Eldoksh / trainer_state.json
Youssef320's picture
Upload with huggingface_hub
55a2d90
{
"best_metric": 2.9716455936431885,
"best_model_checkpoint": "/root/workspace/mounts/blobs/blob-deeplm2/v-youmohamed/OUTPUT/checkpoint-896",
"epoch": 1.899688597363016,
"global_step": 896,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 0.0002,
"loss": 3.7521,
"step": 5
},
{
"epoch": 0.02,
"learning_rate": 0.0002,
"loss": 3.4722,
"step": 10
},
{
"epoch": 0.03,
"learning_rate": 0.0002,
"loss": 3.3737,
"step": 15
},
{
"epoch": 0.04,
"learning_rate": 0.0002,
"loss": 3.3422,
"step": 20
},
{
"epoch": 0.05,
"learning_rate": 0.0002,
"loss": 3.2973,
"step": 25
},
{
"epoch": 0.06,
"learning_rate": 0.0002,
"loss": 3.2657,
"step": 30
},
{
"epoch": 0.07,
"learning_rate": 0.0002,
"loss": 3.2831,
"step": 35
},
{
"epoch": 0.08,
"learning_rate": 0.0002,
"loss": 3.2618,
"step": 40
},
{
"epoch": 0.1,
"learning_rate": 0.0002,
"loss": 3.2306,
"step": 45
},
{
"epoch": 0.11,
"learning_rate": 0.0002,
"loss": 3.2366,
"step": 50
},
{
"epoch": 0.12,
"learning_rate": 0.0002,
"loss": 3.2351,
"step": 55
},
{
"epoch": 0.13,
"learning_rate": 0.0002,
"loss": 3.2498,
"step": 60
},
{
"epoch": 0.14,
"eval_loss": 3.0548903942108154,
"eval_runtime": 12.4122,
"eval_samples_per_second": 9988.553,
"eval_steps_per_second": 156.137,
"eval_top3_3_weighted_f1_score ": 0.3635597179689758,
"eval_top_1_macro_f1_score": 0.12749506628104146,
"eval_top_1_weighted_f1score": 0.17965168935293338,
"eval_top_3_macro_f1_score": 0.27169270972798243,
"step": 64
},
{
"epoch": 0.14,
"learning_rate": 0.0002,
"loss": 3.2185,
"step": 65
},
{
"epoch": 0.15,
"learning_rate": 0.0002,
"loss": 3.2281,
"step": 70
},
{
"epoch": 0.16,
"learning_rate": 0.0002,
"loss": 3.2107,
"step": 75
},
{
"epoch": 0.17,
"learning_rate": 0.0002,
"loss": 3.1923,
"step": 80
},
{
"epoch": 0.18,
"learning_rate": 0.0002,
"loss": 3.2002,
"step": 85
},
{
"epoch": 0.19,
"learning_rate": 0.0002,
"loss": 3.1936,
"step": 90
},
{
"epoch": 0.2,
"learning_rate": 0.0002,
"loss": 3.1864,
"step": 95
},
{
"epoch": 0.21,
"learning_rate": 0.0002,
"loss": 3.1851,
"step": 100
},
{
"epoch": 0.22,
"learning_rate": 0.0002,
"loss": 3.2114,
"step": 105
},
{
"epoch": 0.23,
"learning_rate": 0.0002,
"loss": 3.1978,
"step": 110
},
{
"epoch": 0.24,
"learning_rate": 0.0002,
"loss": 3.2071,
"step": 115
},
{
"epoch": 0.25,
"learning_rate": 0.0002,
"loss": 3.1736,
"step": 120
},
{
"epoch": 0.27,
"learning_rate": 0.0002,
"loss": 3.1662,
"step": 125
},
{
"epoch": 0.27,
"eval_loss": 3.03450345993042,
"eval_runtime": 12.3026,
"eval_samples_per_second": 10077.544,
"eval_steps_per_second": 157.528,
"eval_top3_3_weighted_f1_score ": 0.367365798951655,
