whisper-small-keyword-spotting-m / trainer_state.json
qmeeus's picture
End of training
d52b8af
{
"best_metric": 0.9998782269849001,
"best_model_checkpoint": "outputs/whisper-small-keyword-spotting-m/checkpoint-1068",
"epoch": 4.996491228070175,
"global_step": 1780,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"learning_rate": 5.617977528089888e-05,
"loss": 0.6888,
"step": 10
},
{
"epoch": 0.06,
"learning_rate": 0.00011235955056179776,
"loss": 0.6607,
"step": 20
},
{
"epoch": 0.08,
"learning_rate": 0.00016853932584269662,
"loss": 0.6216,
"step": 30
},
{
"epoch": 0.11,
"learning_rate": 0.00022471910112359551,
"loss": 0.5691,
"step": 40
},
{
"epoch": 0.14,
"learning_rate": 0.0002808988764044944,
"loss": 0.4873,
"step": 50
},
{
"epoch": 0.17,
"learning_rate": 0.00033707865168539324,
"loss": 0.4088,
"step": 60
},
{
"epoch": 0.2,
"learning_rate": 0.00039325842696629214,
"loss": 0.3054,
"step": 70
},
{
"epoch": 0.22,
"learning_rate": 0.00044943820224719103,
"loss": 0.2488,
"step": 80
},
{
"epoch": 0.25,
"learning_rate": 0.0005056179775280899,
"loss": 0.1907,
"step": 90
},
{
"epoch": 0.28,
"learning_rate": 0.0005617977528089888,
"loss": 0.1314,
"step": 100
},
{
"epoch": 0.31,
"learning_rate": 0.0006179775280898876,
"loss": 0.1293,
"step": 110
},
{
"epoch": 0.34,
"learning_rate": 0.0006741573033707865,
"loss": 0.113,
"step": 120
},
{
"epoch": 0.36,
"learning_rate": 0.0007303370786516854,
"loss": 0.0941,
"step": 130
},
{
"epoch": 0.39,
"learning_rate": 0.0007865168539325843,
"loss": 0.0778,
"step": 140
},
{
"epoch": 0.42,
"learning_rate": 0.0008426966292134832,
"loss": 0.073,
"step": 150
},
{
"epoch": 0.45,
"learning_rate": 0.0008988764044943821,
"loss": 0.0464,
"step": 160
},
{
"epoch": 0.48,
"learning_rate": 0.000955056179775281,
"loss": 0.0567,
"step": 170
},
{
"epoch": 0.51,
"learning_rate": 0.0009987515605493133,
"loss": 0.071,
"step": 180
},
{
"epoch": 0.53,
"learning_rate": 0.00099250936329588,
"loss": 0.0482,
"step": 190
},
{
"epoch": 0.56,
"learning_rate": 0.000986267166042447,
"loss": 0.0383,
"step": 200
},
{
"epoch": 0.59,
"learning_rate": 0.0009800249687890138,
"loss": 0.0461,
"step": 210
},
{
"epoch": 0.62,
"learning_rate": 0.0009737827715355806,
"loss": 0.0349,
"step": 220
},
{
"epoch": 0.65,
"learning_rate": 0.0009675405742821474,
"loss": 0.0265,
"step": 230
},
{
"epoch": 0.67,
"learning_rate": 0.0009612983770287141,
"loss": 0.024,
"step": 240
},
{
"epoch": 0.7,
"learning_rate": 0.000955056179775281,
"loss": 0.041,
"step": 250
},
{
"epoch": 0.73,
"learning_rate": 0.0009488139825218477,
"loss": 0.0247,
"step": 260
},
{
"epoch": 0.76,
"learning_rate": 0.0009425717852684144,
"loss": 0.0253,
"step": 270
},
{
"epoch": 0.79,
"learning_rate": 0.0009363295880149813,
"loss": 0.0209,
"step": 280
},
{
"epoch": 0.81,
"learning_rate": 0.0009300873907615481,
"loss": 0.0219,
"step": 290
},
{
"epoch": 0.84,
"learning_rate": 0.0009238451935081149,
