celikmus's picture
End of training
e4aea78
{
"best_metric": 0.9863776360625434,
"best_model_checkpoint": "distilbert-base-uncased_finetuned_text_2_disease_cel/checkpoint-501",
"epoch": 3.0,
"global_step": 501,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.06,
"learning_rate": 1.9600798403193614e-05,
"loss": 3.2148,
"step": 10
},
{
"epoch": 0.12,
"learning_rate": 1.920159680638723e-05,
"loss": 3.1884,
"step": 20
},
{
"epoch": 0.18,
"learning_rate": 1.8802395209580838e-05,
"loss": 3.1211,
"step": 30
},
{
"epoch": 0.24,
"learning_rate": 1.8403193612774454e-05,
"loss": 3.0229,
"step": 40
},
{
"epoch": 0.3,
"learning_rate": 1.8003992015968066e-05,
"loss": 2.86,
"step": 50
},
{
"epoch": 0.36,
"learning_rate": 1.7604790419161678e-05,
"loss": 2.7413,
"step": 60
},
{
"epoch": 0.42,
"learning_rate": 1.720558882235529e-05,
"loss": 2.5771,
"step": 70
},
{
"epoch": 0.48,
"learning_rate": 1.6806387225548902e-05,
"loss": 2.4409,
"step": 80
},
{
"epoch": 0.54,
"learning_rate": 1.6407185628742518e-05,
"loss": 2.252,
"step": 90
},
{
"epoch": 0.6,
"learning_rate": 1.600798403193613e-05,
"loss": 2.1139,
"step": 100
},
{
"epoch": 0.66,
"learning_rate": 1.5608782435129742e-05,
"loss": 2.0014,
"step": 110
},
{
"epoch": 0.72,
"learning_rate": 1.5209580838323354e-05,
"loss": 1.8311,
"step": 120
},
{
"epoch": 0.78,
"learning_rate": 1.4810379241516968e-05,
"loss": 1.7216,
"step": 130
},
{
"epoch": 0.84,
"learning_rate": 1.4411177644710582e-05,
"loss": 1.6513,
"step": 140
},
{
"epoch": 0.9,
"learning_rate": 1.4011976047904192e-05,
"loss": 1.4706,
"step": 150
},
{
"epoch": 0.96,
"learning_rate": 1.3612774451097806e-05,
"loss": 1.3868,
"step": 160
},
{
"epoch": 1.0,
"eval_accuracy": 0.8648648648648649,
"eval_f1": 0.8458007872306277,
"eval_loss": 1.1692062616348267,
"eval_precision": 0.8572972892114447,
"eval_recall": 0.8648648648648649,
"eval_runtime": 3.7382,
"eval_samples_per_second": 178.16,
"eval_steps_per_second": 5.618,
"step": 167
},
{
"epoch": 1.02,
"learning_rate": 1.3213572854291418e-05,
"loss": 1.2438,
"step": 170
},
{
"epoch": 1.08,
"learning_rate": 1.2814371257485032e-05,
"loss": 1.1916,
"step": 180
},
{
"epoch": 1.14,
"learning_rate": 1.2415169660678643e-05,
"loss": 1.0778,
"step": 190
},
{
"epoch": 1.2,
"learning_rate": 1.2015968063872256e-05,
"loss": 1.0055,
"step": 200
},
{
"epoch": 1.26,
"learning_rate": 1.161676646706587e-05,
"loss": 1.0151,
"step": 210
},
{
"epoch": 1.32,
"learning_rate": 1.1217564870259482e-05,
"loss": 0.9616,
"step": 220
},
{
"epoch": 1.38,
"learning_rate": 1.0818363273453095e-05,
"loss": 0.9831,
"step": 230
},
{
"epoch": 1.44,
"learning_rate": 1.0419161676646707e-05,
"loss": 0.866,
"step": 240
},
{
"epoch": 1.5,
"learning_rate": 1.001996007984032e-05,
"loss": 0.8548,
"step": 250
},
{
"epoch": 1.56,
"learning_rate": 9.620758483033933e-06,
"loss": 0.7455,
"step": 260
},
{
"epoch": 1.62,
"learning_rate": 9.221556886227547e-06,
"loss": 0.693,
"step": 270
},
{
