1.7016,
"step": 15
},
{
"epoch": 0.03,
"learning_rate": 5.714285714285714e-05,
"loss": 1.6424,
"step": 20
},
{
"epoch": 0.04,
"learning_rate": 7.142857142857143e-05,
"loss": 1.5629,
"step": 25
},
{
"epoch": 0.04,
"learning_rate": 8.571428571428571e-05,
"loss": 1.4719,
"step": 30
},
{
"epoch": 0.05,
"learning_rate": 0.0001,
"loss": 1.4184,
"step": 35
},
{
"epoch": 0.06,
"learning_rate": 0.00011428571428571428,
"loss": 1.3769,
"step": 40
},
{
"epoch": 0.06,
"learning_rate": 0.00012857142857142858,
"loss": 1.3403,
"step": 45
},
{
"epoch": 0.07,
"learning_rate": 0.00014285714285714287,
"loss": 1.3172,
"step": 50
},
{
"epoch": 0.08,
"learning_rate": 0.00015714285714285716,
"loss": 1.2753,
"step": 55
},
{
"epoch": 0.09,
"learning_rate": 0.00017142857142857143,
"loss": 1.2784,
"step": 60
},
{
"epoch": 0.09,
"learning_rate": 0.00018571428571428572,
"loss": 1.2564,
"step": 65
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 1.2147,
"step": 70
},
{
"epoch": 0.11,
"learning_rate": 0.0001999685197404432,
"loss": 1.1353,
"step": 75
},
{
"epoch": 0.11,
"learning_rate": 0.00019987409878190752,
"loss": 1.0273,
"step": 80
},
{
"epoch": 0.12,
"learning_rate": 0.00019971679657231872,
"loss": 1.0207,
"step": 85
},
{
"epoch": 0.13,
"learning_rate": 0.00019949671214996445,
"loss": 1.0054,
"step": 90
},
{
"epoch": 0.14,
"learning_rate": 0.00019921398408113955,
"loss": 0.9751,
"step": 95
},
{
"epoch": 0.14,
"learning_rate": 0.00019886879037290384,
"loss": 0.9702,
"step": 100
},
{
"epoch": 0.15,
"learning_rate": 0.00019846134836100796,
"loss": 0.9702,
"step": 105
},
{
"epoch": 0.16,
"learning_rate": 0.00019799191457305768,
"loss": 0.9506,
"step": 110
},
{
"epoch": 0.17,
"learning_rate": 0.0001974607845670028,
"loss": 0.938,
"step": 115
},
{
"epoch": 0.17,
"learning_rate": 0.0001968682927450523,
"loss": 0.948,
"step": 120
},
{
"epoch": 0.18,
"learning_rate": 0.00019621481214313297,
"loss": 0.9369,
"step": 125
},
{
"epoch": 0.19,
"learning_rate": 0.00019550075419602408,
"loss": 0.9349,
"step": 130
},
{
"epoch": 0.19,
"learning_rate": 0.00019472656847831595,
"loss": 0.9434,
"step": 135
},
{
"epoch": 0.2,
"learning_rate": 0.0001938927424213553,
"loss": 0.933,
"step": 140
},
{
"epoch": 0.21,
"learning_rate": 0.00019299980100635612,
"loss": 0.9293,
"step": 145
},
{
"epoch": 0.22,
"learning_rate": 0.00019204830643386868,
"loss": 0.9368,
"step": 150
},
{
"epoch": 0.22,
"learning_rate": 0.00019103885776981515,
"loss": 0.936,
"step": 155
},
{
"epoch": 0.23,
"learning_rate": 0.00018997209056831462,
"loss": 0.9275,
"step": 160
},
{
"epoch": 0.24,
"learning_rate": 0.00018884867647153483,
"loss": 0.9281,
"step": 165
},
{
"epoch": 0.24,
"learning_rate": 0.000187669322786823,
"loss": 0.9405,
"step": 170
},
{
"epoch": 0.25,
"learning_rate": 0.00018643477204138113,
"loss": 0.9332,
"step": 175
},
{
"epoch": 0.26,
"learning_rate": 0.0001851458015147673,
"loss": 0.9252,
"step": 180
},
{
"epoch": 0.27,
"learning_rate": 0.0001838032227495163,
"loss": 0.9356,
"step": 185
},
{
"epoch": 0.27,
"learning_rate": 0.00018240788104018822,
"loss": 0.9296,
"step": 190
},
{
"epoch": 0.28,
"learning_rate": 0.0001809606549011667,