"loss": 0.0198,
"step": 300
},
{
"epoch": 0.87,
"learning_rate": 0.0009176029962546817,
"loss": 0.0218,
"step": 310
},
{
"epoch": 0.9,
"learning_rate": 0.0009113607990012485,
"loss": 0.0206,
"step": 320
},
{
"epoch": 0.93,
"learning_rate": 0.0009051186017478152,
"loss": 0.0237,
"step": 330
},
{
"epoch": 0.95,
"learning_rate": 0.0008988764044943821,
"loss": 0.0184,
"step": 340
},
{
"epoch": 0.98,
"learning_rate": 0.0008926342072409488,
"loss": 0.0146,
"step": 350
},
{
"epoch": 1.0,
"eval_accuracy": 0.9924500730638091,
"eval_loss": 0.023062072694301605,
"eval_runtime": 311.5051,
"eval_samples_per_second": 26.362,
"eval_steps_per_second": 0.825,
"step": 356
},
{
"epoch": 1.01,
"learning_rate": 0.0008863920099875155,
"loss": 0.0222,
"step": 360
},
{
"epoch": 1.04,
"learning_rate": 0.0008801498127340825,
"loss": 0.0225,
"step": 370
},
{
"epoch": 1.07,
"learning_rate": 0.0008739076154806492,
"loss": 0.0191,
"step": 380
},
{
"epoch": 1.09,
"learning_rate": 0.000867665418227216,
"loss": 0.0195,
"step": 390
},
{
"epoch": 1.12,
"learning_rate": 0.0008614232209737828,
"loss": 0.0145,
"step": 400
},
{
"epoch": 1.15,
"learning_rate": 0.0008551810237203496,
"loss": 0.0106,
"step": 410
},
{
"epoch": 1.18,
"learning_rate": 0.0008489388264669163,
"loss": 0.0108,
"step": 420
},
{
"epoch": 1.21,
"learning_rate": 0.0008426966292134832,
"loss": 0.0179,
"step": 430
},
{
"epoch": 1.24,
"learning_rate": 0.00083645443196005,
"loss": 0.0153,
"step": 440
},
{
"epoch": 1.26,
"learning_rate": 0.0008302122347066168,
"loss": 0.018,
"step": 450
},
{
"epoch": 1.29,
"learning_rate": 0.0008239700374531835,
"loss": 0.021,
"step": 460
},
{
"epoch": 1.32,
"learning_rate": 0.0008177278401997503,
"loss": 0.0178,
"step": 470
},
{
"epoch": 1.35,
"learning_rate": 0.0008114856429463171,
"loss": 0.0348,
"step": 480
},
{
"epoch": 1.38,
"learning_rate": 0.0008052434456928838,
"loss": 0.0146,
"step": 490
},
{
"epoch": 1.4,
"learning_rate": 0.0007990012484394507,
"loss": 0.0109,
"step": 500
},
{
"epoch": 1.43,
"learning_rate": 0.0007927590511860175,
"loss": 0.0131,
"step": 510
},
{
"epoch": 1.46,
"learning_rate": 0.0007865168539325843,
"loss": 0.0163,
"step": 520
},
{
"epoch": 1.49,
"learning_rate": 0.0007802746566791511,
"loss": 0.018,
"step": 530
},
{
"epoch": 1.52,
"learning_rate": 0.0007740324594257179,
"loss": 0.0071,
"step": 540
},
{
"epoch": 1.54,
"learning_rate": 0.0007677902621722846,
"loss": 0.0119,
"step": 550
},
{
"epoch": 1.57,
"learning_rate": 0.0007615480649188515,
"loss": 0.0101,
"step": 560
},
{
"epoch": 1.6,
"learning_rate": 0.0007553058676654182,
"loss": 0.0209,
"step": 570
},
{
"epoch": 1.63,
"learning_rate": 0.000749063670411985,
"loss": 0.0133,
"step": 580
},
{
"epoch": 1.66,
"learning_rate": 0.0007428214731585519,
"loss": 0.0099,
"step": 590
},
{
"epoch": 1.68,
"learning_rate": 0.0007365792759051186,
"loss": 0.0174,
"step": 600
},
{
"epoch": 1.71,
