ptv2-roberta-large-boolq / trainer_state.json
vanqui-tu's picture
Upload folder using huggingface_hub
f3fb087 verified
{
"best_metric": 0.8354740061162079,
"best_model_checkpoint": "checkpoints/boolq-roberta/checkpoint-15930",
"epoch": 54.0,
"global_step": 15930,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.5525993883792049,
"eval_loss": 0.6860924959182739,
"eval_runtime": 9.8191,
"eval_samples_per_second": 333.024,
"eval_steps_per_second": 41.654,
"step": 295
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.5525993883792049,
"epoch": 1.0,
"step": 295
},
{
"epoch": 1.69,
"learning_rate": 0.0068813559322033905,
"loss": 0.768,
"step": 500
},
{
"epoch": 2.0,
"eval_accuracy": 0.6259938837920489,
"eval_loss": 0.6413273811340332,
"eval_runtime": 9.8093,
"eval_samples_per_second": 333.357,
"eval_steps_per_second": 41.695,
"step": 590
},
{
"best_epoch": 1,
"best_eval_accuracy": 0.6259938837920489,
"epoch": 2.0,
"step": 590
},
{
"epoch": 3.0,
"eval_accuracy": 0.7058103975535168,
"eval_loss": 0.7142531871795654,
"eval_runtime": 9.821,
"eval_samples_per_second": 332.961,
"eval_steps_per_second": 41.646,
"step": 885
},
{
"best_epoch": 2,
"best_eval_accuracy": 0.7058103975535168,
"epoch": 3.0,
"step": 885
},
{
"epoch": 3.39,
"learning_rate": 0.00676271186440678,
"loss": 0.7341,
"step": 1000
},
{
"epoch": 4.0,
"eval_accuracy": 0.7798165137614679,
"eval_loss": 0.4908980429172516,
"eval_runtime": 9.8251,
"eval_samples_per_second": 332.822,
"eval_steps_per_second": 41.628,
"step": 1180
},
{
"best_epoch": 3,
"best_eval_accuracy": 0.7798165137614679,
"epoch": 4.0,
"step": 1180
},
{
"epoch": 5.0,
"eval_accuracy": 0.7865443425076453,
"eval_loss": 0.4921702444553375,
"eval_runtime": 9.8323,
"eval_samples_per_second": 332.579,
"eval_steps_per_second": 41.598,
"step": 1475
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.7865443425076453,
"epoch": 5.0,
"step": 1475
},
{
"epoch": 5.08,
"learning_rate": 0.00664406779661017,
"loss": 0.6102,
"step": 1500
},
{
"epoch": 6.0,
"eval_accuracy": 0.791743119266055,
"eval_loss": 0.5190699696540833,
"eval_runtime": 9.8121,
"eval_samples_per_second": 333.263,
"eval_steps_per_second": 41.683,
"step": 1770
},
{
"best_epoch": 5,
"best_eval_accuracy": 0.791743119266055,
"epoch": 6.0,
"step": 1770
},
{
"epoch": 6.78,
"learning_rate": 0.006525423728813559,
"loss": 0.5638,
"step": 2000
},
{
"epoch": 7.0,
"eval_accuracy": 0.7602446483180428,
"eval_loss": 0.5134357810020447,
"eval_runtime": 9.8046,
"eval_samples_per_second": 333.516,
"eval_steps_per_second": 41.715,
"step": 2065
},
{
"best_epoch": 5,
"best_eval_accuracy": 0.791743119266055,
"epoch": 7.0,
"step": 2065
},
{
"epoch": 8.0,
"eval_accuracy": 0.8048929663608563,
"eval_loss": 0.4786987006664276,
"eval_runtime": 9.8048,
"eval_samples_per_second": 333.508,
"eval_steps_per_second": 41.714,
"step": 2360
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.8048929663608563,
"epoch": 8.0,
"step": 2360
},
{
"epoch": 8.47,
"learning_rate": 0.006406779661016949,
"loss": 0.5123,
"step": 2500
},
{
"epoch": 9.0,
"eval_accuracy": 0.8036697247706422,
