20230826123019 / trainer_state.json
dkqjrm's picture
End of training
1b62032
raw
history blame contribute delete
No virus
28.1 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 80.0,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.66,
"eval_loss": 0.6010557413101196,
"eval_runtime": 2.8952,
"eval_samples_per_second": 34.539,
"eval_steps_per_second": 4.49,
"step": 25
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 1.0,
"step": 25
},
{
"epoch": 2.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5991448163986206,
"eval_runtime": 2.9197,
"eval_samples_per_second": 34.25,
"eval_steps_per_second": 4.453,
"step": 50
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 2.0,
"step": 50
},
{
"epoch": 3.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5983209609985352,
"eval_runtime": 2.9581,
"eval_samples_per_second": 33.806,
"eval_steps_per_second": 4.395,
"step": 75
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 3.0,
"step": 75
},
{
"epoch": 4.0,
"eval_accuracy": 0.65,
"eval_loss": 0.6062744855880737,
"eval_runtime": 2.9913,
"eval_samples_per_second": 33.43,
"eval_steps_per_second": 4.346,
"step": 100
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 4.0,
"step": 100
},
{
"epoch": 5.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5972874164581299,
"eval_runtime": 3.0135,
"eval_samples_per_second": 33.184,
"eval_steps_per_second": 4.314,
"step": 125
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 5.0,
"step": 125
},
{
"epoch": 6.0,
"eval_accuracy": 0.65,
"eval_loss": 0.6048508286476135,
"eval_runtime": 3.0172,
"eval_samples_per_second": 33.143,
"eval_steps_per_second": 4.309,
"step": 150
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 6.0,
"step": 150
},
{
"epoch": 7.0,
"eval_accuracy": 0.65,
"eval_loss": 0.6030882596969604,
"eval_runtime": 3.0217,
"eval_samples_per_second": 33.094,
"eval_steps_per_second": 4.302,
"step": 175
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 7.0,
"step": 175
},
{
"epoch": 8.0,
"eval_accuracy": 0.65,
"eval_loss": 0.6000898480415344,
"eval_runtime": 3.0239,
"eval_samples_per_second": 33.07,
"eval_steps_per_second": 4.299,
"step": 200
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 8.0,
"step": 200
},
{
"epoch": 9.0,
"eval_accuracy": 0.64,
"eval_loss": 0.5968500971794128,
"eval_runtime": 3.0268,
"eval_samples_per_second": 33.038,
"eval_steps_per_second": 4.295,
"step": 225
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 9.0,
"step": 225
},
{
"epoch": 10.0,
"eval_accuracy": 0.65,
"eval_loss": 0.6007280945777893,
"eval_runtime": 3.0282,
"eval_samples_per_second": 33.023,
"eval_steps_per_second": 4.293,
"step": 250
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 10.0,
"step": 250
},
{
"epoch": 11.0,
"eval_accuracy": 0.65,
"eval_loss": 0.6015586853027344,
"eval_runtime": 3.027,
"eval_samples_per_second": 33.036,
"eval_steps_per_second": 4.295,
"step": 275
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 11.0,
"step": 275
},
{
"epoch": 12.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5992419123649597,
"eval_runtime": 3.0339,
"eval_samples_per_second": 32.961,
"eval_steps_per_second": 4.285,
"step": 300
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 12.0,
"step": 300
},
{
"epoch": 13.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5967671275138855,
"eval_runtime": 3.0311,
"eval_samples_per_second": 32.992,
"eval_steps_per_second": 4.289,
"step": 325
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 13.0,
"step": 325
},
{
"epoch": 14.0,
"eval_accuracy": 0.65,
"eval_loss": 0.596794605255127,
"eval_runtime": 3.0286,
"eval_samples_per_second": 33.018,
"eval_steps_per_second": 4.292,
"step": 350
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 14.0,
"step": 350
},
{
"epoch": 15.0,
"eval_accuracy": 0.65,
"eval_loss": 0.600039541721344,
"eval_runtime": 3.0308,
"eval_samples_per_second": 32.995,
"eval_steps_per_second": 4.289,
"step": 375
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 15.0,
"step": 375
},
{
"epoch": 16.0,
"eval_accuracy": 0.65,
"eval_loss": 0.6000267267227173,
"eval_runtime": 3.0298,
"eval_samples_per_second": 33.006,
"eval_steps_per_second": 4.291,
"step": 400
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 16.0,
"step": 400
},
{
"epoch": 17.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5882958769798279,
