akkky02's picture
Upload folder using huggingface_hub
c2ce683 verified
raw
history blame
13.4 kB
{
"best_metric": 0.6847230792045593,
"best_model_checkpoint": "../../experiments_checkpoints/MAdAiLab/FacebookAI/roberta_base_amazon/checkpoint-550",
"epoch": 3.0,
"eval_steps": 50,
"global_step": 570,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05,
"grad_norm": 1.8449782133102417,
"learning_rate": 1.9649122807017544e-05,
"loss": 3.1004,
"step": 10
},
{
"epoch": 0.11,
"grad_norm": 3.084895133972168,
"learning_rate": 1.929824561403509e-05,
"loss": 3.0595,
"step": 20
},
{
"epoch": 0.16,
"grad_norm": 4.537363529205322,
"learning_rate": 1.894736842105263e-05,
"loss": 2.802,
"step": 30
},
{
"epoch": 0.21,
"grad_norm": 5.116600036621094,
"learning_rate": 1.8596491228070176e-05,
"loss": 2.3885,
"step": 40
},
{
"epoch": 0.26,
"grad_norm": 4.867352485656738,
"learning_rate": 1.824561403508772e-05,
"loss": 2.0556,
"step": 50
},
{
"epoch": 0.26,
"eval_accuracy": 0.616600790513834,
"eval_f1_macro": 0.46316309278720524,
"eval_f1_micro": 0.616600790513834,
"eval_loss": 1.7788082361221313,
"eval_runtime": 1.4418,
"eval_samples_per_second": 1052.82,
"eval_steps_per_second": 16.645,
"step": 50
},
{
"epoch": 0.32,
"grad_norm": 6.37776517868042,
"learning_rate": 1.7894736842105264e-05,
"loss": 1.7967,
"step": 60
},
{
"epoch": 0.37,
"grad_norm": 8.01982593536377,
"learning_rate": 1.754385964912281e-05,
"loss": 1.5339,
"step": 70
},
{
"epoch": 0.42,
"grad_norm": 6.54938268661499,
"learning_rate": 1.719298245614035e-05,
"loss": 1.398,
"step": 80
},
{
"epoch": 0.47,
"grad_norm": 5.9745659828186035,
"learning_rate": 1.6842105263157896e-05,
"loss": 1.337,
"step": 90
},
{
"epoch": 0.53,
"grad_norm": 7.999369144439697,
"learning_rate": 1.649122807017544e-05,
"loss": 1.2395,
"step": 100
},
{
"epoch": 0.53,
"eval_accuracy": 0.7140974967061924,
"eval_f1_macro": 0.6033304658823342,
"eval_f1_micro": 0.7140974967061924,
"eval_loss": 1.1504093408584595,
"eval_runtime": 1.4443,
"eval_samples_per_second": 1051.003,
"eval_steps_per_second": 16.617,
"step": 100
},
{
"epoch": 0.58,
"grad_norm": 5.7676262855529785,
"learning_rate": 1.6140350877192984e-05,
"loss": 1.1179,
"step": 110
},
{
"epoch": 0.63,
"grad_norm": 7.363275051116943,
"learning_rate": 1.578947368421053e-05,
"loss": 1.1031,
"step": 120
},
{
"epoch": 0.68,
"grad_norm": 9.764667510986328,
"learning_rate": 1.543859649122807e-05,
"loss": 1.1,
"step": 130
},
{
"epoch": 0.74,
"grad_norm": 7.389791965484619,
"learning_rate": 1.5087719298245615e-05,
"loss": 1.0124,
"step": 140
},
{
"epoch": 0.79,
"grad_norm": 9.022140502929688,
"learning_rate": 1.4736842105263159e-05,
"loss": 0.9724,
"step": 150
},
{
"epoch": 0.79,
"eval_accuracy": 0.738471673254282,
"eval_f1_macro": 0.6449968622620541,
"eval_f1_micro": 0.738471673254282,
"eval_loss": 0.964474618434906,
"eval_runtime": 1.4518,
"eval_samples_per_second": 1045.572,
"eval_steps_per_second": 16.531,
"step": 150
},
{
"epoch": 0.84,
"grad_norm": 7.70412540435791,
"learning_rate": 1.4385964912280704e-05,
"loss": 0.9852,
"step": 160
},
{
"epoch": 0.89,
"grad_norm": 9.079597473144531,
"learning_rate": 1.4035087719298246e-05,
"loss": 0.9693,
"step": 170
},
{
"epoch": 0.95,
"grad_norm": 10.334077835083008,
"learning_rate": 1.3684210526315791e-05,
"loss": 0.9577,
"step": 180
},
{
"epoch": 1.0,
"grad_norm": 9.137624740600586,
"learning_rate": 1.3333333333333333e-05,
"loss": 0.9565,
"step": 190
},
{
"epoch": 1.05,
"grad_norm": 8.054055213928223,
"learning_rate": 1.2982456140350879e-05,