"eval_loss": 0.4702308177947998,
"eval_runtime": 9.8236,
"eval_samples_per_second": 332.873,
"eval_steps_per_second": 41.635,
"step": 2655
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.8048929663608563,
"epoch": 9.0,
"step": 2655
},
{
"epoch": 10.0,
"eval_accuracy": 0.791743119266055,
"eval_loss": 0.5443930625915527,
"eval_runtime": 9.8027,
"eval_samples_per_second": 333.58,
"eval_steps_per_second": 41.723,
"step": 2950
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.8048929663608563,
"epoch": 10.0,
"step": 2950
},
{
"epoch": 10.17,
"learning_rate": 0.006288135593220339,
"loss": 0.5045,
"step": 3000
},
{
"epoch": 11.0,
"eval_accuracy": 0.7871559633027523,
"eval_loss": 0.5409664511680603,
"eval_runtime": 9.8211,
"eval_samples_per_second": 332.955,
"eval_steps_per_second": 41.645,
"step": 3245
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.8048929663608563,
"epoch": 11.0,
"step": 3245
},
{
"epoch": 11.86,
"learning_rate": 0.006169491525423729,
"loss": 0.4583,
"step": 3500
},
{
"epoch": 12.0,
"eval_accuracy": 0.8162079510703364,
"eval_loss": 0.460715115070343,
"eval_runtime": 9.8053,
"eval_samples_per_second": 333.493,
"eval_steps_per_second": 41.712,
"step": 3540
},
{
"best_epoch": 11,
"best_eval_accuracy": 0.8162079510703364,
"epoch": 12.0,
"step": 3540
},
{
"epoch": 13.0,
"eval_accuracy": 0.8079510703363915,
"eval_loss": 0.5161741375923157,
"eval_runtime": 9.8021,
"eval_samples_per_second": 333.603,
"eval_steps_per_second": 41.726,
"step": 3835
},
{
"best_epoch": 11,
"best_eval_accuracy": 0.8162079510703364,
"epoch": 13.0,
"step": 3835
},
{
"epoch": 13.56,
"learning_rate": 0.006050847457627119,
"loss": 0.4401,
"step": 4000
},
{
"epoch": 14.0,
"eval_accuracy": 0.826605504587156,
"eval_loss": 0.5039022564888,
"eval_runtime": 9.7965,
"eval_samples_per_second": 333.792,
"eval_steps_per_second": 41.75,
"step": 4130
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.826605504587156,
"epoch": 14.0,
"step": 4130
},
{
"epoch": 15.0,
"eval_accuracy": 0.807645259938838,
"eval_loss": 0.4858939051628113,
"eval_runtime": 9.8364,
"eval_samples_per_second": 332.437,
"eval_steps_per_second": 41.58,
"step": 4425
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.826605504587156,
"epoch": 15.0,
"step": 4425
},
{
"epoch": 15.25,
"learning_rate": 0.005932203389830509,
"loss": 0.4317,
"step": 4500
},
{
"epoch": 16.0,
"eval_accuracy": 0.8006116207951071,
"eval_loss": 0.5990845561027527,
"eval_runtime": 9.8097,
"eval_samples_per_second": 333.344,
"eval_steps_per_second": 41.694,
"step": 4720
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.826605504587156,
"epoch": 16.0,
"step": 4720
},
{
"epoch": 16.95,
"learning_rate": 0.005813559322033898,
"loss": 0.3821,
"step": 5000
},
{
"epoch": 17.0,
"eval_accuracy": 0.8214067278287461,
"eval_loss": 0.6158734560012817,
"eval_runtime": 9.8135,
"eval_samples_per_second": 333.213,
"eval_steps_per_second": 41.677,
"step": 5015
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.826605504587156,
"epoch": 17.0,
"step": 5015
},
{
"epoch": 18.0,