"eval_runtime": 3.029,
"eval_samples_per_second": 33.015,
"eval_steps_per_second": 4.292,
"step": 425
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 17.0,
"step": 425
},
{
"epoch": 18.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5920267701148987,
"eval_runtime": 3.0314,
"eval_samples_per_second": 32.988,
"eval_steps_per_second": 4.288,
"step": 450
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 18.0,
"step": 450
},
{
"epoch": 19.0,
"eval_accuracy": 0.62,
"eval_loss": 0.6034604907035828,
"eval_runtime": 3.0306,
"eval_samples_per_second": 32.997,
"eval_steps_per_second": 4.29,
"step": 475
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 19.0,
"step": 475
},
{
"epoch": 20.0,
"learning_rate": 0.00075,
"loss": 0.6519,
"step": 500
},
{
"epoch": 20.0,
"eval_accuracy": 0.64,
"eval_loss": 0.6074941158294678,
"eval_runtime": 3.0321,
"eval_samples_per_second": 32.981,
"eval_steps_per_second": 4.287,
"step": 500
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 20.0,
"step": 500
},
{
"epoch": 21.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5919292569160461,
"eval_runtime": 3.03,
"eval_samples_per_second": 33.003,
"eval_steps_per_second": 4.29,
"step": 525
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 21.0,
"step": 525
},
{
"epoch": 22.0,
"eval_accuracy": 0.63,
"eval_loss": 0.5951123237609863,
"eval_runtime": 3.0298,
"eval_samples_per_second": 33.006,
"eval_steps_per_second": 4.291,
"step": 550
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 22.0,
"step": 550
},
{
"epoch": 23.0,
"eval_accuracy": 0.61,
"eval_loss": 0.603710412979126,
"eval_runtime": 3.0294,
"eval_samples_per_second": 33.009,
"eval_steps_per_second": 4.291,
"step": 575
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 23.0,
"step": 575
},
{
"epoch": 24.0,
"eval_accuracy": 0.62,
"eval_loss": 0.6057878732681274,
"eval_runtime": 3.0274,
"eval_samples_per_second": 33.032,
"eval_steps_per_second": 4.294,
"step": 600
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 24.0,
"step": 600
},
{
"epoch": 25.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5943801999092102,
"eval_runtime": 3.0273,
"eval_samples_per_second": 33.033,
"eval_steps_per_second": 4.294,
"step": 625
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 25.0,
"step": 625
},
{
"epoch": 26.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5938175320625305,
"eval_runtime": 3.0318,
"eval_samples_per_second": 32.983,
"eval_steps_per_second": 4.288,
"step": 650
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 26.0,
"step": 650
},
{
"epoch": 27.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5908843278884888,
"eval_runtime": 3.0311,
"eval_samples_per_second": 32.991,
"eval_steps_per_second": 4.289,
"step": 675
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 27.0,
"step": 675
},
{
"epoch": 28.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5914073586463928,
"eval_runtime": 3.0408,
"eval_samples_per_second": 32.886,
"eval_steps_per_second": 4.275,
"step": 700
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 28.0,
"step": 700
},
{
"epoch": 29.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5901620388031006,
"eval_runtime": 3.0355,
"eval_samples_per_second": 32.943,
"eval_steps_per_second": 4.283,
"step": 725
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 29.0,
"step": 725
},
{
"epoch": 30.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5905589461326599,
"eval_runtime": 3.0236,
"eval_samples_per_second": 33.073,
"eval_steps_per_second": 4.3,
"step": 750
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 30.0,
"step": 750
},
{
"epoch": 31.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5935985445976257,
"eval_runtime": 3.023,
"eval_samples_per_second": 33.08,
"eval_steps_per_second": 4.3,
"step": 775
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 31.0,
"step": 775
},
{
"epoch": 32.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5959981679916382,
"eval_runtime": 3.0241,
"eval_samples_per_second": 33.068,
"eval_steps_per_second": 4.299,
"step": 800
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 32.0,
"step": 800
},
{
"epoch": 33.0,
"eval_accuracy": 0.65,
"eval_loss": 0.595251739025116,
"eval_runtime": 3.0223,
"eval_samples_per_second": 33.088,