"loss": 0.9186,
"step": 195
},
{
"epoch": 0.29,
"learning_rate": 0.00017946245551354157,
"loss": 0.9185,
"step": 200
},
{
"epoch": 0.29,
"learning_rate": 0.00017791422615142467,
"loss": 0.9257,
"step": 205
},
{
"epoch": 0.3,
"learning_rate": 0.00017631694158805946,
"loss": 0.9197,
"step": 210
},
{
"epoch": 0.31,
"learning_rate": 0.00017467160748209872,
"loss": 0.9177,
"step": 215
},
{
"epoch": 0.32,
"learning_rate": 0.00017297925974443673,
"loss": 0.9119,
"step": 220
},
{
"epoch": 0.32,
"learning_rate": 0.00017124096388599437,
"loss": 0.9127,
"step": 225
},
{
"epoch": 0.33,
"learning_rate": 0.00016945781434686783,
"loss": 0.9173,
"step": 230
},
{
"epoch": 0.34,
"learning_rate": 0.00016763093380726347,
"loss": 0.9088,
"step": 235
},
{
"epoch": 0.34,
"learning_rate": 0.00016576147248065267,
"loss": 0.9163,
"step": 240
},
{
"epoch": 0.35,
"learning_rate": 0.0001638506073895912,
"loss": 0.9356,
"step": 245
},
{
"epoch": 0.36,
"learning_rate": 0.00016189954162466012,
"loss": 0.9207,
"step": 250
},
{
"epoch": 0.37,
"learning_rate": 0.0001599095035869931,
"loss": 0.8999,
"step": 255
},
{
"epoch": 0.37,
"learning_rate": 0.00015788174621486934,
"loss": 0.9062,
"step": 260
},
{
"epoch": 0.38,
"learning_rate": 0.00015581754619485664,
"loss": 0.9154,
"step": 265
},
{
"epoch": 0.39,
"learning_rate": 0.00015371820315800315,
"loss": 0.9107,
"step": 270
},
{
"epoch": 0.39,
"learning_rate": 0.0001515850388615829,
"loss": 0.9128,
"step": 275
},
{
"epoch": 0.4,
"learning_rate": 0.00014941939635691035,
"loss": 0.9175,
"step": 280
},
{
"epoch": 0.41,
"learning_rate": 0.0001472226391437487,
"loss": 0.912,
"step": 285
},
{
"epoch": 0.42,
"learning_rate": 0.00014499615031184296,
"loss": 0.9009,
"step": 290
},
{
"epoch": 0.42,
"learning_rate": 0.00014274133167011975,
"loss": 0.8795,
"step": 295
},
{
"epoch": 0.43,
"learning_rate": 0.0001404596028641009,
"loss": 0.9032,
"step": 300
},
{
"epoch": 0.44,
"learning_rate": 0.00013815240048208752,
"loss": 0.9191,
"step": 305
},
{
"epoch": 0.45,
"learning_rate": 0.0001358211771506763,
"loss": 0.9191,
"step": 310
},
{
"epoch": 0.45,
"learning_rate": 0.00013346740062017838,
"loss": 0.9069,
"step": 315
},
{
"epoch": 0.46,
"learning_rate": 0.00013109255284051615,
"loss": 0.9149,
"step": 320
},
{
"epoch": 0.47,
"learning_rate": 0.0001286981290281798,
"loss": 0.9084,
"step": 325
},
{
"epoch": 0.47,
"learning_rate": 0.00012628563672483146,
"loss": 0.9009,
"step": 330
},
{
"epoch": 0.48,
"learning_rate": 0.00012385659484814883,
"loss": 0.8942,
"step": 335
},
{
"epoch": 0.49,
"learning_rate": 0.00012141253273550696,
"loss": 0.8829,
"step": 340
},
{
"epoch": 0.5,
"learning_rate": 0.00011895498918109944,
"loss": 0.8982,
"step": 345
},
{
"epoch": 0.5,
"learning_rate": 0.00011648551146710556,
"loss": 0.8976,
"step": 350
},
{
"epoch": 0.51,
"learning_rate": 0.00011400565438951343,
"loss": 0.9095,
"step": 355
},
{
"epoch": 0.52,
"learning_rate": 0.0001115169792792124,
"loss": 0.9031,
"step": 360
},
{
"epoch": 0.52,
"learning_rate": 0.00010902105301897098,
"loss": 0.884,
"step": 365
},
{
"epoch": 0.53,
"learning_rate": 0.0001065194470569193,
"loss": 0.9121,
"step": 370
},
{
