finetuned-affecthq / trainer_state.json
Piro17's picture
End of training
452d78a
raw
history blame contribute delete
No virus
25.2 kB
{
"best_metric": 0.7166821507529032,
"best_model_checkpoint": "finetuned-affecthq/checkpoint-1740",
"epoch": 10.0,
"global_step": 1740,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.06,
"learning_rate": 5.747126436781609e-07,
"loss": 1.943,
"step": 10
},
{
"epoch": 0.11,
"learning_rate": 1.1494252873563219e-06,
"loss": 1.9472,
"step": 20
},
{
"epoch": 0.17,
"learning_rate": 1.724137931034483e-06,
"loss": 1.9405,
"step": 30
},
{
"epoch": 0.23,
"learning_rate": 2.2988505747126437e-06,
"loss": 1.9412,
"step": 40
},
{
"epoch": 0.29,
"learning_rate": 2.8735632183908046e-06,
"loss": 1.9366,
"step": 50
},
{
"epoch": 0.34,
"learning_rate": 3.448275862068966e-06,
"loss": 1.9228,
"step": 60
},
{
"epoch": 0.4,
"learning_rate": 4.022988505747127e-06,
"loss": 1.9197,
"step": 70
},
{
"epoch": 0.46,
"learning_rate": 4.5977011494252875e-06,
"loss": 1.9044,
"step": 80
},
{
"epoch": 0.52,
"learning_rate": 5.172413793103449e-06,
"loss": 1.8946,
"step": 90
},
{
"epoch": 0.57,
"learning_rate": 5.747126436781609e-06,
"loss": 1.88,
"step": 100
},
{
"epoch": 0.63,
"learning_rate": 6.321839080459771e-06,
"loss": 1.8502,
"step": 110
},
{
"epoch": 0.69,
"learning_rate": 6.896551724137932e-06,
"loss": 1.8237,
"step": 120
},
{
"epoch": 0.75,
"learning_rate": 7.4712643678160925e-06,
"loss": 1.7791,
"step": 130
},
{
"epoch": 0.8,
"learning_rate": 8.045977011494253e-06,
"loss": 1.73,
"step": 140
},
{
"epoch": 0.86,
"learning_rate": 8.620689655172414e-06,
"loss": 1.6821,
"step": 150
},
{
"epoch": 0.92,
"learning_rate": 9.195402298850575e-06,
"loss": 1.6046,
"step": 160
},
{
"epoch": 0.98,
"learning_rate": 9.770114942528738e-06,
"loss": 1.5413,
"step": 170
},
{
"epoch": 1.0,
"eval_accuracy": 0.4897592526051024,
"eval_f1": 0.44086225397711515,
"eval_loss": 1.481001615524292,
"eval_precision": 0.4866510289564923,
"eval_recall": 0.4897592526051024,
"eval_runtime": 120.4538,
"eval_samples_per_second": 23.104,
"eval_steps_per_second": 0.722,
"step": 174
},
{
"epoch": 1.03,
"learning_rate": 9.96168582375479e-06,
"loss": 1.4788,
"step": 180
},
{
"epoch": 1.09,
"learning_rate": 9.897828863346106e-06,
"loss": 1.4199,
"step": 190
},
{
"epoch": 1.15,
"learning_rate": 9.833971902937422e-06,
"loss": 1.3742,
"step": 200
},
{
"epoch": 1.21,
"learning_rate": 9.770114942528738e-06,
"loss": 1.3286,
"step": 210
},
{
"epoch": 1.26,
"learning_rate": 9.706257982120052e-06,
"loss": 1.2958,
"step": 220
},
{
"epoch": 1.32,
"learning_rate": 9.642401021711367e-06,
"loss": 1.2637,
"step": 230
},
{
"epoch": 1.38,
"learning_rate": 9.578544061302683e-06,
"loss": 1.2016,
"step": 240
},
{