"eval_top_1_macro_f1_score": 0.13108849715797372,
"eval_top_1_weighted_f1score": 0.1856398470154161,
"eval_top_3_macro_f1_score": 0.2767454300628382,
"step": 128
},
{
"epoch": 0.28,
"learning_rate": 0.0002,
"loss": 3.1539,
"step": 130
},
{
"epoch": 0.29,
"learning_rate": 0.0002,
"loss": 3.2208,
"step": 135
},
{
"epoch": 0.3,
"learning_rate": 0.0002,
"loss": 3.1691,
"step": 140
},
{
"epoch": 0.31,
"learning_rate": 0.0002,
"loss": 3.1579,
"step": 145
},
{
"epoch": 0.32,
"learning_rate": 0.0002,
"loss": 3.1827,
"step": 150
},
{
"epoch": 0.33,
"learning_rate": 0.0002,
"loss": 3.1546,
"step": 155
},
{
"epoch": 0.34,
"learning_rate": 0.0002,
"loss": 3.1561,
"step": 160
},
{
"epoch": 0.35,
"learning_rate": 0.0002,
"loss": 3.1529,
"step": 165
},
{
"epoch": 0.36,
"learning_rate": 0.0002,
"loss": 3.1775,
"step": 170
},
{
"epoch": 0.37,
"learning_rate": 0.0002,
"loss": 3.152,
"step": 175
},
{
"epoch": 0.38,
"learning_rate": 0.0002,
"loss": 3.1556,
"step": 180
},
{
"epoch": 0.39,
"learning_rate": 0.0002,
"loss": 3.1562,
"step": 185
},
{
"epoch": 0.4,
"learning_rate": 0.0002,
"loss": 3.16,
"step": 190
},
{
"epoch": 0.41,
"eval_loss": 3.0158042907714844,
"eval_runtime": 12.5431,
"eval_samples_per_second": 9884.289,
"eval_steps_per_second": 154.507,
"eval_top3_3_weighted_f1_score ": 0.3724159289868765,
"eval_top_1_macro_f1_score": 0.13421610412877683,
"eval_top_1_weighted_f1score": 0.18861048252163506,
"eval_top_3_macro_f1_score": 0.2791788451621761,
"step": 192
},
{
"epoch": 0.41,
"learning_rate": 0.0002,
"loss": 3.1525,
"step": 195
},
{
"epoch": 0.42,
"learning_rate": 0.0002,
"loss": 3.1471,
"step": 200
},
{
"epoch": 0.43,
"learning_rate": 0.0002,
"loss": 3.1479,
"step": 205
},
{
"epoch": 0.45,
"learning_rate": 0.0002,
"loss": 3.1221,
"step": 210
},
{
"epoch": 0.46,
"learning_rate": 0.0002,
"loss": 3.1531,
"step": 215
},
{
"epoch": 0.47,
"learning_rate": 0.0002,
"loss": 3.1237,
"step": 220
},
{
"epoch": 0.48,
"learning_rate": 0.0002,
"loss": 3.1619,
"step": 225
},
{
"epoch": 0.49,
"learning_rate": 0.0002,
"loss": 3.1405,
"step": 230
},
{
"epoch": 0.5,
"learning_rate": 0.0002,
"loss": 3.1649,
"step": 235
},
{
"epoch": 0.51,
"learning_rate": 0.0002,
"loss": 3.1444,
"step": 240
},
{
"epoch": 0.52,
"learning_rate": 0.0002,
"loss": 3.1373,
"step": 245
},
{
"epoch": 0.53,
"learning_rate": 0.0002,
"loss": 3.1303,
"step": 250
},
{
"epoch": 0.54,
"learning_rate": 0.0002,
"loss": 3.1154,
"step": 255
},
{
"epoch": 0.54,
"eval_loss": 3.0033798217773438,
"eval_runtime": 12.4351,
"eval_samples_per_second": 9970.191,
"eval_steps_per_second": 155.85,
"eval_top3_3_weighted_f1_score ": 0.3769780434228148,