"epoch": 1.68,
"learning_rate": 8.822355289421159e-06,
"loss": 0.6751,
"step": 280
},
{
"epoch": 1.74,
"learning_rate": 8.42315369261477e-06,
"loss": 0.6852,
"step": 290
},
{
"epoch": 1.8,
"learning_rate": 8.023952095808385e-06,
"loss": 0.5647,
"step": 300
},
{
"epoch": 1.86,
"learning_rate": 7.624750499001997e-06,
"loss": 0.5876,
"step": 310
},
{
"epoch": 1.92,
"learning_rate": 7.225548902195609e-06,
"loss": 0.5605,
"step": 320
},
{
"epoch": 1.98,
"learning_rate": 6.826347305389223e-06,
"loss": 0.5345,
"step": 330
},
{
"epoch": 2.0,
"eval_accuracy": 0.9744744744744744,
"eval_f1": 0.973584165402074,
"eval_loss": 0.42139312624931335,
"eval_precision": 0.976877941401268,
"eval_recall": 0.9744744744744744,
"eval_runtime": 3.9585,
"eval_samples_per_second": 168.247,
"eval_steps_per_second": 5.305,
"step": 334
},
{
"epoch": 2.04,
"learning_rate": 6.427145708582835e-06,
"loss": 0.5248,
"step": 340
},
{
"epoch": 2.1,
"learning_rate": 6.027944111776448e-06,
"loss": 0.4671,
"step": 350
},
{
"epoch": 2.16,
"learning_rate": 5.62874251497006e-06,
"loss": 0.4804,
"step": 360
},
{
"epoch": 2.22,
"learning_rate": 5.229540918163674e-06,
"loss": 0.4354,
"step": 370
},
{
"epoch": 2.28,
"learning_rate": 4.830339321357286e-06,
"loss": 0.4218,
"step": 380
},
{
"epoch": 2.34,
"learning_rate": 4.431137724550898e-06,
"loss": 0.4162,
"step": 390
},
{
"epoch": 2.4,
"learning_rate": 4.031936127744511e-06,
"loss": 0.4194,
"step": 400
},
{
"epoch": 2.46,
"learning_rate": 3.6327345309381242e-06,
"loss": 0.3967,
"step": 410
},
{
"epoch": 2.51,
"learning_rate": 3.2335329341317368e-06,
"loss": 0.3876,
"step": 420
},
{
"epoch": 2.57,
"learning_rate": 2.8343313373253494e-06,
"loss": 0.3711,
"step": 430
},
{
"epoch": 2.63,
"learning_rate": 2.4351297405189623e-06,
"loss": 0.4061,
"step": 440
},
{
"epoch": 2.69,
"learning_rate": 2.035928143712575e-06,
"loss": 0.3654,
"step": 450
},
{
"epoch": 2.75,
"learning_rate": 1.6367265469061877e-06,
"loss": 0.379,
"step": 460
},
{
"epoch": 2.81,
"learning_rate": 1.2375249500998005e-06,
"loss": 0.3622,
"step": 470
},
{
"epoch": 2.87,
"learning_rate": 8.383233532934132e-07,
"loss": 0.3553,
"step": 480
},
{
"epoch": 2.93,
"learning_rate": 4.39121756487026e-07,
"loss": 0.3665,
"step": 490
},
{
"epoch": 2.99,
"learning_rate": 3.992015968063872e-08,
"loss": 0.3472,
"step": 500
},
{
"epoch": 3.0,
"eval_accuracy": 0.9864864864864865,
"eval_f1": 0.9863776360625434,
"eval_loss": 0.27318987250328064,
"eval_precision": 0.987865864189957,
"eval_recall": 0.9864864864864865,
"eval_runtime": 3.7863,
"eval_samples_per_second": 175.899,
"eval_steps_per_second": 5.546,
"step": 501
},
{
"epoch": 3.0,
"step": 501,
"total_flos": 2118227382190080.0,
"train_loss": 1.1732605536302882,
"train_runtime": 338.4848,
"train_samples_per_second": 47.222,
"train_steps_per_second": 1.48
}
],
"max_steps": 501,
"num_train_epochs": 3,
"total_flos": 2118227382190080.0,
"trial_name": null,
"trial_params": null
}