"epoch": 1.44,
"learning_rate": 9.514687100893997e-06,
"loss": 1.1857,
"step": 250
},
{
"epoch": 1.49,
"learning_rate": 9.450830140485315e-06,
"loss": 1.1846,
"step": 260
},
{
"epoch": 1.55,
"learning_rate": 9.386973180076629e-06,
"loss": 1.1625,
"step": 270
},
{
"epoch": 1.61,
"learning_rate": 9.323116219667945e-06,
"loss": 1.1132,
"step": 280
},
{
"epoch": 1.67,
"learning_rate": 9.25925925925926e-06,
"loss": 1.125,
"step": 290
},
{
"epoch": 1.72,
"learning_rate": 9.195402298850575e-06,
"loss": 1.0897,
"step": 300
},
{
"epoch": 1.78,
"learning_rate": 9.13154533844189e-06,
"loss": 1.0997,
"step": 310
},
{
"epoch": 1.84,
"learning_rate": 9.067688378033207e-06,
"loss": 1.1013,
"step": 320
},
{
"epoch": 1.9,
"learning_rate": 9.003831417624522e-06,
"loss": 1.0534,
"step": 330
},
{
"epoch": 1.95,
"learning_rate": 8.939974457215838e-06,
"loss": 1.0367,
"step": 340
},
{
"epoch": 2.0,
"eval_accuracy": 0.6155228171038448,
"eval_f1": 0.6040554573829957,
"eval_loss": 1.057146430015564,
"eval_precision": 0.6172414617774471,
"eval_recall": 0.6155228171038448,
"eval_runtime": 114.6311,
"eval_samples_per_second": 24.278,
"eval_steps_per_second": 0.759,
"step": 348
},
{
"epoch": 2.01,
"learning_rate": 8.876117496807152e-06,
"loss": 1.0755,
"step": 350
},
{
"epoch": 2.07,
"learning_rate": 8.812260536398468e-06,
"loss": 1.0458,
"step": 360
},
{
"epoch": 2.13,
"learning_rate": 8.748403575989784e-06,
"loss": 1.0355,
"step": 370
},
{
"epoch": 2.18,
"learning_rate": 8.684546615581098e-06,
"loss": 1.0074,
"step": 380
},
{
"epoch": 2.24,
"learning_rate": 8.620689655172414e-06,
"loss": 1.0282,
"step": 390
},
{
"epoch": 2.3,
"learning_rate": 8.55683269476373e-06,
"loss": 0.9839,
"step": 400
},
{
"epoch": 2.36,
"learning_rate": 8.492975734355046e-06,
"loss": 1.0115,
"step": 410
},
{
"epoch": 2.41,
"learning_rate": 8.429118773946362e-06,
"loss": 1.0112,
"step": 420
},
{
"epoch": 2.47,
"learning_rate": 8.365261813537676e-06,
"loss": 1.0144,
"step": 430
},
{
"epoch": 2.53,
"learning_rate": 8.301404853128992e-06,
"loss": 0.9901,
"step": 440
},
{
"epoch": 2.59,
"learning_rate": 8.237547892720307e-06,
"loss": 0.9606,
"step": 450
},
{
"epoch": 2.64,
"learning_rate": 8.173690932311623e-06,
"loss": 0.9495,
"step": 460
},
{
"epoch": 2.7,
"learning_rate": 8.10983397190294e-06,
"loss": 0.9854,
"step": 470
},
{
"epoch": 2.76,
"learning_rate": 8.045977011494253e-06,
"loss": 0.9145,
"step": 480
},
{
"epoch": 2.82,
"learning_rate": 7.98212005108557e-06,
"loss": 0.9542,
"step": 490
},
{
"epoch": 2.87,
"learning_rate": 7.918263090676885e-06,
"loss": 0.9523,
"step": 500
},
{
"epoch": 2.93,
"learning_rate": 7.854406130268199e-06,
"loss": 0.9471,
"step": 510
},
{
"epoch": 2.99,
"learning_rate": 7.790549169859515e-06,