"eval_top_1_macro_f1_score": 0.13432065892500267,
"eval_top_1_weighted_f1score": 0.18801869311169406,
"eval_top_3_macro_f1_score": 0.28440917781504094,
"step": 256
},
{
"epoch": 0.55,
"learning_rate": 0.0002,
"loss": 3.1335,
"step": 260
},
{
"epoch": 0.56,
"learning_rate": 0.0002,
"loss": 3.1378,
"step": 265
},
{
"epoch": 0.57,
"learning_rate": 0.0002,
"loss": 3.1427,
"step": 270
},
{
"epoch": 0.58,
"learning_rate": 0.0002,
"loss": 3.1226,
"step": 275
},
{
"epoch": 0.59,
"learning_rate": 0.0002,
"loss": 3.126,
"step": 280
},
{
"epoch": 0.6,
"learning_rate": 0.0002,
"loss": 3.139,
"step": 285
},
{
"epoch": 0.61,
"learning_rate": 0.0002,
"loss": 3.1391,
"step": 290
},
{
"epoch": 0.63,
"learning_rate": 0.0002,
"loss": 3.1416,
"step": 295
},
{
"epoch": 0.64,
"learning_rate": 0.0002,
"loss": 3.133,
"step": 300
},
{
"epoch": 0.65,
"learning_rate": 0.0002,
"loss": 3.1336,
"step": 305
},
{
"epoch": 0.66,
"learning_rate": 0.0002,
"loss": 3.1213,
"step": 310
},
{
"epoch": 0.67,
"learning_rate": 0.0002,
"loss": 3.1144,
"step": 315
},
{
"epoch": 0.68,
"learning_rate": 0.0002,
"loss": 3.1257,
"step": 320
},
{
"epoch": 0.68,
"eval_loss": 2.9847888946533203,
"eval_runtime": 12.4682,
"eval_samples_per_second": 9943.722,
"eval_steps_per_second": 155.436,
"eval_top3_3_weighted_f1_score ": 0.3782555483193414,
"eval_top_1_macro_f1_score": 0.1332053681737893,
"eval_top_1_weighted_f1score": 0.18758504608314192,
"eval_top_3_macro_f1_score": 0.2819546880264732,
"step": 320
},
{
"epoch": 0.69,
"learning_rate": 0.0002,
"loss": 3.1373,
"step": 325
},
{
"epoch": 0.7,
"learning_rate": 0.0002,
"loss": 3.1284,
"step": 330
},
{
"epoch": 0.71,
"learning_rate": 0.0002,
"loss": 3.1107,
"step": 335
},
{
"epoch": 0.72,
"learning_rate": 0.0002,
"loss": 3.1181,
"step": 340
},
{
"epoch": 0.73,
"learning_rate": 0.0002,
"loss": 3.145,
"step": 345
},
{
"epoch": 0.74,
"learning_rate": 0.0002,
"loss": 3.1185,
"step": 350
},
{
"epoch": 0.75,
"learning_rate": 0.0002,
"loss": 3.1189,
"step": 355
},
{
"epoch": 0.76,
"learning_rate": 0.0002,
"loss": 3.14,
"step": 360
},
{
"epoch": 0.77,
"learning_rate": 0.0002,
"loss": 3.1101,
"step": 365
},
{
"epoch": 0.78,
"learning_rate": 0.0002,
"loss": 3.1137,
"step": 370
},
{
"epoch": 0.8,
"learning_rate": 0.0002,
"loss": 3.1133,
"step": 375
},
{
"epoch": 0.81,
"learning_rate": 0.0002,
"loss": 3.1227,
"step": 380
},
{
"epoch": 0.81,
"eval_loss": 2.9721128940582275,
"eval_runtime": 12.3698,
"eval_samples_per_second": 10022.814,
"eval_steps_per_second": 156.672,
"eval_top3_3_weighted_f1_score ": 0.38056857139903855,
"eval_top_1_macro_f1_score": 0.13385895070094989,
"eval_top_1_weighted_f1score": 0.1886778688260468,