"eval_steps_per_second": 4.301,
"step": 825
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 33.0,
"step": 825
},
{
"epoch": 34.0,
"eval_accuracy": 0.65,
"eval_loss": 0.597002387046814,
"eval_runtime": 3.0261,
"eval_samples_per_second": 33.046,
"eval_steps_per_second": 4.296,
"step": 850
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 34.0,
"step": 850
},
{
"epoch": 35.0,
"eval_accuracy": 0.65,
"eval_loss": 0.593684732913971,
"eval_runtime": 3.0258,
"eval_samples_per_second": 33.049,
"eval_steps_per_second": 4.296,
"step": 875
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 35.0,
"step": 875
},
{
"epoch": 36.0,
"eval_accuracy": 0.64,
"eval_loss": 0.5954169034957886,
"eval_runtime": 3.0248,
"eval_samples_per_second": 33.06,
"eval_steps_per_second": 4.298,
"step": 900
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 36.0,
"step": 900
},
{
"epoch": 37.0,
"eval_accuracy": 0.63,
"eval_loss": 0.5992526412010193,
"eval_runtime": 3.0254,
"eval_samples_per_second": 33.053,
"eval_steps_per_second": 4.297,
"step": 925
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 37.0,
"step": 925
},
{
"epoch": 38.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5905333161354065,
"eval_runtime": 3.0228,
"eval_samples_per_second": 33.082,
"eval_steps_per_second": 4.301,
"step": 950
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 38.0,
"step": 950
},
{
"epoch": 39.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5898448824882507,
"eval_runtime": 3.0254,
"eval_samples_per_second": 33.053,
"eval_steps_per_second": 4.297,
"step": 975
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 39.0,
"step": 975
},
{
"epoch": 40.0,
"learning_rate": 0.0005,
"loss": 0.6395,
"step": 1000
},
{
"epoch": 40.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5947265028953552,
"eval_runtime": 3.0242,
"eval_samples_per_second": 33.067,
"eval_steps_per_second": 4.299,
"step": 1000
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 40.0,
"step": 1000
},
{
"epoch": 41.0,
"eval_accuracy": 0.64,
"eval_loss": 0.5965713262557983,
"eval_runtime": 3.0253,
"eval_samples_per_second": 33.054,
"eval_steps_per_second": 4.297,
"step": 1025
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 41.0,
"step": 1025
},
{
"epoch": 42.0,
"eval_accuracy": 0.65,
"eval_loss": 0.595311164855957,
"eval_runtime": 3.0266,
"eval_samples_per_second": 33.04,
"eval_steps_per_second": 4.295,
"step": 1050
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 42.0,
"step": 1050
},
{
"epoch": 43.0,
"eval_accuracy": 0.64,
"eval_loss": 0.59684818983078,
"eval_runtime": 3.0241,
"eval_samples_per_second": 33.067,
"eval_steps_per_second": 4.299,
"step": 1075
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 43.0,
"step": 1075
},
{
"epoch": 44.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5934141874313354,
"eval_runtime": 3.0236,
"eval_samples_per_second": 33.074,
"eval_steps_per_second": 4.3,
"step": 1100
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 44.0,
"step": 1100
},
{
"epoch": 45.0,
"eval_accuracy": 0.66,
"eval_loss": 0.59480881690979,
"eval_runtime": 3.0258,
"eval_samples_per_second": 33.049,
"eval_steps_per_second": 4.296,
"step": 1125
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 45.0,
"step": 1125
},
{
"epoch": 46.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5958330035209656,
"eval_runtime": 3.0235,
"eval_samples_per_second": 33.074,
"eval_steps_per_second": 4.3,
"step": 1150
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 46.0,
"step": 1150
},
{
"epoch": 47.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5928426384925842,
"eval_runtime": 3.0224,
"eval_samples_per_second": 33.086,
"eval_steps_per_second": 4.301,
"step": 1175
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 47.0,
"step": 1175
},
{
"epoch": 48.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5922430157661438,
"eval_runtime": 3.0243,
"eval_samples_per_second": 33.065,
"eval_steps_per_second": 4.298,
"step": 1200
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 48.0,
"step": 1200
},
{
"epoch": 49.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5928506255149841,
"eval_runtime": 3.0246,
"eval_samples_per_second": 33.063,
"eval_steps_per_second": 4.298,
"step": 1225
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 49.0,
"step": 1225
