KarelDO's picture
./output/gpt2.CEBaB_confounding.uniform.absa.5-class.seed_43
ba784ae
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.0,
"global_step": 665,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.08,
"learning_rate": 1.9699248120300753e-05,
"loss": 1.1356,
"step": 10
},
{
"epoch": 0.15,
"learning_rate": 1.9398496240601504e-05,
"loss": 1.0821,
"step": 20
},
{
"epoch": 0.23,
"learning_rate": 1.909774436090226e-05,
"loss": 1.0795,
"step": 30
},
{
"epoch": 0.3,
"learning_rate": 1.879699248120301e-05,
"loss": 1.0485,
"step": 40
},
{
"epoch": 0.38,
"learning_rate": 1.849624060150376e-05,
"loss": 1.0465,
"step": 50
},
{
"epoch": 0.45,
"learning_rate": 1.8195488721804512e-05,
"loss": 0.9849,
"step": 60
},
{
"epoch": 0.53,
"learning_rate": 1.7894736842105264e-05,
"loss": 0.9459,
"step": 70
},
{
"epoch": 0.6,
"learning_rate": 1.7593984962406015e-05,
"loss": 0.9631,
"step": 80
},
{
"epoch": 0.68,
"learning_rate": 1.729323308270677e-05,
"loss": 0.9634,
"step": 90
},
{
"epoch": 0.75,
"learning_rate": 1.699248120300752e-05,
"loss": 0.8717,
"step": 100
},
{
"epoch": 0.83,
"learning_rate": 1.6691729323308272e-05,
"loss": 0.8406,
"step": 110
},
{
"epoch": 0.9,
"learning_rate": 1.6390977443609023e-05,
"loss": 0.7537,
"step": 120
},
{
"epoch": 0.98,
"learning_rate": 1.6090225563909775e-05,
"loss": 0.8451,
"step": 130
},
{
"epoch": 1.05,
"learning_rate": 1.578947368421053e-05,
"loss": 0.7302,
"step": 140
},
{
"epoch": 1.13,
"learning_rate": 1.548872180451128e-05,
"loss": 0.7076,
"step": 150
},
{
"epoch": 1.2,
"learning_rate": 1.5187969924812032e-05,
"loss": 0.7225,
"step": 160
},
{
"epoch": 1.28,
"learning_rate": 1.4887218045112783e-05,
"loss": 0.602,
"step": 170
},
{
"epoch": 1.35,
"learning_rate": 1.4586466165413536e-05,
"loss": 0.6337,
"step": 180
},
{
"epoch": 1.43,
"learning_rate": 1.4285714285714287e-05,
"loss": 0.6454,
"step": 190
},
{
"epoch": 1.5,
"learning_rate": 1.3984962406015038e-05,
"loss": 0.5654,
"step": 200
},
{
"epoch": 1.58,
"learning_rate": 1.3684210526315791e-05,
"loss": 0.6477,
"step": 210
},
{
"epoch": 1.65,
"learning_rate": 1.3383458646616543e-05,
"loss": 0.5823,
"step": 220
},
{
"epoch": 1.73,
"learning_rate": 1.3082706766917295e-05,
"loss": 0.5854,
"step": 230
},
{
"epoch": 1.8,
"learning_rate": 1.2781954887218047e-05,
"loss": 0.6702,
"step": 240
},
{
"epoch": 1.88,
"learning_rate": 1.2481203007518798e-05,
"loss": 0.5395,
"step": 250
},
{
"epoch": 1.95,
"learning_rate": 1.2180451127819551e-05,
"loss": 0.5828,
"step": 260
},
{
"epoch": 2.03,
"learning_rate": 1.1879699248120302e-05,
"loss": 0.5858,
"step": 270
},
{
"epoch": 2.11,
"learning_rate": 1.1578947368421053e-05,
"loss": 0.614,
"step": 280
},
{
"epoch": 2.18,
"learning_rate": 1.1278195488721806e-05,
"loss": 0.449,
"step": 290
},
{
"epoch": 2.26,
"learning_rate": 1.0977443609022558e-05,
"loss": 0.4655,
"step": 300
},
{
"epoch": 2.33,
"learning_rate": 1.0676691729323309e-05,
"loss": 0.5508,
"step": 310
},
{
"epoch": 2.41,
"learning_rate": 1.0375939849624062e-05,
"loss": 0.5183,
"step": 320
},
{
"epoch": 2.48,
"learning_rate": 1.0075187969924813e-05,
"loss": 0.4512,
"step": 330
},
{
"epoch": 2.56,
"learning_rate": 9.774436090225564e-06,