"eval_top_3_macro_f1_score": 0.2843530525848158,
"step": 384
},
{
"epoch": 0.82,
"learning_rate": 0.0002,
"loss": 3.1068,
"step": 385
},
{
"epoch": 0.83,
"learning_rate": 0.0002,
"loss": 3.1013,
"step": 390
},
{
"epoch": 0.84,
"learning_rate": 0.0002,
"loss": 3.1157,
"step": 395
},
{
"epoch": 0.85,
"learning_rate": 0.0002,
"loss": 3.1285,
"step": 400
},
{
"epoch": 0.86,
"learning_rate": 0.0002,
"loss": 3.1209,
"step": 405
},
{
"epoch": 0.87,
"learning_rate": 0.0002,
"loss": 3.1084,
"step": 410
},
{
"epoch": 0.88,
"learning_rate": 0.0002,
"loss": 3.1085,
"step": 415
},
{
"epoch": 0.89,
"learning_rate": 0.0002,
"loss": 3.0964,
"step": 420
},
{
"epoch": 0.9,
"learning_rate": 0.0002,
"loss": 3.0977,
"step": 425
},
{
"epoch": 0.91,
"learning_rate": 0.0002,
"loss": 3.1077,
"step": 430
},
{
"epoch": 0.92,
"learning_rate": 0.0002,
"loss": 3.1209,
"step": 435
},
{
"epoch": 0.93,
"learning_rate": 0.0002,
"loss": 3.1191,
"step": 440
},
{
"epoch": 0.94,
"learning_rate": 0.0002,
"loss": 3.1058,
"step": 445
},
{
"epoch": 0.95,
"eval_loss": 2.973684549331665,
"eval_runtime": 12.3568,
"eval_samples_per_second": 10033.312,
"eval_steps_per_second": 156.836,
"eval_top3_3_weighted_f1_score ": 0.3815054842495814,
"eval_top_1_macro_f1_score": 0.13689945428212444,
"eval_top_1_weighted_f1score": 0.19158272343260493,
"eval_top_3_macro_f1_score": 0.28709815898256036,
"step": 448
},
{
"epoch": 0.95,
"learning_rate": 0.0002,
"loss": 3.0965,
"step": 450
},
{
"epoch": 0.96,
"learning_rate": 0.0002,
"loss": 3.1091,
"step": 455
},
{
"epoch": 0.98,
"learning_rate": 0.0002,
"loss": 3.1282,
"step": 460
},
{
"epoch": 0.99,
"learning_rate": 0.0002,
"loss": 3.1004,
"step": 465
},
{
"epoch": 1.0,
"learning_rate": 0.0002,
"loss": 3.124,
"step": 470
},
{
"epoch": 1.01,
"learning_rate": 0.0002,
"loss": 3.0761,
"step": 475
},
{
"epoch": 1.02,
"learning_rate": 0.0002,
"loss": 3.0486,
"step": 480
},
{
"epoch": 1.03,
"learning_rate": 0.0002,
"loss": 3.0358,
"step": 485
},
{
"epoch": 1.04,
"learning_rate": 0.0002,
"loss": 3.0124,
"step": 490
},
{
"epoch": 1.05,
"learning_rate": 0.0002,
"loss": 3.0363,
"step": 495
},
{
"epoch": 1.06,
"learning_rate": 0.0002,
"loss": 3.0223,
"step": 500
},
{
"epoch": 1.07,
"learning_rate": 0.0002,
"loss": 3.0283,
"step": 505
},
{
"epoch": 1.08,
"learning_rate": 0.0002,
"loss": 3.0411,
"step": 510
},
{
"epoch": 1.09,
"eval_loss": 3.0033085346221924,
"eval_runtime": 12.3385,
"eval_samples_per_second": 10048.213,
"eval_steps_per_second": 157.069,
"eval_top3_3_weighted_f1_score ": 0.38084561975369874,
"eval_top_1_macro_f1_score": 0.13521743605085645,
"eval_top_1_weighted_f1score": 0.18797578254383546,
"eval_top_3_macro_f1_score": 0.2897663126149453,