},
{
"epoch": 50.0,
"eval_accuracy": 0.64,
"eval_loss": 0.5967039465904236,
"eval_runtime": 3.0208,
"eval_samples_per_second": 33.103,
"eval_steps_per_second": 4.303,
"step": 1250
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 50.0,
"step": 1250
},
{
"epoch": 51.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5907678008079529,
"eval_runtime": 3.0228,
"eval_samples_per_second": 33.082,
"eval_steps_per_second": 4.301,
"step": 1275
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 51.0,
"step": 1275
},
{
"epoch": 52.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5929586887359619,
"eval_runtime": 3.0225,
"eval_samples_per_second": 33.085,
"eval_steps_per_second": 4.301,
"step": 1300
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 52.0,
"step": 1300
},
{
"epoch": 53.0,
"eval_accuracy": 0.65,
"eval_loss": 0.590965986251831,
"eval_runtime": 3.0223,
"eval_samples_per_second": 33.088,
"eval_steps_per_second": 4.301,
"step": 1325
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 53.0,
"step": 1325
},
{
"epoch": 54.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5930989980697632,
"eval_runtime": 3.0227,
"eval_samples_per_second": 33.083,
"eval_steps_per_second": 4.301,
"step": 1350
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 54.0,
"step": 1350
},
{
"epoch": 55.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5900382399559021,
"eval_runtime": 3.022,
"eval_samples_per_second": 33.091,
"eval_steps_per_second": 4.302,
"step": 1375
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 55.0,
"step": 1375
},
{
"epoch": 56.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5924661159515381,
"eval_runtime": 3.0221,
"eval_samples_per_second": 33.09,
"eval_steps_per_second": 4.302,
"step": 1400
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 56.0,
"step": 1400
},
{
"epoch": 57.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5937650203704834,
"eval_runtime": 3.0236,
"eval_samples_per_second": 33.073,
"eval_steps_per_second": 4.3,
"step": 1425
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 57.0,
"step": 1425
},
{
"epoch": 58.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5963329076766968,
"eval_runtime": 3.0249,
"eval_samples_per_second": 33.059,
"eval_steps_per_second": 4.298,
"step": 1450
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 58.0,
"step": 1450
},
{
"epoch": 59.0,
"eval_accuracy": 0.64,
"eval_loss": 0.5954621434211731,
"eval_runtime": 3.0247,
"eval_samples_per_second": 33.061,
"eval_steps_per_second": 4.298,
"step": 1475
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 59.0,
"step": 1475
},
{
"epoch": 60.0,
"learning_rate": 0.00025,
"loss": 0.6331,
"step": 1500
},
{
"epoch": 60.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5935218930244446,
"eval_runtime": 3.0258,
"eval_samples_per_second": 33.049,
"eval_steps_per_second": 4.296,
"step": 1500
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 60.0,
"step": 1500
},
{
"epoch": 61.0,
"eval_accuracy": 0.66,
"eval_loss": 0.5937374830245972,
"eval_runtime": 3.0237,
"eval_samples_per_second": 33.072,
"eval_steps_per_second": 4.299,
"step": 1525
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 61.0,
"step": 1525
},
{
"epoch": 62.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5923505425453186,
"eval_runtime": 3.0211,
"eval_samples_per_second": 33.101,
"eval_steps_per_second": 4.303,
"step": 1550
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 62.0,
"step": 1550
},
{
"epoch": 63.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5909485816955566,
"eval_runtime": 3.0219,
"eval_samples_per_second": 33.092,
"eval_steps_per_second": 4.302,
"step": 1575
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 63.0,
"step": 1575
},
{
"epoch": 64.0,
"eval_accuracy": 0.65,
"eval_loss": 0.589134931564331,
"eval_runtime": 3.026,
"eval_samples_per_second": 33.047,
"eval_steps_per_second": 4.296,
"step": 1600
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 64.0,
"step": 1600
},
{
"epoch": 65.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5880649089813232,
"eval_runtime": 3.0289,
"eval_samples_per_second": 33.015,
"eval_steps_per_second": 4.292,
"step": 1625
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 65.0,
"step": 1625
},
{
"epoch": 66.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5884314775466919,