"eval_accuracy": 0.8024464831804281,
"eval_loss": 0.6013011336326599,
"eval_runtime": 9.8051,
"eval_samples_per_second": 333.5,
"eval_steps_per_second": 41.713,
"step": 5310
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.826605504587156,
"epoch": 18.0,
"step": 5310
},
{
"epoch": 18.64,
"learning_rate": 0.005694915254237288,
"loss": 0.3534,
"step": 5500
},
{
"epoch": 19.0,
"eval_accuracy": 0.8226299694189603,
"eval_loss": 0.5256037712097168,
"eval_runtime": 9.8062,
"eval_samples_per_second": 333.464,
"eval_steps_per_second": 41.708,
"step": 5605
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.826605504587156,
"epoch": 19.0,
"step": 5605
},
{
"epoch": 20.0,
"eval_accuracy": 0.8256880733944955,
"eval_loss": 0.6150120496749878,
"eval_runtime": 9.8251,
"eval_samples_per_second": 332.821,
"eval_steps_per_second": 41.628,
"step": 5900
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.826605504587156,
"epoch": 20.0,
"step": 5900
},
{
"epoch": 20.34,
"learning_rate": 0.005576271186440678,
"loss": 0.337,
"step": 6000
},
{
"epoch": 21.0,
"eval_accuracy": 0.828440366972477,
"eval_loss": 0.5820947885513306,
"eval_runtime": 9.8077,
"eval_samples_per_second": 333.413,
"eval_steps_per_second": 41.702,
"step": 6195
},
{
"best_epoch": 20,
"best_eval_accuracy": 0.828440366972477,
"epoch": 21.0,
"step": 6195
},
{
"epoch": 22.0,
"eval_accuracy": 0.82782874617737,
"eval_loss": 0.5438685417175293,
"eval_runtime": 9.8107,
"eval_samples_per_second": 333.309,
"eval_steps_per_second": 41.689,
"step": 6490
},
{
"best_epoch": 20,
"best_eval_accuracy": 0.828440366972477,
"epoch": 22.0,
"step": 6490
},
{
"epoch": 22.03,
"learning_rate": 0.005457627118644068,
"loss": 0.3002,
"step": 6500
},
{
"epoch": 23.0,
"eval_accuracy": 0.8302752293577982,
"eval_loss": 0.568505048751831,
"eval_runtime": 9.8907,
"eval_samples_per_second": 330.614,
"eval_steps_per_second": 41.352,
"step": 6785
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 23.0,
"step": 6785
},
{
"epoch": 23.73,
"learning_rate": 0.005338983050847458,
"loss": 0.2875,
"step": 7000
},
{
"epoch": 24.0,
"eval_accuracy": 0.8125382262996942,
"eval_loss": 0.6513988375663757,
"eval_runtime": 9.8218,
"eval_samples_per_second": 332.932,
"eval_steps_per_second": 41.642,
"step": 7080
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 24.0,
"step": 7080
},
{
"epoch": 25.0,
"eval_accuracy": 0.8223241590214068,
"eval_loss": 0.6830200552940369,
"eval_runtime": 9.8098,
"eval_samples_per_second": 333.34,
"eval_steps_per_second": 41.693,
"step": 7375
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 25.0,
"step": 7375
},
{
"epoch": 25.42,
"learning_rate": 0.005220338983050848,
"loss": 0.2724,
"step": 7500
},
{
"epoch": 26.0,
"eval_accuracy": 0.8207951070336391,
"eval_loss": 0.6568824052810669,
"eval_runtime": 9.8777,
"eval_samples_per_second": 331.049,
"eval_steps_per_second": 41.406,
"step": 7670
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 26.0,
"step": 7670
},
{
"epoch": 27.0,
"eval_accuracy": 0.8275229357798165,
"eval_loss": 0.6946196556091309,
"eval_runtime": 9.7866,