"step": 512
},
{
"epoch": 1.09,
"learning_rate": 0.0002,
"loss": 3.0425,
"step": 515
},
{
"epoch": 1.1,
"learning_rate": 0.0002,
"loss": 3.0122,
"step": 520
},
{
"epoch": 1.11,
"learning_rate": 0.0002,
"loss": 3.0186,
"step": 525
},
{
"epoch": 1.12,
"learning_rate": 0.0002,
"loss": 3.034,
"step": 530
},
{
"epoch": 1.13,
"learning_rate": 0.0002,
"loss": 3.0444,
"step": 535
},
{
"epoch": 1.14,
"learning_rate": 0.0002,
"loss": 3.0289,
"step": 540
},
{
"epoch": 1.16,
"learning_rate": 0.0002,
"loss": 3.0539,
"step": 545
},
{
"epoch": 1.17,
"learning_rate": 0.0002,
"loss": 3.0165,
"step": 550
},
{
"epoch": 1.18,
"learning_rate": 0.0002,
"loss": 3.0315,
"step": 555
},
{
"epoch": 1.19,
"learning_rate": 0.0002,
"loss": 3.0457,
"step": 560
},
{
"epoch": 1.2,
"learning_rate": 0.0002,
"loss": 3.0518,
"step": 565
},
{
"epoch": 1.21,
"learning_rate": 0.0002,
"loss": 3.0271,
"step": 570
},
{
"epoch": 1.22,
"learning_rate": 0.0002,
"loss": 3.0259,
"step": 575
},
{
"epoch": 1.22,
"eval_loss": 3.003117799758911,
"eval_runtime": 12.3306,
"eval_samples_per_second": 10054.688,
"eval_steps_per_second": 157.17,
"eval_top3_3_weighted_f1_score ": 0.3808180416513238,
"eval_top_1_macro_f1_score": 0.1357746878516193,
"eval_top_1_weighted_f1score": 0.18830594414771443,
"eval_top_3_macro_f1_score": 0.2872982485151964,
"step": 576
},
{
"epoch": 1.23,
"learning_rate": 0.0002,
"loss": 3.0503,
"step": 580
},
{
"epoch": 1.24,
"learning_rate": 0.0002,
"loss": 3.0367,
"step": 585
},
{
"epoch": 1.25,
"learning_rate": 0.0002,
"loss": 3.0622,
"step": 590
},
{
"epoch": 1.26,
"learning_rate": 0.0002,
"loss": 3.0268,
"step": 595
},
{
"epoch": 1.27,
"learning_rate": 0.0002,
"loss": 3.0288,
"step": 600
},
{
"epoch": 1.28,
"learning_rate": 0.0002,
"loss": 3.0374,
"step": 605
},
{
"epoch": 1.29,
"learning_rate": 0.0002,
"loss": 3.0423,
"step": 610
},
{
"epoch": 1.3,
"learning_rate": 0.0002,
"loss": 3.0421,
"step": 615
},
{
"epoch": 1.31,
"learning_rate": 0.0002,
"loss": 3.0486,
"step": 620
},
{
"epoch": 1.33,
"learning_rate": 0.0002,
"loss": 3.0581,
"step": 625
},
{
"epoch": 1.34,
"learning_rate": 0.0002,
"loss": 3.0522,
"step": 630
},
{
"epoch": 1.35,
"learning_rate": 0.0002,
"loss": 3.038,
"step": 635
},
{
"epoch": 1.36,
"learning_rate": 0.0002,
"loss": 3.0224,
"step": 640
},
{
"epoch": 1.36,
"eval_loss": 2.991966485977173,
"eval_runtime": 12.3903,
"eval_samples_per_second": 10006.224,
"eval_steps_per_second": 156.413,
"eval_top3_3_weighted_f1_score ": 0.38244182168677654,
"eval_top_1_macro_f1_score": 0.13697887613478638,
"eval_top_1_weighted_f1score": 0.19008342397049477,
"eval_top_3_macro_f1_score": 0.28950530056980883,
"step": 640