"loss": 0.5257,
"step": 340
},
{
"epoch": 2.63,
"learning_rate": 9.473684210526315e-06,
"loss": 0.4331,
"step": 350
},
{
"epoch": 2.71,
"learning_rate": 9.172932330827068e-06,
"loss": 0.4027,
"step": 360
},
{
"epoch": 2.78,
"learning_rate": 8.87218045112782e-06,
"loss": 0.4536,
"step": 370
},
{
"epoch": 2.86,
"learning_rate": 8.571428571428571e-06,
"loss": 0.5036,
"step": 380
},
{
"epoch": 2.93,
"learning_rate": 8.270676691729324e-06,
"loss": 0.4085,
"step": 390
},
{
"epoch": 3.01,
"learning_rate": 7.969924812030075e-06,
"loss": 0.4585,
"step": 400
},
{
"epoch": 3.08,
"learning_rate": 7.669172932330828e-06,
"loss": 0.4596,
"step": 410
},
{
"epoch": 3.16,
"learning_rate": 7.368421052631579e-06,
"loss": 0.437,
"step": 420
},
{
"epoch": 3.23,
"learning_rate": 7.067669172932331e-06,
"loss": 0.385,
"step": 430
},
{
"epoch": 3.31,
"learning_rate": 6.766917293233083e-06,
"loss": 0.4631,
"step": 440
},
{
"epoch": 3.38,
"learning_rate": 6.466165413533835e-06,
"loss": 0.4498,
"step": 450
},
{
"epoch": 3.46,
"learning_rate": 6.165413533834587e-06,
"loss": 0.483,
"step": 460
},
{
"epoch": 3.53,
"learning_rate": 5.864661654135339e-06,
"loss": 0.4251,
"step": 470
},
{
"epoch": 3.61,
"learning_rate": 5.56390977443609e-06,
"loss": 0.3957,
"step": 480
},
{
"epoch": 3.68,
"learning_rate": 5.263157894736842e-06,
"loss": 0.376,
"step": 490
},
{
"epoch": 3.76,
"learning_rate": 4.962406015037594e-06,
"loss": 0.3732,
"step": 500
},
{
"epoch": 3.83,
"learning_rate": 4.661654135338346e-06,
"loss": 0.3615,
"step": 510
},
{
"epoch": 3.91,
"learning_rate": 4.360902255639098e-06,
"loss": 0.433,
"step": 520
},
{
"epoch": 3.98,
"learning_rate": 4.06015037593985e-06,
"loss": 0.3955,
"step": 530
},
{
"epoch": 4.06,
"learning_rate": 3.7593984962406014e-06,
"loss": 0.3769,
"step": 540
},
{
"epoch": 4.14,
"learning_rate": 3.4586466165413535e-06,
"loss": 0.3722,
"step": 550
},
{
"epoch": 4.21,
"learning_rate": 3.157894736842105e-06,
"loss": 0.4248,
"step": 560
},
{
"epoch": 4.29,
"learning_rate": 2.8571428571428573e-06,
"loss": 0.4219,
"step": 570
},
{
"epoch": 4.36,
"learning_rate": 2.556390977443609e-06,
"loss": 0.3706,
"step": 580
},
{
"epoch": 4.44,
"learning_rate": 2.255639097744361e-06,
"loss": 0.3756,
"step": 590
},
{
"epoch": 4.51,
"learning_rate": 1.9548872180451127e-06,
"loss": 0.3779,
"step": 600
},
{
"epoch": 4.59,
"learning_rate": 1.6541353383458648e-06,
"loss": 0.3682,
"step": 610
},
{
"epoch": 4.66,
"learning_rate": 1.3533834586466167e-06,
"loss": 0.4147,
"step": 620
},
{
"epoch": 4.74,
"learning_rate": 1.0526315789473685e-06,
"loss": 0.3722,
"step": 630
},
{
"epoch": 4.81,
"learning_rate": 7.518796992481203e-07,
"loss": 0.3612,
"step": 640
},
{
"epoch": 4.89,
"learning_rate": 4.511278195488722e-07,
"loss": 0.4014,
"step": 650
},
{
"epoch": 4.96,
"learning_rate": 1.5037593984962406e-07,
"loss": 0.3728,
"step": 660
},
{
"epoch": 5.0,
"step": 665,
"total_flos": 1396474464591360.0,
"train_loss": 0.5755259840111984,
"train_runtime": 199.2363,
"train_samples_per_second": 106.557,
"train_steps_per_second": 3.338
}
],
"max_steps": 665,
"num_train_epochs": 5,
"total_flos": 1396474464591360.0,
"trial_name": null,
"trial_params": null
}