enoriega's picture
Finished training
d38124b
{
"best_metric": 0.6465878115264797,
"best_model_checkpoint": "/xdisk/msurdeanu/enoriega/kw_pubmed_experiments/kw_pubmed_vanilla_document_10000_0.0003/checkpoint-100",
"epoch": 1.3559903108724085,
"global_step": 350,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 0.00029998499999999995,
"loss": 2.5567,
"step": 5
},
{
"epoch": 0.04,
"learning_rate": 0.00029997,
"loss": 1.9715,
"step": 10
},
{
"epoch": 0.06,
"learning_rate": 0.00029995499999999997,
"loss": 1.8692,
"step": 15
},
{
"epoch": 0.08,
"learning_rate": 0.00029994,
"loss": 1.8491,
"step": 20
},
{
"epoch": 0.1,
"learning_rate": 0.000299925,
"loss": 1.8861,
"step": 25
},
{
"epoch": 0.1,
"eval_accuracy": 0.6368282710280374,
"eval_loss": 1.842035174369812,
"eval_runtime": 60.5692,
"eval_samples_per_second": 165.101,
"eval_steps_per_second": 10.319,
"step": 25
},
{
"epoch": 0.12,
"learning_rate": 0.00029991299999999996,
"loss": 1.8289,
"step": 30
},
{
"epoch": 0.14,
"learning_rate": 0.000299898,
"loss": 1.813,
"step": 35
},
{
"epoch": 0.15,
"learning_rate": 0.000299883,
"loss": 1.8096,
"step": 40
},
{
"epoch": 0.17,
"learning_rate": 0.00029986799999999996,
"loss": 1.8019,
"step": 45
},
{
"epoch": 0.19,
"learning_rate": 0.000299853,
"loss": 1.7913,
"step": 50
},
{
"epoch": 0.19,
"eval_accuracy": 0.6451718892607241,
"eval_loss": 1.7883105278015137,
"eval_runtime": 60.4628,
"eval_samples_per_second": 165.391,
"eval_steps_per_second": 10.337,
"step": 50
},
{
"epoch": 0.21,
"learning_rate": 0.00029983799999999997,
"loss": 1.7907,
"step": 55
},
{
"epoch": 0.23,
"learning_rate": 0.000299823,
"loss": 1.7853,
"step": 60
},
{
"epoch": 0.25,
"learning_rate": 0.000299808,
"loss": 1.7915,
"step": 65
},
{
"epoch": 0.27,
"learning_rate": 0.00029979299999999997,
"loss": 1.7815,
"step": 70
},
{
"epoch": 0.29,
"learning_rate": 0.000299778,
"loss": 1.7876,
"step": 75
},
{
"epoch": 0.29,
"eval_accuracy": 0.6446729540614542,
"eval_loss": 1.7794435024261475,
"eval_runtime": 60.2635,
"eval_samples_per_second": 165.938,
"eval_steps_per_second": 10.371,
"step": 75
},
{
"epoch": 0.31,
"learning_rate": 0.000299763,
"loss": 1.7707,
"step": 80
},
{
"epoch": 0.33,
"learning_rate": 0.00029974799999999996,
"loss": 1.7773,
"step": 85
},
{
"epoch": 0.35,
"learning_rate": 0.000299733,
"loss": 1.7759,
"step": 90
},
{
"epoch": 0.37,
"learning_rate": 0.000299718,
"loss": 1.7662,
"step": 95
},
{
"epoch": 0.39,
"learning_rate": 0.00029970299999999996,
"loss": 1.7729,
"step": 100
},
{
"epoch": 0.39,
"eval_accuracy": 0.6465878115264797,
"eval_loss": 1.7647390365600586,
"eval_runtime": 60.2769,
"eval_samples_per_second": 165.901,
"eval_steps_per_second": 10.369,
"step": 100
},
{
"epoch": 0.41,
"learning_rate": 0.00029968799999999994,
"loss": 1.7748,
"step": 105
},
{
"epoch": 0.43,
"learning_rate": 0.000299673,
"loss": 1.7706,
"step": 110
},
{
"epoch": 0.44,
"learning_rate": 0.00029965799999999996,
"loss": 1.785,
"step": 115
},
{
"epoch": 0.46,
"learning_rate": 0.000299643,
"loss": 1.778,
"step": 120
},
{
"epoch": 0.48,
"learning_rate": 0.00029962799999999997,
"loss": 1.7919,
"step": 125
},
{
"epoch": 0.48,