},
{
"epoch": 1.37,
"learning_rate": 0.0002,
"loss": 3.0515,
"step": 645
},
{
"epoch": 1.38,
"learning_rate": 0.0002,
"loss": 3.059,
"step": 650
},
{
"epoch": 1.39,
"learning_rate": 0.0002,
"loss": 3.0618,
"step": 655
},
{
"epoch": 1.4,
"learning_rate": 0.0002,
"loss": 3.0419,
"step": 660
},
{
"epoch": 1.41,
"learning_rate": 0.0002,
"loss": 3.0413,
"step": 665
},
{
"epoch": 1.42,
"learning_rate": 0.0002,
"loss": 3.0274,
"step": 670
},
{
"epoch": 1.43,
"learning_rate": 0.0002,
"loss": 3.0381,
"step": 675
},
{
"epoch": 1.44,
"learning_rate": 0.0002,
"loss": 3.0307,
"step": 680
},
{
"epoch": 1.45,
"learning_rate": 0.0002,
"loss": 3.0472,
"step": 685
},
{
"epoch": 1.46,
"learning_rate": 0.0002,
"loss": 3.055,
"step": 690
},
{
"epoch": 1.47,
"learning_rate": 0.0002,
"loss": 3.0575,
"step": 695
},
{
"epoch": 1.48,
"learning_rate": 0.0002,
"loss": 3.0266,
"step": 700
},
{
"epoch": 1.49,
"eval_loss": 2.990971088409424,
"eval_runtime": 12.4127,
"eval_samples_per_second": 9988.145,
"eval_steps_per_second": 156.13,
"eval_top3_3_weighted_f1_score ": 0.38137876299092255,
"eval_top_1_macro_f1_score": 0.13838382537775124,
"eval_top_1_weighted_f1score": 0.19131550228883154,
"eval_top_3_macro_f1_score": 0.28803327800883843,
"step": 704
},
{
"epoch": 1.49,
"learning_rate": 0.0002,
"loss": 3.0492,
"step": 705
},
{
"epoch": 1.51,
"learning_rate": 0.0002,
"loss": 3.0395,
"step": 710
},
{
"epoch": 1.52,
"learning_rate": 0.0002,
"loss": 3.0649,
"step": 715
},
{
"epoch": 1.53,
"learning_rate": 0.0002,
"loss": 3.0681,
"step": 720
},
{
"epoch": 1.54,
"learning_rate": 0.0002,
"loss": 3.0649,
"step": 725
},
{
"epoch": 1.55,
"learning_rate": 0.0002,
"loss": 3.0393,
"step": 730
},
{
"epoch": 1.56,
"learning_rate": 0.0002,
"loss": 3.0517,
"step": 735
},
{
"epoch": 1.57,
"learning_rate": 0.0002,
"loss": 3.032,
"step": 740
},
{
"epoch": 1.58,
"learning_rate": 0.0002,
"loss": 3.0583,
"step": 745
},
{
"epoch": 1.59,
"learning_rate": 0.0002,
"loss": 3.0401,
"step": 750
},
{
"epoch": 1.6,
"learning_rate": 0.0002,
"loss": 3.0565,
"step": 755
},
{
"epoch": 1.61,
"learning_rate": 0.0002,
"loss": 3.0654,
"step": 760
},
{
"epoch": 1.62,
"learning_rate": 0.0002,
"loss": 3.0533,
"step": 765
},
{
"epoch": 1.63,
"eval_loss": 2.9771080017089844,
"eval_runtime": 12.6533,
"eval_samples_per_second": 9798.249,
"eval_steps_per_second": 153.162,
"eval_top3_3_weighted_f1_score ": 0.3832560873676479,
"eval_top_1_macro_f1_score": 0.13752697035489958,
"eval_top_1_weighted_f1score": 0.18965901401189703,
"eval_top_3_macro_f1_score": 0.2904255030755513,
"step": 768
},
{
"epoch": 1.63,
"learning_rate": 0.0002,
"loss": 3.0475,
"step": 770
},
{
"epoch": 1.64,