"loss": 0.9534,
"step": 520
},
{
"epoch": 3.0,
"eval_accuracy": 0.647502694933525,
"eval_f1": 0.6374814059701129,
"eval_loss": 0.9672996997833252,
"eval_precision": 0.6476383048329313,
"eval_recall": 0.647502694933525,
"eval_runtime": 119.4635,
"eval_samples_per_second": 23.296,
"eval_steps_per_second": 0.728,
"step": 522
},
{
"epoch": 3.05,
"learning_rate": 7.72669220945083e-06,
"loss": 0.9929,
"step": 530
},
{
"epoch": 3.1,
"learning_rate": 7.662835249042147e-06,
"loss": 0.8761,
"step": 540
},
{
"epoch": 3.16,
"learning_rate": 7.598978288633462e-06,
"loss": 0.943,
"step": 550
},
{
"epoch": 3.22,
"learning_rate": 7.535121328224777e-06,
"loss": 0.919,
"step": 560
},
{
"epoch": 3.28,
"learning_rate": 7.4712643678160925e-06,
"loss": 0.9353,
"step": 570
},
{
"epoch": 3.33,
"learning_rate": 7.4074074074074075e-06,
"loss": 0.9132,
"step": 580
},
{
"epoch": 3.39,
"learning_rate": 7.343550446998724e-06,
"loss": 0.8632,
"step": 590
},
{
"epoch": 3.45,
"learning_rate": 7.279693486590039e-06,
"loss": 0.9182,
"step": 600
},
{
"epoch": 3.51,
"learning_rate": 7.215836526181354e-06,
"loss": 0.9147,
"step": 610
},
{
"epoch": 3.56,
"learning_rate": 7.15197956577267e-06,
"loss": 0.8804,
"step": 620
},
{
"epoch": 3.62,
"learning_rate": 7.088122605363985e-06,
"loss": 0.8728,
"step": 630
},
{
"epoch": 3.68,
"learning_rate": 7.0242656449553e-06,
"loss": 0.9024,
"step": 640
},
{
"epoch": 3.74,
"learning_rate": 6.960408684546616e-06,
"loss": 0.8856,
"step": 650
},
{
"epoch": 3.79,
"learning_rate": 6.896551724137932e-06,
"loss": 0.8737,
"step": 660
},
{
"epoch": 3.85,
"learning_rate": 6.8326947637292475e-06,
"loss": 0.8769,
"step": 670
},
{
"epoch": 3.91,
"learning_rate": 6.7688378033205625e-06,
"loss": 0.8458,
"step": 680
},
{
"epoch": 3.97,
"learning_rate": 6.7049808429118775e-06,
"loss": 0.8532,
"step": 690
},
{
"epoch": 4.0,
"eval_accuracy": 0.6748113546532519,
"eval_f1": 0.6704058091543136,
"eval_loss": 0.9056226015090942,
"eval_precision": 0.671011997838509,
"eval_recall": 0.6748113546532519,
"eval_runtime": 122.0902,
"eval_samples_per_second": 22.795,
"eval_steps_per_second": 0.713,
"step": 696
},
{
"epoch": 4.02,
"learning_rate": 6.641123882503193e-06,
"loss": 0.8764,
"step": 700
},
{
"epoch": 4.08,
"learning_rate": 6.577266922094508e-06,
"loss": 0.8438,
"step": 710
},
{
"epoch": 4.14,
"learning_rate": 6.513409961685824e-06,
"loss": 0.859,
"step": 720
},
{
"epoch": 4.2,
"learning_rate": 6.44955300127714e-06,
"loss": 0.8099,
"step": 730
},
{
"epoch": 4.25,
"learning_rate": 6.385696040868455e-06,
"loss": 0.8806,
"step": 740
},
{
"epoch": 4.31,
"learning_rate": 6.321839080459771e-06,
"loss": 0.8234,
"step": 750
},
{
"epoch": 4.37,
"learning_rate": 6.257982120051086e-06,