"epoch": 0.54,
"learning_rate": 0.00010401373641715724,
"loss": 0.9012,
"step": 375
},
{
"epoch": 0.55,
"learning_rate": 0.00010150549870811107,
"loss": 0.8929,
"step": 380
},
{
"epoch": 0.55,
"learning_rate": 9.899631312926302e-05,
"loss": 0.8894,
"step": 385
},
{
"epoch": 0.56,
"learning_rate": 9.648775947687912e-05,
"loss": 0.897,
"step": 390
},
{
"epoch": 0.57,
"learning_rate": 9.398141714936103e-05,
"loss": 0.9,
"step": 395
},
{
"epoch": 0.57,
"learning_rate": 9.147886415284903e-05,
"loss": 0.9047,
"step": 400
},
{
"epoch": 0.58,
"learning_rate": 8.898167610770076e-05,
"loss": 0.8909,
"step": 405
},
{
"epoch": 0.59,
"learning_rate": 8.649142525647272e-05,
"loss": 0.8981,
"step": 410
},
{
"epoch": 0.6,
"learning_rate": 8.400967947402802e-05,
"loss": 0.8939,
"step": 415
},
{
"epoch": 0.6,
"learning_rate": 8.153800128039441e-05,
"loss": 0.897,
"step": 420
},
{
"epoch": 0.61,
"learning_rate": 7.907794685699346e-05,
"loss": 0.8875,
"step": 425
},
{
"epoch": 0.62,
"learning_rate": 7.663106506686057e-05,
"loss": 0.8817,
"step": 430
},
{
"epoch": 0.62,
"learning_rate": 7.419889647947293e-05,
"loss": 0.8855,
"step": 435
},
{
"epoch": 0.63,
"learning_rate": 7.178297240079882e-05,
"loss": 0.8979,
"step": 440
},
{
"epoch": 0.64,
"learning_rate": 6.938481390917966e-05,
"loss": 0.9036,
"step": 445
},
{
"epoch": 0.65,
"learning_rate": 6.700593089765086e-05,
"loss": 0.9007,
"step": 450
},
{
"epoch": 0.65,
"learning_rate": 6.46478211233056e-05,
"loss": 0.892,
"step": 455
},
{
"epoch": 0.66,
"learning_rate": 6.231196926429913e-05,
"loss": 0.8998,
"step": 460
},
{
"epoch": 0.67,
"learning_rate": 5.999984598508756e-05,
"loss": 0.8866,
"step": 465
},
{
"epoch": 0.67,
"learning_rate": 5.7712907010490036e-05,
"loss": 0.9021,
"step": 470
},
{
"epoch": 0.68,
"learning_rate": 5.54525922091568e-05,
"loss": 0.8825,
"step": 475
},
{
"epoch": 0.69,
"learning_rate": 5.322032468702036e-05,
"loss": 0.8957,
"step": 480
},
{
"epoch": 0.7,
"learning_rate": 5.1017509891300605e-05,
"loss": 0.8824,
"step": 485
},
{
"epoch": 0.7,
"learning_rate": 4.8845534725628086e-05,
"loss": 0.9008,
"step": 490
},
{
"epoch": 0.71,
"learning_rate": 4.6705766676842164e-05,
"loss": 0.9084,
"step": 495
},
{
"epoch": 0.72,
"learning_rate": 4.4599552954014145e-05,
"loss": 0.8933,
"step": 500
},
{
"epoch": 0.73,
"learning_rate": 4.252821964023757e-05,
"loss": 0.8908,
"step": 505
},
{
"epoch": 0.73,
"learning_rate": 4.049307085771931e-05,
"loss": 0.8978,
"step": 510
},
{
"epoch": 0.74,
"learning_rate": 3.849538794669767e-05,
"loss": 0.9073,
"step": 515
},
{
"epoch": 0.75,
"learning_rate": 3.653642865870359e-05,
"loss": 0.8674,
"step": 520
},
{
"epoch": 0.75,
"learning_rate": 3.461742636467409e-05,
"loss": 0.8867,
"step": 525
},
{
"epoch": 0.76,
"learning_rate": 3.273958927841525e-05,
"loss": 0.9034,
"step": 530
},
{
"epoch": 0.77,
"learning_rate": 3.090409969590468e-05,
"loss": 0.8864,
"step": 535
},
{
"epoch": 0.78,
"learning_rate": 2.9112113250911844e-05,
"loss": 0.8897,
"step": 540
},
{
"epoch": 0.78,
"learning_rate": 2.7364758187404892e-05,
"loss": 0.8996,
"step": 545
},
{
"epoch": 0.79,
"learning_rate": 2.5663134649202647e-05,