"loss": 0.8878,
"step": 200
},
{
"epoch": 1.05,
"eval_accuracy": 0.7733860342555995,
"eval_f1_macro": 0.7001366407404722,
"eval_f1_micro": 0.7733860342555995,
"eval_loss": 0.870373010635376,
"eval_runtime": 1.4548,
"eval_samples_per_second": 1043.435,
"eval_steps_per_second": 16.497,
"step": 200
},
{
"epoch": 1.11,
"grad_norm": 8.359734535217285,
"learning_rate": 1.263157894736842e-05,
"loss": 0.8157,
"step": 210
},
{
"epoch": 1.16,
"grad_norm": 11.497844696044922,
"learning_rate": 1.2280701754385966e-05,
"loss": 0.8643,
"step": 220
},
{
"epoch": 1.21,
"grad_norm": 10.738656997680664,
"learning_rate": 1.192982456140351e-05,
"loss": 0.8478,
"step": 230
},
{
"epoch": 1.26,
"grad_norm": 7.716694355010986,
"learning_rate": 1.1578947368421053e-05,
"loss": 0.7587,
"step": 240
},
{
"epoch": 1.32,
"grad_norm": 10.482646942138672,
"learning_rate": 1.1228070175438597e-05,
"loss": 0.7261,
"step": 250
},
{
"epoch": 1.32,
"eval_accuracy": 0.7766798418972332,
"eval_f1_macro": 0.7188389846095605,
"eval_f1_micro": 0.7766798418972332,
"eval_loss": 0.815912127494812,
"eval_runtime": 1.4582,
"eval_samples_per_second": 1041.022,
"eval_steps_per_second": 16.459,
"step": 250
},
{
"epoch": 1.37,
"grad_norm": 8.698047637939453,
"learning_rate": 1.0877192982456142e-05,
"loss": 0.7495,
"step": 260
},
{
"epoch": 1.42,
"grad_norm": 7.04860782623291,
"learning_rate": 1.0526315789473684e-05,
"loss": 0.7562,
"step": 270
},
{
"epoch": 1.47,
"grad_norm": 16.800617218017578,
"learning_rate": 1.017543859649123e-05,
"loss": 0.7407,
"step": 280
},
{
"epoch": 1.53,
"grad_norm": 11.83535385131836,
"learning_rate": 9.824561403508772e-06,
"loss": 0.7224,
"step": 290
},
{
"epoch": 1.58,
"grad_norm": 8.78000545501709,
"learning_rate": 9.473684210526315e-06,
"loss": 0.8083,
"step": 300
},
{
"epoch": 1.58,
"eval_accuracy": 0.7878787878787878,
"eval_f1_macro": 0.7240527586663765,
"eval_f1_micro": 0.7878787878787878,
"eval_loss": 0.7717685699462891,
"eval_runtime": 1.4583,
"eval_samples_per_second": 1040.974,
"eval_steps_per_second": 16.458,
"step": 300
},
{
"epoch": 1.63,
"grad_norm": 8.961960792541504,
"learning_rate": 9.12280701754386e-06,
"loss": 0.7576,
"step": 310
},
{
"epoch": 1.68,
"grad_norm": 9.152416229248047,
"learning_rate": 8.771929824561405e-06,
"loss": 0.7021,
"step": 320
},
{
"epoch": 1.74,
"grad_norm": 12.08969783782959,
"learning_rate": 8.421052631578948e-06,
"loss": 0.7218,
"step": 330
},
{
"epoch": 1.79,
"grad_norm": 11.890509605407715,
"learning_rate": 8.070175438596492e-06,
"loss": 0.806,
"step": 340
},
{
"epoch": 1.84,
"grad_norm": 13.19563102722168,
"learning_rate": 7.719298245614036e-06,
"loss": 0.7209,
"step": 350
},
{
"epoch": 1.84,
"eval_accuracy": 0.7997364953886693,
"eval_f1_macro": 0.7414355218281033,
"eval_f1_micro": 0.7997364953886693,
"eval_loss": 0.7306675910949707,
"eval_runtime": 1.4597,
"eval_samples_per_second": 1039.954,
"eval_steps_per_second": 16.442,
"step": 350
},
{
"epoch": 1.89,
"grad_norm": 10.341647148132324,
"learning_rate": 7.368421052631579e-06,
"loss": 0.6538,
"step": 360
},
{
"epoch": 1.95,
"grad_norm": 10.095640182495117,
"learning_rate": 7.017543859649123e-06,
"loss": 0.7268,
"step": 370
},
{
"epoch": 2.0,
"grad_norm": 14.569330215454102,
"learning_rate": 6.666666666666667e-06,
"loss": 0.7441,
"step": 380
},
{
"epoch": 2.05,
"grad_norm": 8.13227653503418,
"learning_rate": 6.31578947368421e-06,
"loss": 0.6634,
"step": 390
},
{
"epoch": 2.11,
"grad_norm": 8.250567436218262,
"learning_rate": 5.964912280701755e-06,
"loss": 0.6535,