"loss": 0.8176,
"step": 760
},
{
"epoch": 4.43,
"learning_rate": 6.194125159642402e-06,
"loss": 0.82,
"step": 770
},
{
"epoch": 4.48,
"learning_rate": 6.130268199233717e-06,
"loss": 0.8561,
"step": 780
},
{
"epoch": 4.54,
"learning_rate": 6.0664112388250325e-06,
"loss": 0.8107,
"step": 790
},
{
"epoch": 4.6,
"learning_rate": 6.002554278416348e-06,
"loss": 0.8412,
"step": 800
},
{
"epoch": 4.66,
"learning_rate": 5.938697318007663e-06,
"loss": 0.8313,
"step": 810
},
{
"epoch": 4.71,
"learning_rate": 5.874840357598979e-06,
"loss": 0.7896,
"step": 820
},
{
"epoch": 4.77,
"learning_rate": 5.810983397190294e-06,
"loss": 0.8225,
"step": 830
},
{
"epoch": 4.83,
"learning_rate": 5.747126436781609e-06,
"loss": 0.8159,
"step": 840
},
{
"epoch": 4.89,
"learning_rate": 5.683269476372925e-06,
"loss": 0.8163,
"step": 850
},
{
"epoch": 4.94,
"learning_rate": 5.619412515964241e-06,
"loss": 0.8419,
"step": 860
},
{
"epoch": 5.0,
"learning_rate": 5.555555555555557e-06,
"loss": 0.8211,
"step": 870
},
{
"epoch": 5.0,
"eval_accuracy": 0.6902623068630974,
"eval_f1": 0.6835928391775077,
"eval_loss": 0.8707393407821655,
"eval_precision": 0.6911502048300588,
"eval_recall": 0.6902623068630974,
"eval_runtime": 119.881,
"eval_samples_per_second": 23.215,
"eval_steps_per_second": 0.726,
"step": 870
},
{
"epoch": 5.06,
"learning_rate": 5.491698595146872e-06,
"loss": 0.8147,
"step": 880
},
{
"epoch": 5.11,
"learning_rate": 5.427841634738187e-06,
"loss": 0.8019,
"step": 890
},
{
"epoch": 5.17,
"learning_rate": 5.3639846743295025e-06,
"loss": 0.7958,
"step": 900
},
{
"epoch": 5.23,
"learning_rate": 5.3001277139208175e-06,
"loss": 0.7809,
"step": 910
},
{
"epoch": 5.29,
"learning_rate": 5.236270753512134e-06,
"loss": 0.7725,
"step": 920
},
{
"epoch": 5.34,
"learning_rate": 5.172413793103449e-06,
"loss": 0.7699,
"step": 930
},
{
"epoch": 5.4,
"learning_rate": 5.108556832694764e-06,
"loss": 0.7894,
"step": 940
},
{
"epoch": 5.46,
"learning_rate": 5.04469987228608e-06,
"loss": 0.7626,
"step": 950
},
{
"epoch": 5.52,
"learning_rate": 4.980842911877395e-06,
"loss": 0.7706,
"step": 960
},
{
"epoch": 5.57,
"learning_rate": 4.916985951468711e-06,
"loss": 0.7901,
"step": 970
},
{
"epoch": 5.63,
"learning_rate": 4.853128991060026e-06,
"loss": 0.7871,
"step": 980
},
{
"epoch": 5.69,
"learning_rate": 4.789272030651342e-06,
"loss": 0.7821,
"step": 990
},
{
"epoch": 5.75,
"learning_rate": 4.7254150702426575e-06,
"loss": 0.7738,
"step": 1000
},
{
"epoch": 5.8,
"learning_rate": 4.6615581098339725e-06,
"loss": 0.7532,
"step": 1010
},
{
"epoch": 5.86,
"learning_rate": 4.5977011494252875e-06,
"loss": 0.7959,
"step": 1020
},
{
"epoch": 5.92,
"learning_rate": 4.533844189016603e-06,
"loss": 0.7924,
"step": 1030
},
{