"loss": 0.8953,
"step": 550
},
{
"epoch": 0.8,
"learning_rate": 2.4008313987318053e-05,
"loss": 0.8849,
"step": 555
},
{
"epoch": 0.8,
"learning_rate": 2.2401338085430323e-05,
"loss": 0.8805,
"step": 560
},
{
"epoch": 0.81,
"learning_rate": 2.0843218703909194e-05,
"loss": 0.8845,
"step": 565
},
{
"epoch": 0.82,
"learning_rate": 1.933493684280574e-05,
"loss": 0.8797,
"step": 570
},
{
"epoch": 0.83,
"learning_rate": 1.7877442124209454e-05,
"loss": 0.8839,
"step": 575
},
{
"epoch": 0.83,
"learning_rate": 1.647165219436113e-05,
"loss": 0.8952,
"step": 580
},
{
"epoch": 0.84,
"learning_rate": 1.5118452145898331e-05,
"loss": 0.8777,
"step": 585
},
{
"epoch": 0.85,
"learning_rate": 1.3818693960596185e-05,
"loss": 0.8757,
"step": 590
},
{
"epoch": 0.85,
"learning_rate": 1.2573195972955365e-05,
"loss": 0.9027,
"step": 595
},
{
"epoch": 0.86,
"learning_rate": 1.1382742354974429e-05,
"loss": 0.8923,
"step": 600
},
{
"epoch": 0.87,
"learning_rate": 1.0248082622431087e-05,
"loss": 0.889,
"step": 605
},
{
"epoch": 0.88,
"learning_rate": 9.169931162983137e-06,
"loss": 0.9013,
"step": 610
},
{
"epoch": 0.88,
"learning_rate": 8.148966786386269e-06,
"loss": 0.8847,
"step": 615
},
{
"epoch": 0.89,
"learning_rate": 7.185832297111938e-06,
"loss": 0.8829,
"step": 620
},
{
"epoch": 0.9,
"learning_rate": 6.281134089634344e-06,
"loss": 0.8866,
"step": 625
},
{
"epoch": 0.9,
"learning_rate": 5.435441766641369e-06,
"loss": 0.8926,
"step": 630
},
{
"epoch": 0.91,
"learning_rate": 4.649287780409639e-06,
"loss": 0.8915,
"step": 635
},
{
"epoch": 0.92,
"learning_rate": 3.923167097569935e-06,
"loss": 0.8806,
"step": 640
},
{
"epoch": 0.93,
"learning_rate": 3.2575368874735446e-06,
"loss": 0.8876,
"step": 645
},
{
"epoch": 0.93,
"learning_rate": 2.652816234356159e-06,
"loss": 0.8796,
"step": 650
},
{
"epoch": 0.94,
"learning_rate": 2.109385873480141e-06,
"loss": 0.8857,
"step": 655
},
{
"epoch": 0.95,
"learning_rate": 1.6275879514217052e-06,
"loss": 0.8826,
"step": 660
},
{
"epoch": 0.95,
"learning_rate": 1.2077258106536925e-06,
"loss": 0.8796,
"step": 665
},
{
"epoch": 0.96,
"learning_rate": 8.50063798559475e-07,
"loss": 0.8886,
"step": 670
},
{
"epoch": 0.97,
"learning_rate": 5.54827100998534e-07,
"loss": 0.8973,
"step": 675
},
{
"epoch": 0.98,
"learning_rate": 3.222016005282824e-07,
"loss": 0.8975,
"step": 680
},
{
"epoch": 0.98,
"learning_rate": 1.5233375937140358e-07,
"loss": 0.8847,
"step": 685
},
{
"epoch": 0.99,
"learning_rate": 4.5330527202480654e-08,
"loss": 0.8973,
"step": 690
},
{
"epoch": 1.0,
"learning_rate": 1.2592738119709958e-09,
"loss": 0.8947,
"step": 695
},
{
"epoch": 1.0,
"eval_loss": 0.8894284963607788,
"eval_runtime": 454.212,
"eval_samples_per_second": 1.367,
"eval_steps_per_second": 0.172,
"step": 696
},
{
"epoch": 1.0,
"step": 696,
"total_flos": 8.836123491796255e+17,
"train_loss": 0.9641761271090343,
"train_runtime": 14026.4016,
"train_samples_per_second": 0.397,
"train_steps_per_second": 0.05
}
],
"logging_steps": 5,
"max_steps": 696,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 100,
"total_flos": 8.836123491796255e+17,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}