"learning_rate": 0.0002,
"loss": 3.0636,
"step": 775
},
{
"epoch": 1.65,
"learning_rate": 0.0002,
"loss": 3.0349,
"step": 780
},
{
"epoch": 1.66,
"learning_rate": 0.0002,
"loss": 3.0396,
"step": 785
},
{
"epoch": 1.67,
"learning_rate": 0.0002,
"loss": 3.0486,
"step": 790
},
{
"epoch": 1.69,
"learning_rate": 0.0002,
"loss": 3.0499,
"step": 795
},
{
"epoch": 1.7,
"learning_rate": 0.0002,
"loss": 3.0419,
"step": 800
},
{
"epoch": 1.71,
"learning_rate": 0.0002,
"loss": 3.0155,
"step": 805
},
{
"epoch": 1.72,
"learning_rate": 0.0002,
"loss": 3.048,
"step": 810
},
{
"epoch": 1.73,
"learning_rate": 0.0002,
"loss": 3.0334,
"step": 815
},
{
"epoch": 1.74,
"learning_rate": 0.0002,
"loss": 3.0489,
"step": 820
},
{
"epoch": 1.75,
"learning_rate": 0.0002,
"loss": 3.0506,
"step": 825
},
{
"epoch": 1.76,
"learning_rate": 0.0002,
"loss": 3.0532,
"step": 830
},
{
"epoch": 1.76,
"eval_loss": 2.9731740951538086,
"eval_runtime": 12.2931,
"eval_samples_per_second": 10085.346,
"eval_steps_per_second": 157.65,
"eval_top3_3_weighted_f1_score ": 0.38454672509114807,
"eval_top_1_macro_f1_score": 0.13915252180450877,
"eval_top_1_weighted_f1score": 0.19237329003887355,
"eval_top_3_macro_f1_score": 0.2905488168931788,
"step": 832
},
{
"epoch": 1.77,
"learning_rate": 0.0002,
"loss": 3.0578,
"step": 835
},
{
"epoch": 1.78,
"learning_rate": 0.0002,
"loss": 3.0778,
"step": 840
},
{
"epoch": 1.79,
"learning_rate": 0.0002,
"loss": 3.0624,
"step": 845
},
{
"epoch": 1.8,
"learning_rate": 0.0002,
"loss": 3.0681,
"step": 850
},
{
"epoch": 1.81,
"learning_rate": 0.0002,
"loss": 3.0398,
"step": 855
},
{
"epoch": 1.82,
"learning_rate": 0.0002,
"loss": 3.0389,
"step": 860
},
{
"epoch": 1.83,
"learning_rate": 0.0002,
"loss": 3.0533,
"step": 865
},
{
"epoch": 1.84,
"learning_rate": 0.0002,
"loss": 3.0695,
"step": 870
},
{
"epoch": 1.86,
"learning_rate": 0.0002,
"loss": 3.0616,
"step": 875
},
{
"epoch": 1.87,
"learning_rate": 0.0002,
"loss": 3.0538,
"step": 880
},
{
"epoch": 1.88,
"learning_rate": 0.0002,
"loss": 3.0669,
"step": 885
},
{
"epoch": 1.89,
"learning_rate": 0.0002,
"loss": 3.043,
"step": 890
},
{
"epoch": 1.9,
"learning_rate": 0.0002,
"loss": 3.0493,
"step": 895
},
{
"epoch": 1.9,
"eval_loss": 2.9716455936431885,
"eval_runtime": 12.3359,
"eval_samples_per_second": 10050.36,
"eval_steps_per_second": 157.103,
"eval_top3_3_weighted_f1_score ": 0.3843987215479838,
"eval_top_1_macro_f1_score": 0.13965577931407566,
"eval_top_1_weighted_f1score": 0.19375781342563833,
"eval_top_3_macro_f1_score": 0.2898983574642249,
"step": 896
}
],
"max_steps": 942,
"num_train_epochs": 2,
"total_flos": 1221880575338496.0,
"trial_name": null,
"trial_params": null
}