"eval_accuracy": 0.6427293636595962,
"eval_loss": 1.7991459369659424,
"eval_runtime": 60.2605,
"eval_samples_per_second": 165.946,
"eval_steps_per_second": 10.372,
"step": 125
},
{
"epoch": 0.5,
"learning_rate": 0.00029961299999999995,
"loss": 1.8059,
"step": 130
},
{
"epoch": 0.52,
"learning_rate": 0.000299598,
"loss": 1.7882,
"step": 135
},
{
"epoch": 0.54,
"learning_rate": 0.00029958299999999997,
"loss": 2.0033,
"step": 140
},
{
"epoch": 0.56,
"learning_rate": 0.00029956799999999995,
"loss": 1.9014,
"step": 145
},
{
"epoch": 0.58,
"learning_rate": 0.000299553,
"loss": 1.858,
"step": 150
},
{
"epoch": 0.58,
"eval_accuracy": 0.6386691654294546,
"eval_loss": 1.8227039575576782,
"eval_runtime": 60.2921,
"eval_samples_per_second": 165.859,
"eval_steps_per_second": 10.366,
"step": 150
},
{
"epoch": 0.6,
"learning_rate": 0.00029953799999999996,
"loss": 1.8575,
"step": 155
},
{
"epoch": 0.62,
"learning_rate": 0.000299523,
"loss": 1.8191,
"step": 160
},
{
"epoch": 0.64,
"learning_rate": 0.00029951099999999997,
"loss": 1.8317,
"step": 165
},
{
"epoch": 0.66,
"learning_rate": 0.00029949599999999995,
"loss": 1.8389,
"step": 170
},
{
"epoch": 0.68,
"learning_rate": 0.000299481,
"loss": 1.8151,
"step": 175
},
{
"epoch": 0.68,
"eval_accuracy": 0.632689569566646,
"eval_loss": 1.8751027584075928,
"eval_runtime": 60.4671,
"eval_samples_per_second": 165.379,
"eval_steps_per_second": 10.336,
"step": 175
},
{
"epoch": 0.7,
"learning_rate": 0.00029946599999999997,
"loss": 1.8842,
"step": 180
},
{
"epoch": 0.72,
"learning_rate": 0.00029945099999999995,
"loss": 1.8344,
"step": 185
},
{
"epoch": 0.74,
"learning_rate": 0.000299436,
"loss": 1.8594,
"step": 190
},
{
"epoch": 0.75,
"learning_rate": 0.00029942099999999996,
"loss": 1.9278,
"step": 195
},
{
"epoch": 0.77,
"learning_rate": 0.000299406,
"loss": 1.8539,
"step": 200
},
{
"epoch": 0.77,
"eval_accuracy": 0.6372984484332218,
"eval_loss": 1.8315496444702148,
"eval_runtime": 60.2374,
"eval_samples_per_second": 166.01,
"eval_steps_per_second": 10.376,
"step": 200
},
{
"epoch": 0.79,
"learning_rate": 0.000299391,
"loss": 1.8632,
"step": 205
},
{
"epoch": 0.81,
"learning_rate": 0.00029937599999999996,
"loss": 1.907,
"step": 210
},
{
"epoch": 0.83,
"learning_rate": 0.000299361,
"loss": 1.8705,
"step": 215
},
{
"epoch": 0.85,
"learning_rate": 0.000299346,
"loss": 1.8825,
"step": 220
},
{
"epoch": 0.87,
"learning_rate": 0.000299331,
"loss": 1.8623,
"step": 225
},
{
"epoch": 0.87,
"eval_accuracy": 0.6348281107392759,
"eval_loss": 1.846932053565979,
"eval_runtime": 60.3517,
"eval_samples_per_second": 165.695,
"eval_steps_per_second": 10.356,
"step": 225
},
{
"epoch": 0.89,
"learning_rate": 0.000299316,
"loss": 1.8923,
"step": 230
},
{
"epoch": 0.91,
"learning_rate": 0.00029930099999999997,
"loss": 1.852,
"step": 235
},
{
"epoch": 0.93,
"learning_rate": 0.00029928599999999995,
"loss": 1.8754,
"step": 240
},
{
"epoch": 0.95,
"learning_rate": 0.00029927099999999993,
"loss": 1.9014,
"step": 245
},
{
"epoch": 0.97,
"learning_rate": 0.00029925599999999997,
"loss": 1.8992,
"step": 250
},
{
"epoch": 0.97,
"eval_accuracy": 0.6353137321715426,