"epoch": 5.98,
"learning_rate": 4.469987228607919e-06,
"loss": 0.7797,
"step": 1040
},
{
"epoch": 6.0,
"eval_accuracy": 0.7049946101329501,
"eval_f1": 0.7018550701144215,
"eval_loss": 0.8472315669059753,
"eval_precision": 0.7049811673336778,
"eval_recall": 0.7049946101329501,
"eval_runtime": 118.5302,
"eval_samples_per_second": 23.479,
"eval_steps_per_second": 0.734,
"step": 1044
},
{
"epoch": 6.03,
"learning_rate": 4.406130268199234e-06,
"loss": 0.7548,
"step": 1050
},
{
"epoch": 6.09,
"learning_rate": 4.342273307790549e-06,
"loss": 0.7448,
"step": 1060
},
{
"epoch": 6.15,
"learning_rate": 4.278416347381865e-06,
"loss": 0.7411,
"step": 1070
},
{
"epoch": 6.21,
"learning_rate": 4.214559386973181e-06,
"loss": 0.7411,
"step": 1080
},
{
"epoch": 6.26,
"learning_rate": 4.150702426564496e-06,
"loss": 0.7549,
"step": 1090
},
{
"epoch": 6.32,
"learning_rate": 4.086845466155812e-06,
"loss": 0.7561,
"step": 1100
},
{
"epoch": 6.38,
"learning_rate": 4.022988505747127e-06,
"loss": 0.7306,
"step": 1110
},
{
"epoch": 6.44,
"learning_rate": 3.9591315453384425e-06,
"loss": 0.7402,
"step": 1120
},
{
"epoch": 6.49,
"learning_rate": 3.8952745849297575e-06,
"loss": 0.7481,
"step": 1130
},
{
"epoch": 6.55,
"learning_rate": 3.831417624521073e-06,
"loss": 0.7514,
"step": 1140
},
{
"epoch": 6.61,
"learning_rate": 3.7675606641123883e-06,
"loss": 0.7209,
"step": 1150
},
{
"epoch": 6.67,
"learning_rate": 3.7037037037037037e-06,
"loss": 0.7588,
"step": 1160
},
{
"epoch": 6.72,
"learning_rate": 3.6398467432950196e-06,
"loss": 0.7301,
"step": 1170
},
{
"epoch": 6.78,
"learning_rate": 3.575989782886335e-06,
"loss": 0.7595,
"step": 1180
},
{
"epoch": 6.84,
"learning_rate": 3.51213282247765e-06,
"loss": 0.7503,
"step": 1190
},
{
"epoch": 6.9,
"learning_rate": 3.448275862068966e-06,
"loss": 0.7577,
"step": 1200
},
{
"epoch": 6.95,
"learning_rate": 3.3844189016602812e-06,
"loss": 0.7816,
"step": 1210
},
{
"epoch": 7.0,
"eval_accuracy": 0.711103126122889,
"eval_f1": 0.7096465788234323,
"eval_loss": 0.8298304677009583,
"eval_precision": 0.709944412281279,
"eval_recall": 0.711103126122889,
"eval_runtime": 119.1978,
"eval_samples_per_second": 23.348,
"eval_steps_per_second": 0.73,
"step": 1218
},
{
"epoch": 7.01,
"learning_rate": 3.3205619412515967e-06,
"loss": 0.7419,
"step": 1220
},
{
"epoch": 7.07,
"learning_rate": 3.256704980842912e-06,
"loss": 0.7268,
"step": 1230
},
{
"epoch": 7.13,
"learning_rate": 3.1928480204342275e-06,
"loss": 0.7362,
"step": 1240
},
{
"epoch": 7.18,
"learning_rate": 3.128991060025543e-06,
"loss": 0.7113,
"step": 1250
},
{
"epoch": 7.24,
"learning_rate": 3.0651340996168583e-06,
"loss": 0.7304,
"step": 1260
},
{
"epoch": 7.3,
"learning_rate": 3.001277139208174e-06,
"loss": 0.7268,