"eval_samples_per_second": 334.131,
"eval_steps_per_second": 41.792,
"step": 7965
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 27.0,
"step": 7965
},
{
"epoch": 27.12,
"learning_rate": 0.005101694915254237,
"loss": 0.2599,
"step": 8000
},
{
"epoch": 28.0,
"eval_accuracy": 0.8229357798165138,
"eval_loss": 0.7936107516288757,
"eval_runtime": 9.8279,
"eval_samples_per_second": 332.727,
"eval_steps_per_second": 41.616,
"step": 8260
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 28.0,
"step": 8260
},
{
"epoch": 28.81,
"learning_rate": 0.004983050847457627,
"loss": 0.2504,
"step": 8500
},
{
"epoch": 29.0,
"eval_accuracy": 0.8287461773700305,
"eval_loss": 0.6681709885597229,
"eval_runtime": 9.8102,
"eval_samples_per_second": 333.327,
"eval_steps_per_second": 41.691,
"step": 8555
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 29.0,
"step": 8555
},
{
"epoch": 30.0,
"eval_accuracy": 0.8226299694189603,
"eval_loss": 0.7363224029541016,
"eval_runtime": 9.8095,
"eval_samples_per_second": 333.349,
"eval_steps_per_second": 41.694,
"step": 8850
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 30.0,
"step": 8850
},
{
"epoch": 30.51,
"learning_rate": 0.004864406779661017,
"loss": 0.2333,
"step": 9000
},
{
"epoch": 31.0,
"eval_accuracy": 0.8287461773700305,
"eval_loss": 0.6868186593055725,
"eval_runtime": 9.835,
"eval_samples_per_second": 332.487,
"eval_steps_per_second": 41.586,
"step": 9145
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 31.0,
"step": 9145
},
{
"epoch": 32.0,
"eval_accuracy": 0.8299694189602447,
"eval_loss": 0.7315894365310669,
"eval_runtime": 9.8164,
"eval_samples_per_second": 333.117,
"eval_steps_per_second": 41.665,
"step": 9440
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 32.0,
"step": 9440
},
{
"epoch": 32.2,
"learning_rate": 0.0047457627118644066,
"loss": 0.2116,
"step": 9500
},
{
"epoch": 33.0,
"eval_accuracy": 0.8235474006116208,
"eval_loss": 0.7920485734939575,
"eval_runtime": 9.8087,
"eval_samples_per_second": 333.379,
"eval_steps_per_second": 41.698,
"step": 9735
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 33.0,
"step": 9735
},
{
"epoch": 33.9,
"learning_rate": 0.004627118644067797,
"loss": 0.2016,
"step": 10000
},
{
"epoch": 34.0,
"eval_accuracy": 0.8302752293577982,
"eval_loss": 0.8122466802597046,
"eval_runtime": 9.8089,
"eval_samples_per_second": 333.371,
"eval_steps_per_second": 41.697,
"step": 10030
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 34.0,
"step": 10030
},
{
"epoch": 35.0,
"eval_accuracy": 0.8235474006116208,
"eval_loss": 0.8033488988876343,
"eval_runtime": 9.8046,
"eval_samples_per_second": 333.516,
"eval_steps_per_second": 41.715,
"step": 10325
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 35.0,
"step": 10325
},
{
"epoch": 35.59,
"learning_rate": 0.004508474576271186,
"loss": 0.2053,
"step": 10500
},
{
"epoch": 36.0,
"eval_accuracy": 0.8275229357798165,
"eval_loss": 0.8479099273681641,
"eval_runtime": 9.8042,
"eval_samples_per_second": 333.529,
"eval_steps_per_second": 41.717,
"step": 10620