"learning_rate": 0.0007303370786516854,
"loss": 0.0113,
"step": 610
},
{
"epoch": 1.74,
"learning_rate": 0.0007240948813982522,
"loss": 0.0081,
"step": 620
},
{
"epoch": 1.77,
"learning_rate": 0.000717852684144819,
"loss": 0.014,
"step": 630
},
{
"epoch": 1.8,
"learning_rate": 0.0007116104868913857,
"loss": 0.0129,
"step": 640
},
{
"epoch": 1.82,
"learning_rate": 0.0007053682896379526,
"loss": 0.0074,
"step": 650
},
{
"epoch": 1.85,
"learning_rate": 0.0006991260923845194,
"loss": 0.0115,
"step": 660
},
{
"epoch": 1.88,
"learning_rate": 0.0006928838951310862,
"loss": 0.012,
"step": 670
},
{
"epoch": 1.91,
"learning_rate": 0.000686641697877653,
"loss": 0.0071,
"step": 680
},
{
"epoch": 1.94,
"learning_rate": 0.0006803995006242197,
"loss": 0.0056,
"step": 690
},
{
"epoch": 1.96,
"learning_rate": 0.0006741573033707865,
"loss": 0.0128,
"step": 700
},
{
"epoch": 1.99,
"learning_rate": 0.0006679151061173533,
"loss": 0.0124,
"step": 710
},
{
"epoch": 2.0,
"eval_accuracy": 0.9976863127131028,
"eval_loss": 0.010450506582856178,
"eval_runtime": 311.6252,
"eval_samples_per_second": 26.352,
"eval_steps_per_second": 0.825,
"step": 712
},
{
"epoch": 2.02,
"learning_rate": 0.0006616729088639201,
"loss": 0.0105,
"step": 720
},
{
"epoch": 2.05,
"learning_rate": 0.0006554307116104869,
"loss": 0.0057,
"step": 730
},
{
"epoch": 2.08,
"learning_rate": 0.0006491885143570538,
"loss": 0.0165,
"step": 740
},
{
"epoch": 2.11,
"learning_rate": 0.0006429463171036205,
"loss": 0.0098,
"step": 750
},
{
"epoch": 2.13,
"learning_rate": 0.0006367041198501873,
"loss": 0.0069,
"step": 760
},
{
"epoch": 2.16,
"learning_rate": 0.000630461922596754,
"loss": 0.0118,
"step": 770
},
{
"epoch": 2.19,
"learning_rate": 0.0006242197253433209,
"loss": 0.0146,
"step": 780
},
{
"epoch": 2.22,
"learning_rate": 0.0006179775280898876,
"loss": 0.0066,
"step": 790
},
{
"epoch": 2.25,
"learning_rate": 0.0006117353308364544,
"loss": 0.0125,
"step": 800
},
{
"epoch": 2.27,
"learning_rate": 0.0006054931335830213,
"loss": 0.0115,
"step": 810
},
{
"epoch": 2.3,
"learning_rate": 0.000599250936329588,
"loss": 0.0065,
"step": 820
},
{
"epoch": 2.33,
"learning_rate": 0.0005930087390761548,
"loss": 0.0082,
"step": 830
},
{
"epoch": 2.36,
"learning_rate": 0.0005867665418227216,
"loss": 0.0132,
"step": 840
},
{
"epoch": 2.39,
"learning_rate": 0.0005805243445692884,
"loss": 0.0101,
"step": 850
},
{
"epoch": 2.41,
"learning_rate": 0.0005742821473158551,
"loss": 0.0115,
"step": 860
},
{
"epoch": 2.44,
"learning_rate": 0.0005680399500624221,
"loss": 0.0123,
"step": 870
},
{
"epoch": 2.47,
"learning_rate": 0.0005617977528089888,
"loss": 0.0095,
"step": 880
},
{
"epoch": 2.5,
"learning_rate": 0.0005555555555555556,
"loss": 0.0088,
"step": 890
},
{
"epoch": 2.53,
"learning_rate": 0.0005493133583021224,
"loss": 0.0111,
"step": 900
},
{
"epoch": 2.55,
"learning_rate": 0.0005430711610486891,
"loss": 0.0066,
"step": 910