"step": 1270
},
{
"epoch": 7.36,
"learning_rate": 2.9374201787994896e-06,
"loss": 0.7492,
"step": 1280
},
{
"epoch": 7.41,
"learning_rate": 2.8735632183908046e-06,
"loss": 0.7495,
"step": 1290
},
{
"epoch": 7.47,
"learning_rate": 2.8097062579821204e-06,
"loss": 0.7137,
"step": 1300
},
{
"epoch": 7.53,
"learning_rate": 2.745849297573436e-06,
"loss": 0.6653,
"step": 1310
},
{
"epoch": 7.59,
"learning_rate": 2.6819923371647512e-06,
"loss": 0.7458,
"step": 1320
},
{
"epoch": 7.64,
"learning_rate": 2.618135376756067e-06,
"loss": 0.7084,
"step": 1330
},
{
"epoch": 7.7,
"learning_rate": 2.554278416347382e-06,
"loss": 0.7152,
"step": 1340
},
{
"epoch": 7.76,
"learning_rate": 2.4904214559386975e-06,
"loss": 0.7296,
"step": 1350
},
{
"epoch": 7.82,
"learning_rate": 2.426564495530013e-06,
"loss": 0.7302,
"step": 1360
},
{
"epoch": 7.87,
"learning_rate": 2.3627075351213288e-06,
"loss": 0.7115,
"step": 1370
},
{
"epoch": 7.93,
"learning_rate": 2.2988505747126437e-06,
"loss": 0.7102,
"step": 1380
},
{
"epoch": 7.99,
"learning_rate": 2.2349936143039596e-06,
"loss": 0.7135,
"step": 1390
},
{
"epoch": 8.0,
"eval_accuracy": 0.711103126122889,
"eval_f1": 0.7104715357081519,
"eval_loss": 0.8186008930206299,
"eval_precision": 0.7115641078956643,
"eval_recall": 0.711103126122889,
"eval_runtime": 117.6876,
"eval_samples_per_second": 23.647,
"eval_steps_per_second": 0.739,
"step": 1392
},
{
"epoch": 8.05,
"learning_rate": 2.1711366538952746e-06,
"loss": 0.7341,
"step": 1400
},
{
"epoch": 8.1,
"learning_rate": 2.1072796934865904e-06,
"loss": 0.7087,
"step": 1410
},
{
"epoch": 8.16,
"learning_rate": 2.043422733077906e-06,
"loss": 0.6933,
"step": 1420
},
{
"epoch": 8.22,
"learning_rate": 1.9795657726692212e-06,
"loss": 0.6797,
"step": 1430
},
{
"epoch": 8.28,
"learning_rate": 1.9157088122605367e-06,
"loss": 0.7131,
"step": 1440
},
{
"epoch": 8.33,
"learning_rate": 1.8518518518518519e-06,
"loss": 0.6984,
"step": 1450
},
{
"epoch": 8.39,
"learning_rate": 1.7879948914431675e-06,
"loss": 0.7297,
"step": 1460
},
{
"epoch": 8.45,
"learning_rate": 1.724137931034483e-06,
"loss": 0.682,
"step": 1470
},
{
"epoch": 8.51,
"learning_rate": 1.6602809706257983e-06,
"loss": 0.7342,
"step": 1480
},
{
"epoch": 8.56,
"learning_rate": 1.5964240102171137e-06,
"loss": 0.6765,
"step": 1490
},
{
"epoch": 8.62,
"learning_rate": 1.5325670498084292e-06,
"loss": 0.7025,
"step": 1500
},
{
"epoch": 8.68,
"learning_rate": 1.4687100893997448e-06,
"loss": 0.7083,
"step": 1510
},
{
"epoch": 8.74,
"learning_rate": 1.4048531289910602e-06,
"loss": 0.736,
"step": 1520
},
{
"epoch": 8.79,
"learning_rate": 1.3409961685823756e-06,
"loss": 0.7322,
"step": 1530
},
{
"epoch": 8.85,
"learning_rate": 1.277139208173691e-06,
"loss": 0.7155,