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 36.0,
"step": 10620
},
{
"epoch": 37.0,
"eval_accuracy": 0.826605504587156,
"eval_loss": 0.7674300074577332,
"eval_runtime": 9.8042,
"eval_samples_per_second": 333.532,
"eval_steps_per_second": 41.717,
"step": 10915
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 37.0,
"step": 10915
},
{
"epoch": 37.29,
"learning_rate": 0.004389830508474577,
"loss": 0.1784,
"step": 11000
},
{
"epoch": 38.0,
"eval_accuracy": 0.8302752293577982,
"eval_loss": 0.7334691882133484,
"eval_runtime": 9.8101,
"eval_samples_per_second": 333.331,
"eval_steps_per_second": 41.692,
"step": 11210
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 38.0,
"step": 11210
},
{
"epoch": 38.98,
"learning_rate": 0.004271186440677966,
"loss": 0.1742,
"step": 11500
},
{
"epoch": 39.0,
"eval_accuracy": 0.8244648318042813,
"eval_loss": 0.8439134955406189,
"eval_runtime": 9.8448,
"eval_samples_per_second": 332.155,
"eval_steps_per_second": 41.545,
"step": 11505
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 39.0,
"step": 11505
},
{
"epoch": 40.0,
"eval_accuracy": 0.8269113149847095,
"eval_loss": 0.7226125597953796,
"eval_runtime": 9.7971,
"eval_samples_per_second": 333.772,
"eval_steps_per_second": 41.747,
"step": 11800
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 40.0,
"step": 11800
},
{
"epoch": 40.68,
"learning_rate": 0.0041525423728813555,
"loss": 0.1607,
"step": 12000
},
{
"epoch": 41.0,
"eval_accuracy": 0.8262996941896025,
"eval_loss": 0.783122181892395,
"eval_runtime": 9.8034,
"eval_samples_per_second": 333.559,
"eval_steps_per_second": 41.72,
"step": 12095
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 41.0,
"step": 12095
},
{
"epoch": 42.0,
"eval_accuracy": 0.8204892966360856,
"eval_loss": 0.8774231672286987,
"eval_runtime": 9.8122,
"eval_samples_per_second": 333.26,
"eval_steps_per_second": 41.683,
"step": 12390
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 42.0,
"step": 12390
},
{
"epoch": 42.37,
"learning_rate": 0.004033898305084746,
"loss": 0.1482,
"step": 12500
},
{
"epoch": 43.0,
"eval_accuracy": 0.8201834862385321,
"eval_loss": 0.9140273928642273,
"eval_runtime": 9.8202,
"eval_samples_per_second": 332.988,
"eval_steps_per_second": 41.649,
"step": 12685
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 43.0,
"step": 12685
},
{
"epoch": 44.0,
"eval_accuracy": 0.8293577981651377,
"eval_loss": 1.0441981554031372,
"eval_runtime": 9.8317,
"eval_samples_per_second": 332.596,
"eval_steps_per_second": 41.6,
"step": 12980
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 44.0,
"step": 12980
},
{
"epoch": 44.07,
"learning_rate": 0.003915254237288135,
"loss": 0.1353,
"step": 13000
},
{
"epoch": 45.0,
"eval_accuracy": 0.8204892966360856,
"eval_loss": 0.9284624457359314,
"eval_runtime": 9.8086,
"eval_samples_per_second": 333.381,
"eval_steps_per_second": 41.698,
"step": 13275
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 45.0,
"step": 13275
},
{
"epoch": 45.76,
"learning_rate": 0.0037966101694915256,
"loss": 0.1442,
"step": 13500
},
{
"epoch": 46.0,
"eval_accuracy": 0.8296636085626912,