"eval_loss": 1.846245288848877,
"eval_runtime": 60.4965,
"eval_samples_per_second": 165.299,
"eval_steps_per_second": 10.331,
"step": 250
},
{
"epoch": 0.99,
"learning_rate": 0.00029924099999999995,
"loss": 1.8759,
"step": 255
},
{
"epoch": 1.01,
"learning_rate": 0.000299226,
"loss": 2.0852,
"step": 260
},
{
"epoch": 1.03,
"learning_rate": 0.00029921099999999996,
"loss": 1.8663,
"step": 265
},
{
"epoch": 1.05,
"learning_rate": 0.00029919599999999995,
"loss": 1.8555,
"step": 270
},
{
"epoch": 1.07,
"learning_rate": 0.000299181,
"loss": 1.8717,
"step": 275
},
{
"epoch": 1.07,
"eval_accuracy": 0.6298189252336449,
"eval_loss": 1.8705145120620728,
"eval_runtime": 60.3399,
"eval_samples_per_second": 165.728,
"eval_steps_per_second": 10.358,
"step": 275
},
{
"epoch": 1.09,
"learning_rate": 0.00029916599999999996,
"loss": 1.9226,
"step": 280
},
{
"epoch": 1.1,
"learning_rate": 0.000299151,
"loss": 2.0094,
"step": 285
},
{
"epoch": 1.12,
"learning_rate": 0.000299136,
"loss": 1.9307,
"step": 290
},
{
"epoch": 1.14,
"learning_rate": 0.00029912099999999996,
"loss": 1.9055,
"step": 295
},
{
"epoch": 1.16,
"learning_rate": 0.000299106,
"loss": 1.9057,
"step": 300
},
{
"epoch": 1.16,
"eval_accuracy": 0.6247444509345794,
"eval_loss": 1.913194179534912,
"eval_runtime": 60.3218,
"eval_samples_per_second": 165.778,
"eval_steps_per_second": 10.361,
"step": 300
},
{
"epoch": 1.18,
"learning_rate": 0.00029909099999999997,
"loss": 1.8821,
"step": 305
},
{
"epoch": 1.2,
"learning_rate": 0.000299076,
"loss": 1.8635,
"step": 310
},
{
"epoch": 1.22,
"learning_rate": 0.000299061,
"loss": 1.8655,
"step": 315
},
{
"epoch": 1.24,
"learning_rate": 0.00029904599999999997,
"loss": 1.8642,
"step": 320
},
{
"epoch": 1.26,
"learning_rate": 0.000299031,
"loss": 1.8637,
"step": 325
},
{
"epoch": 1.26,
"eval_accuracy": 0.6270322235202492,
"eval_loss": 1.900992751121521,
"eval_runtime": 60.2836,
"eval_samples_per_second": 165.883,
"eval_steps_per_second": 10.368,
"step": 325
},
{
"epoch": 1.28,
"learning_rate": 0.000299016,
"loss": 1.9827,
"step": 330
},
{
"epoch": 1.3,
"learning_rate": 0.00029900099999999997,
"loss": 1.95,
"step": 335
},
{
"epoch": 1.32,
"learning_rate": 0.00029898599999999995,
"loss": 1.9358,
"step": 340
},
{
"epoch": 1.34,
"learning_rate": 0.000298971,
"loss": 1.9403,
"step": 345
},
{
"epoch": 1.36,
"learning_rate": 0.00029895599999999996,
"loss": 1.947,
"step": 350
},
{
"epoch": 1.36,
"eval_accuracy": 0.6236979166666666,
"eval_loss": 1.903308629989624,
"eval_runtime": 60.3153,
"eval_samples_per_second": 165.796,
"eval_steps_per_second": 10.362,
"step": 350
},
{
"epoch": 1.36,
"step": 350,
"total_flos": 1.899141968469924e+17,
"train_loss": 1.8697899763924735,
"train_runtime": 46126.5574,
"train_samples_per_second": 17343.588,
"train_steps_per_second": 2.168
},
{
"epoch": 1.36,
"eval_accuracy": 0.6470223174085522,
"eval_loss": 1.767507791519165,
"eval_runtime": 60.4981,
"eval_samples_per_second": 165.295,
"eval_steps_per_second": 10.331,
"step": 350
}
],
"max_steps": 100000,
"num_train_epochs": 388,
"total_flos": 1.899141968469924e+17,
"trial_name": null,
"trial_params": null
}