"step": 1540
},
{
"epoch": 8.91,
"learning_rate": 1.2132822477650065e-06,
"loss": 0.6858,
"step": 1550
},
{
"epoch": 8.97,
"learning_rate": 1.1494252873563219e-06,
"loss": 0.6697,
"step": 1560
},
{
"epoch": 9.0,
"eval_accuracy": 0.7139777218828602,
"eval_f1": 0.7125796647900873,
"eval_loss": 0.8142775893211365,
"eval_precision": 0.7124041188610695,
"eval_recall": 0.7139777218828602,
"eval_runtime": 118.3402,
"eval_samples_per_second": 23.517,
"eval_steps_per_second": 0.735,
"step": 1566
},
{
"epoch": 9.02,
"learning_rate": 1.0855683269476373e-06,
"loss": 0.6946,
"step": 1570
},
{
"epoch": 9.08,
"learning_rate": 1.021711366538953e-06,
"loss": 0.7208,
"step": 1580
},
{
"epoch": 9.14,
"learning_rate": 9.578544061302683e-07,
"loss": 0.6807,
"step": 1590
},
{
"epoch": 9.2,
"learning_rate": 8.939974457215837e-07,
"loss": 0.6802,
"step": 1600
},
{
"epoch": 9.25,
"learning_rate": 8.301404853128992e-07,
"loss": 0.6758,
"step": 1610
},
{
"epoch": 9.31,
"learning_rate": 7.662835249042146e-07,
"loss": 0.701,
"step": 1620
},
{
"epoch": 9.37,
"learning_rate": 7.024265644955301e-07,
"loss": 0.6773,
"step": 1630
},
{
"epoch": 9.43,
"learning_rate": 6.385696040868455e-07,
"loss": 0.7187,
"step": 1640
},
{
"epoch": 9.48,
"learning_rate": 5.747126436781609e-07,
"loss": 0.718,
"step": 1650
},
{
"epoch": 9.54,
"learning_rate": 5.108556832694765e-07,
"loss": 0.6475,
"step": 1660
},
{
"epoch": 9.6,
"learning_rate": 4.469987228607919e-07,
"loss": 0.6674,
"step": 1670
},
{
"epoch": 9.66,
"learning_rate": 3.831417624521073e-07,
"loss": 0.7031,
"step": 1680
},
{
"epoch": 9.71,
"learning_rate": 3.1928480204342276e-07,
"loss": 0.6774,
"step": 1690
},
{
"epoch": 9.77,
"learning_rate": 2.5542784163473823e-07,
"loss": 0.714,
"step": 1700
},
{
"epoch": 9.83,
"learning_rate": 1.9157088122605365e-07,
"loss": 0.7166,
"step": 1710
},
{
"epoch": 9.89,
"learning_rate": 1.2771392081736911e-07,
"loss": 0.6785,
"step": 1720
},
{
"epoch": 9.94,
"learning_rate": 6.385696040868456e-08,
"loss": 0.6709,
"step": 1730
},
{
"epoch": 10.0,
"learning_rate": 0.0,
"loss": 0.6765,
"step": 1740
},
{
"epoch": 10.0,
"eval_accuracy": 0.7179302910528207,
"eval_f1": 0.7166821507529032,
"eval_loss": 0.8116216063499451,
"eval_precision": 0.7173911115103917,
"eval_recall": 0.7179302910528207,
"eval_runtime": 116.0529,
"eval_samples_per_second": 23.98,
"eval_steps_per_second": 0.75,
"step": 1740
},
{
"epoch": 10.0,
"step": 1740,
"total_flos": 1.7248939997743964e+19,
"train_loss": 0.9384366534222132,
"train_runtime": 18925.0232,
"train_samples_per_second": 11.761,
"train_steps_per_second": 0.092
}
],
"max_steps": 1740,
"num_train_epochs": 10,
"total_flos": 1.7248939997743964e+19,
"trial_name": null,
"trial_params": null
}