"eval_loss": 0.9967836141586304,
"eval_runtime": 9.7985,
"eval_samples_per_second": 333.726,
"eval_steps_per_second": 41.741,
"step": 13570
},
{
"best_epoch": 22,
"best_eval_accuracy": 0.8302752293577982,
"epoch": 46.0,
"step": 13570
},
{
"epoch": 47.0,
"eval_accuracy": 0.8333333333333334,
"eval_loss": 0.969611406326294,
"eval_runtime": 9.8112,
"eval_samples_per_second": 333.294,
"eval_steps_per_second": 41.687,
"step": 13865
},
{
"best_epoch": 46,
"best_eval_accuracy": 0.8333333333333334,
"epoch": 47.0,
"step": 13865
},
{
"epoch": 47.46,
"learning_rate": 0.0036779661016949155,
"loss": 0.1308,
"step": 14000
},
{
"epoch": 48.0,
"eval_accuracy": 0.8333333333333334,
"eval_loss": 0.9742096662521362,
"eval_runtime": 9.8104,
"eval_samples_per_second": 333.319,
"eval_steps_per_second": 41.69,
"step": 14160
},
{
"best_epoch": 46,
"best_eval_accuracy": 0.8333333333333334,
"epoch": 48.0,
"step": 14160
},
{
"epoch": 49.0,
"eval_accuracy": 0.8324159021406727,
"eval_loss": 0.9350805282592773,
"eval_runtime": 9.8421,
"eval_samples_per_second": 332.247,
"eval_steps_per_second": 41.556,
"step": 14455
},
{
"best_epoch": 46,
"best_eval_accuracy": 0.8333333333333334,
"epoch": 49.0,
"step": 14455
},
{
"epoch": 49.15,
"learning_rate": 0.003559322033898305,
"loss": 0.12,
"step": 14500
},
{
"epoch": 50.0,
"eval_accuracy": 0.8232415902140673,
"eval_loss": 1.0194205045700073,
"eval_runtime": 9.8031,
"eval_samples_per_second": 333.567,
"eval_steps_per_second": 41.721,
"step": 14750
},
{
"best_epoch": 46,
"best_eval_accuracy": 0.8333333333333334,
"epoch": 50.0,
"step": 14750
},
{
"epoch": 50.85,
"learning_rate": 0.0034406779661016952,
"loss": 0.1151,
"step": 15000
},
{
"epoch": 51.0,
"eval_accuracy": 0.8333333333333334,
"eval_loss": 1.0169928073883057,
"eval_runtime": 9.8124,
"eval_samples_per_second": 333.252,
"eval_steps_per_second": 41.682,
"step": 15045
},
{
"best_epoch": 46,
"best_eval_accuracy": 0.8333333333333334,
"epoch": 51.0,
"step": 15045
},
{
"epoch": 52.0,
"eval_accuracy": 0.8324159021406727,
"eval_loss": 0.9195823073387146,
"eval_runtime": 9.8284,
"eval_samples_per_second": 332.708,
"eval_steps_per_second": 41.614,
"step": 15340
},
{
"best_epoch": 46,
"best_eval_accuracy": 0.8333333333333334,
"epoch": 52.0,
"step": 15340
},
{
"epoch": 52.54,
"learning_rate": 0.003322033898305085,
"loss": 0.1081,
"step": 15500
},
{
"epoch": 53.0,
"eval_accuracy": 0.8290519877675842,
"eval_loss": 0.9286013245582581,
"eval_runtime": 9.8253,
"eval_samples_per_second": 332.815,
"eval_steps_per_second": 41.627,
"step": 15635
},
{
"best_epoch": 46,
"best_eval_accuracy": 0.8333333333333334,
"epoch": 53.0,
"step": 15635
},
{
"epoch": 54.0,
"eval_accuracy": 0.8354740061162079,
"eval_loss": 0.9297749400138855,
"eval_runtime": 9.8216,
"eval_samples_per_second": 332.938,
"eval_steps_per_second": 41.643,
"step": 15930
},
{
"best_epoch": 53,
"best_eval_accuracy": 0.8354740061162079,
"epoch": 54.0,
"step": 15930
}
],
"max_steps": 29500,
"num_train_epochs": 100,
"total_flos": 1.1860177898825626e+17,
"trial_name": null,
"trial_params": null
}