},
{
"epoch": 2.58,
"learning_rate": 0.0005368289637952559,
"loss": 0.01,
"step": 920
},
{
"epoch": 2.61,
"learning_rate": 0.0005305867665418227,
"loss": 0.0143,
"step": 930
},
{
"epoch": 2.64,
"learning_rate": 0.0005243445692883895,
"loss": 0.0062,
"step": 940
},
{
"epoch": 2.67,
"learning_rate": 0.0005181023720349563,
"loss": 0.0104,
"step": 950
},
{
"epoch": 2.69,
"learning_rate": 0.0005118601747815232,
"loss": 0.0051,
"step": 960
},
{
"epoch": 2.72,
"learning_rate": 0.0005056179775280899,
"loss": 0.01,
"step": 970
},
{
"epoch": 2.75,
"learning_rate": 0.0004993757802746567,
"loss": 0.0072,
"step": 980
},
{
"epoch": 2.78,
"learning_rate": 0.0004931335830212235,
"loss": 0.006,
"step": 990
},
{
"epoch": 2.81,
"learning_rate": 0.0004868913857677903,
"loss": 0.0066,
"step": 1000
},
{
"epoch": 2.84,
"learning_rate": 0.00048064918851435705,
"loss": 0.0085,
"step": 1010
},
{
"epoch": 2.86,
"learning_rate": 0.00047440699126092385,
"loss": 0.0124,
"step": 1020
},
{
"epoch": 2.89,
"learning_rate": 0.00046816479400749064,
"loss": 0.0082,
"step": 1030
},
{
"epoch": 2.92,
"learning_rate": 0.00046192259675405744,
"loss": 0.0083,
"step": 1040
},
{
"epoch": 2.95,
"learning_rate": 0.00045568039950062423,
"loss": 0.0075,
"step": 1050
},
{
"epoch": 2.98,
"learning_rate": 0.00044943820224719103,
"loss": 0.0091,
"step": 1060
},
{
"epoch": 3.0,
"eval_accuracy": 0.9998782269849001,
"eval_loss": 0.0014641775051131845,
"eval_runtime": 311.5509,
"eval_samples_per_second": 26.358,
"eval_steps_per_second": 0.825,
"step": 1068
},
{
"epoch": 3.0,
"learning_rate": 0.00044319600499375777,
"loss": 0.01,
"step": 1070
},
{
"epoch": 3.03,
"learning_rate": 0.0004369538077403246,
"loss": 0.0126,
"step": 1080
},
{
"epoch": 3.06,
"learning_rate": 0.0004307116104868914,
"loss": 0.0112,
"step": 1090
},
{
"epoch": 3.09,
"learning_rate": 0.00042446941323345816,
"loss": 0.0145,
"step": 1100
},
{
"epoch": 3.12,
"learning_rate": 0.000418227215980025,
"loss": 0.0091,
"step": 1110
},
{
"epoch": 3.14,
"learning_rate": 0.00041198501872659175,
"loss": 0.0091,
"step": 1120
},
{
"epoch": 3.17,
"learning_rate": 0.00040574282147315855,
"loss": 0.0055,
"step": 1130
},
{
"epoch": 3.2,
"learning_rate": 0.00039950062421972534,
"loss": 0.0087,
"step": 1140
},
{
"epoch": 3.23,
"learning_rate": 0.00039325842696629214,
"loss": 0.0158,
"step": 1150
},
{
"epoch": 3.26,
"learning_rate": 0.00038701622971285893,
"loss": 0.0067,
"step": 1160
},
{
"epoch": 3.28,
"learning_rate": 0.00038077403245942573,
"loss": 0.007,
"step": 1170
},
{
"epoch": 3.31,
"learning_rate": 0.0003745318352059925,
"loss": 0.0057,
"step": 1180
},
{
"epoch": 3.34,
"learning_rate": 0.0003682896379525593,
"loss": 0.0078,
"step": 1190
},
{
"epoch": 3.37,
"learning_rate": 0.0003620474406991261,
"loss": 0.0063,
"step": 1200
},
{
"epoch": 3.4,
"learning_rate": 0.00035580524344569286,
"loss": 0.0054,
"step": 1210
},
{
"epoch": 3.42,