"eval_runtime": 3.0234,
"eval_samples_per_second": 33.075,
"eval_steps_per_second": 4.3,
"step": 1650
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 66.0,
"step": 1650
},
{
"epoch": 67.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5893000960350037,
"eval_runtime": 3.0241,
"eval_samples_per_second": 33.067,
"eval_steps_per_second": 4.299,
"step": 1675
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 67.0,
"step": 1675
},
{
"epoch": 68.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5899676084518433,
"eval_runtime": 3.028,
"eval_samples_per_second": 33.025,
"eval_steps_per_second": 4.293,
"step": 1700
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 68.0,
"step": 1700
},
{
"epoch": 69.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5908388495445251,
"eval_runtime": 3.0265,
"eval_samples_per_second": 33.041,
"eval_steps_per_second": 4.295,
"step": 1725
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 69.0,
"step": 1725
},
{
"epoch": 70.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5911998748779297,
"eval_runtime": 3.0244,
"eval_samples_per_second": 33.065,
"eval_steps_per_second": 4.298,
"step": 1750
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 70.0,
"step": 1750
},
{
"epoch": 71.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5914051532745361,
"eval_runtime": 3.0277,
"eval_samples_per_second": 33.029,
"eval_steps_per_second": 4.294,
"step": 1775
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 71.0,
"step": 1775
},
{
"epoch": 72.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5901281237602234,
"eval_runtime": 3.0271,
"eval_samples_per_second": 33.035,
"eval_steps_per_second": 4.294,
"step": 1800
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 72.0,
"step": 1800
},
{
"epoch": 73.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5898309350013733,
"eval_runtime": 3.0251,
"eval_samples_per_second": 33.057,
"eval_steps_per_second": 4.297,
"step": 1825
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 73.0,
"step": 1825
},
{
"epoch": 74.0,
"eval_accuracy": 0.65,
"eval_loss": 0.589576005935669,
"eval_runtime": 3.0338,
"eval_samples_per_second": 32.961,
"eval_steps_per_second": 4.285,
"step": 1850
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 74.0,
"step": 1850
},
{
"epoch": 75.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5904554128646851,
"eval_runtime": 3.0252,
"eval_samples_per_second": 33.055,
"eval_steps_per_second": 4.297,
"step": 1875
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 75.0,
"step": 1875
},
{
"epoch": 76.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5900978446006775,
"eval_runtime": 3.0257,
"eval_samples_per_second": 33.05,
"eval_steps_per_second": 4.296,
"step": 1900
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 76.0,
"step": 1900
},
{
"epoch": 77.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5900523662567139,
"eval_runtime": 3.0269,
"eval_samples_per_second": 33.037,
"eval_steps_per_second": 4.295,
"step": 1925
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 77.0,
"step": 1925
},
{
"epoch": 78.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5899617671966553,
"eval_runtime": 3.0271,
"eval_samples_per_second": 33.034,
"eval_steps_per_second": 4.294,
"step": 1950
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 78.0,
"step": 1950
},
{
"epoch": 79.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5899820327758789,
"eval_runtime": 3.0253,
"eval_samples_per_second": 33.055,
"eval_steps_per_second": 4.297,
"step": 1975
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 79.0,
"step": 1975
},
{
"epoch": 80.0,
"learning_rate": 0.0,
"loss": 0.6276,
"step": 2000
},
{
"epoch": 80.0,
"eval_accuracy": 0.65,
"eval_loss": 0.5899689793586731,
"eval_runtime": 3.0275,
"eval_samples_per_second": 33.03,
"eval_steps_per_second": 4.294,
"step": 2000
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.66,
"epoch": 80.0,
"step": 2000
},
{
"epoch": 80.0,
"step": 2000,
"total_flos": 2.9821702864896e+16,
"train_loss": 0.6380199432373047,
"train_runtime": 1620.376,
"train_samples_per_second": 19.749,
"train_steps_per_second": 1.234
}
],
"max_steps": 2000,
"num_train_epochs": 80,
"total_flos": 2.9821702864896e+16,
"trial_name": null,
"trial_params": null
}