"step": 400
},
{
"epoch": 2.11,
"eval_accuracy": 0.8043478260869565,
"eval_f1_macro": 0.7452177798047408,
"eval_f1_micro": 0.8043478260869565,
"eval_loss": 0.7204875349998474,
"eval_runtime": 1.4623,
"eval_samples_per_second": 1038.057,
"eval_steps_per_second": 16.412,
"step": 400
},
{
"epoch": 2.16,
"grad_norm": 10.287467002868652,
"learning_rate": 5.6140350877192985e-06,
"loss": 0.569,
"step": 410
},
{
"epoch": 2.21,
"grad_norm": 8.486634254455566,
"learning_rate": 5.263157894736842e-06,
"loss": 0.6313,
"step": 420
},
{
"epoch": 2.26,
"grad_norm": 8.879149436950684,
"learning_rate": 4.912280701754386e-06,
"loss": 0.5844,
"step": 430
},
{
"epoch": 2.32,
"grad_norm": 10.877876281738281,
"learning_rate": 4.56140350877193e-06,
"loss": 0.64,
"step": 440
},
{
"epoch": 2.37,
"grad_norm": 7.0523834228515625,
"learning_rate": 4.210526315789474e-06,
"loss": 0.6283,
"step": 450
},
{
"epoch": 2.37,
"eval_accuracy": 0.8089591567852438,
"eval_f1_macro": 0.7498355070996475,
"eval_f1_micro": 0.8089591567852438,
"eval_loss": 0.7047255635261536,
"eval_runtime": 1.4632,
"eval_samples_per_second": 1037.454,
"eval_steps_per_second": 16.402,
"step": 450
},
{
"epoch": 2.42,
"grad_norm": 8.621397972106934,
"learning_rate": 3.859649122807018e-06,
"loss": 0.5349,
"step": 460
},
{
"epoch": 2.47,
"grad_norm": 7.53057861328125,
"learning_rate": 3.5087719298245615e-06,
"loss": 0.6345,
"step": 470
},
{
"epoch": 2.53,
"grad_norm": 12.083460807800293,
"learning_rate": 3.157894736842105e-06,
"loss": 0.6337,
"step": 480
},
{
"epoch": 2.58,
"grad_norm": 10.678044319152832,
"learning_rate": 2.8070175438596493e-06,
"loss": 0.5657,
"step": 490
},
{
"epoch": 2.63,
"grad_norm": 8.628580093383789,
"learning_rate": 2.456140350877193e-06,
"loss": 0.5214,
"step": 500
},
{
"epoch": 2.63,
"eval_accuracy": 0.810935441370224,
"eval_f1_macro": 0.7541066085678262,
"eval_f1_micro": 0.810935441370224,
"eval_loss": 0.687921404838562,
"eval_runtime": 1.4612,
"eval_samples_per_second": 1038.859,
"eval_steps_per_second": 16.425,
"step": 500
},
{
"epoch": 2.68,
"grad_norm": 11.350371360778809,
"learning_rate": 2.105263157894737e-06,
"loss": 0.5632,
"step": 510
},
{
"epoch": 2.74,
"grad_norm": 10.923992156982422,
"learning_rate": 1.7543859649122807e-06,
"loss": 0.602,
"step": 520
},
{
"epoch": 2.79,
"grad_norm": 11.192131996154785,
"learning_rate": 1.4035087719298246e-06,
"loss": 0.6038,
"step": 530
},
{
"epoch": 2.84,
"grad_norm": 9.871031761169434,
"learning_rate": 1.0526315789473685e-06,
"loss": 0.5776,
"step": 540
},
{
"epoch": 2.89,
"grad_norm": 9.84094524383545,
"learning_rate": 7.017543859649123e-07,
"loss": 0.5808,
"step": 550
},
{
"epoch": 2.89,
"eval_accuracy": 0.80566534914361,
"eval_f1_macro": 0.7451626163175262,
"eval_f1_micro": 0.80566534914361,
"eval_loss": 0.6847230792045593,
"eval_runtime": 1.4607,
"eval_samples_per_second": 1039.224,
"eval_steps_per_second": 16.43,
"step": 550
},
{
"epoch": 2.95,
"grad_norm": 8.289957046508789,
"learning_rate": 3.5087719298245616e-07,
"loss": 0.6075,
"step": 560
},
{
"epoch": 3.0,
"grad_norm": 13.524730682373047,
"learning_rate": 0.0,
"loss": 0.596,
"step": 570
},
{
"epoch": 3.0,
"step": 570,
"total_flos": 2400025338445824.0,
"train_loss": 0.9787228534096166,
"train_runtime": 143.678,
"train_samples_per_second": 253.567,
"train_steps_per_second": 3.967
}
],
"logging_steps": 10,
"max_steps": 570,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 50,
"total_flos": 2400025338445824.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}