"learning_rate": 0.0003495630461922597,
"loss": 0.0091,
"step": 1220
},
{
"epoch": 3.45,
"learning_rate": 0.0003433208489388265,
"loss": 0.0047,
"step": 1230
},
{
"epoch": 3.48,
"learning_rate": 0.00033707865168539324,
"loss": 0.0126,
"step": 1240
},
{
"epoch": 3.51,
"learning_rate": 0.00033083645443196004,
"loss": 0.0124,
"step": 1250
},
{
"epoch": 3.54,
"learning_rate": 0.0003245942571785269,
"loss": 0.0082,
"step": 1260
},
{
"epoch": 3.56,
"learning_rate": 0.00031835205992509363,
"loss": 0.0081,
"step": 1270
},
{
"epoch": 3.59,
"learning_rate": 0.00031210986267166043,
"loss": 0.0073,
"step": 1280
},
{
"epoch": 3.62,
"learning_rate": 0.0003058676654182272,
"loss": 0.0044,
"step": 1290
},
{
"epoch": 3.65,
"learning_rate": 0.000299625468164794,
"loss": 0.0082,
"step": 1300
},
{
"epoch": 3.68,
"learning_rate": 0.0002933832709113608,
"loss": 0.0039,
"step": 1310
},
{
"epoch": 3.71,
"learning_rate": 0.00028714107365792756,
"loss": 0.0089,
"step": 1320
},
{
"epoch": 3.73,
"learning_rate": 0.0002808988764044944,
"loss": 0.0073,
"step": 1330
},
{
"epoch": 3.76,
"learning_rate": 0.0002746566791510612,
"loss": 0.0047,
"step": 1340
},
{
"epoch": 3.79,
"learning_rate": 0.00026841448189762794,
"loss": 0.0055,
"step": 1350
},
{
"epoch": 3.82,
"learning_rate": 0.00026217228464419474,
"loss": 0.0051,
"step": 1360
},
{
"epoch": 3.85,
"learning_rate": 0.0002559300873907616,
"loss": 0.0078,
"step": 1370
},
{
"epoch": 3.87,
"learning_rate": 0.00024968789013732833,
"loss": 0.005,
"step": 1380
},
{
"epoch": 3.9,
"learning_rate": 0.00024344569288389515,
"loss": 0.0048,
"step": 1390
},
{
"epoch": 3.93,
"learning_rate": 0.00023720349563046192,
"loss": 0.0062,
"step": 1400
},
{
"epoch": 3.96,
"learning_rate": 0.00023096129837702872,
"loss": 0.0139,
"step": 1410
},
{
"epoch": 3.99,
"learning_rate": 0.00022471910112359551,
"loss": 0.0101,
"step": 1420
},
{
"epoch": 4.0,
"eval_accuracy": 0.9993911349245007,
"eval_loss": 0.002844765782356262,
"eval_runtime": 311.5882,
"eval_samples_per_second": 26.355,
"eval_steps_per_second": 0.825,
"step": 1425
},
{
"epoch": 4.01,
"learning_rate": 0.0002184769038701623,
"loss": 0.0087,
"step": 1430
},
{
"epoch": 4.04,
"learning_rate": 0.00021223470661672908,
"loss": 0.0059,
"step": 1440
},
{
"epoch": 4.07,
"learning_rate": 0.00020599250936329587,
"loss": 0.0059,
"step": 1450
},
{
"epoch": 4.1,
"learning_rate": 0.00019975031210986267,
"loss": 0.0077,
"step": 1460
},
{
"epoch": 4.13,
"learning_rate": 0.00019350811485642947,
"loss": 0.0037,
"step": 1470
},
{
"epoch": 4.15,
"learning_rate": 0.00018726591760299626,
"loss": 0.0034,
"step": 1480
},
{
"epoch": 4.18,
"learning_rate": 0.00018102372034956306,
"loss": 0.0051,
"step": 1490
},
{
"epoch": 4.21,
"learning_rate": 0.00017478152309612985,
"loss": 0.0038,
"step": 1500
},
{
"epoch": 4.24,
"learning_rate": 0.00016853932584269662,
"loss": 0.0081,
"step": 1510
},
{
"epoch": 4.27,
"learning_rate": 0.00016229712858926345,
"loss": 0.0035,
"step": 1520
},
{
"epoch": 4.29,
"learning_rate": 0.00015605493133583021,
"loss": 0.0036,
"step": 1530
},
{
"epoch": 4.32,
"learning_rate": 0.000149812734082397,
"loss": 0.0106,
"step": 1540
},
{
"epoch": 4.35,
"learning_rate": 0.00014357053682896378,
"loss": 0.0059,
"step": 1550
},
{
"epoch": 4.38,
"learning_rate": 0.0001373283395755306,
"loss": 0.0043,
"step": 1560
},
{
"epoch": 4.41,
"learning_rate": 0.00013108614232209737,
"loss": 0.0077,
"step": 1570
},
{
"epoch": 4.44,
"learning_rate": 0.00012484394506866417,
"loss": 0.0066,
"step": 1580
},
{
"epoch": 4.46,
"learning_rate": 0.00011860174781523096,
"loss": 0.0079,
"step": 1590
},
{
"epoch": 4.49,
"learning_rate": 0.00011235955056179776,
"loss": 0.0043,
"step": 1600
},
{
"epoch": 4.52,
"learning_rate": 0.00010611735330836454,
"loss": 0.0051,
"step": 1610
},
{
"epoch": 4.55,
"learning_rate": 9.987515605493134e-05,
"loss": 0.0057,
"step": 1620
},
{
"epoch": 4.58,
"learning_rate": 9.363295880149813e-05,
"loss": 0.0052,
"step": 1630
},
{
"epoch": 4.6,
"learning_rate": 8.739076154806493e-05,
"loss": 0.0114,
"step": 1640
},
{
"epoch": 4.63,
"learning_rate": 8.114856429463172e-05,
"loss": 0.006,
"step": 1650
},
{
"epoch": 4.66,
"learning_rate": 7.49063670411985e-05,
"loss": 0.0042,
"step": 1660
},
{
"epoch": 4.69,
"learning_rate": 6.86641697877653e-05,
"loss": 0.0058,
"step": 1670
},
{
"epoch": 4.72,
"learning_rate": 6.242197253433208e-05,
"loss": 0.0061,
"step": 1680
},
{
"epoch": 4.74,
"learning_rate": 5.617977528089888e-05,
"loss": 0.004,
"step": 1690
},
{
"epoch": 4.77,
"learning_rate": 4.993757802746567e-05,
"loss": 0.005,
"step": 1700
},
{
"epoch": 4.8,
"learning_rate": 4.3695380774032463e-05,
"loss": 0.0091,
"step": 1710
},
{
"epoch": 4.83,
"learning_rate": 3.745318352059925e-05,
"loss": 0.0038,
"step": 1720
},
{
"epoch": 4.86,
"learning_rate": 3.121098626716604e-05,
"loss": 0.0056,
"step": 1730
},
{
"epoch": 4.88,
"learning_rate": 2.4968789013732834e-05,
"loss": 0.0028,
"step": 1740
},
{
"epoch": 4.91,
"learning_rate": 1.8726591760299626e-05,
"loss": 0.0046,
"step": 1750
},
{
"epoch": 4.94,
"learning_rate": 1.2484394506866417e-05,
"loss": 0.0041,
"step": 1760
},
{
"epoch": 4.97,
"learning_rate": 6.2421972534332085e-06,
"loss": 0.0025,
"step": 1770
},
{
"epoch": 5.0,
"learning_rate": 0.0,
"loss": 0.0094,
"step": 1780
},
{
"epoch": 5.0,
"eval_accuracy": 0.9995129079396006,
"eval_loss": 0.0021576141007244587,
"eval_runtime": 311.5505,
"eval_samples_per_second": 26.358,
"eval_steps_per_second": 0.825,
"step": 1780
},
{
"epoch": 5.0,
"step": 1780,
"total_flos": 2.8607738987116802e+19,
"train_loss": 0.03821301929589905,
"train_runtime": 10304.0646,
"train_samples_per_second": 22.126,
"train_steps_per_second": 0.173
}
],
"max_steps": 1780,
"num_train_epochs": 5,
"total_flos": 2.8607738987116802e+19,
"trial_name": null,
"trial_params": null
}