vit-base-gpu / trainer_state.json
jerlawson13's picture
Training in progress, step 100
206d08a verified
raw
history blame contribute delete
No virus
6.73 kB
{
"best_metric": 0.12027937173843384,
"best_model_checkpoint": "/home/projects/Project - Fundus Photo Glaucoma Detection (AI)//model_results/vit-base-gpu/checkpoint-200",
"epoch": 5.0,
"eval_steps": 100,
"global_step": 285,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.17543859649122806,
"grad_norm": 0.9387953877449036,
"learning_rate": 9.649122807017545e-06,
"loss": 0.6299,
"step": 10
},
{
"epoch": 0.3508771929824561,
"grad_norm": 1.4054632186889648,
"learning_rate": 9.298245614035088e-06,
"loss": 0.5138,
"step": 20
},
{
"epoch": 0.5263157894736842,
"grad_norm": 1.2556184530258179,
"learning_rate": 8.947368421052632e-06,
"loss": 0.4223,
"step": 30
},
{
"epoch": 0.7017543859649122,
"grad_norm": 1.2750768661499023,
"learning_rate": 8.596491228070176e-06,
"loss": 0.3304,
"step": 40
},
{
"epoch": 0.8771929824561403,
"grad_norm": 1.3711668252944946,
"learning_rate": 8.24561403508772e-06,
"loss": 0.293,
"step": 50
},
{
"epoch": 1.0526315789473684,
"grad_norm": 0.8322893977165222,
"learning_rate": 7.894736842105265e-06,
"loss": 0.2091,
"step": 60
},
{
"epoch": 1.2280701754385965,
"grad_norm": 0.8177331686019897,
"learning_rate": 7.5438596491228074e-06,
"loss": 0.1938,
"step": 70
},
{
"epoch": 1.4035087719298245,
"grad_norm": 1.0095038414001465,
"learning_rate": 7.192982456140352e-06,
"loss": 0.1586,
"step": 80
},
{
"epoch": 1.5789473684210527,
"grad_norm": 1.5976330041885376,
"learning_rate": 6.842105263157896e-06,
"loss": 0.134,
"step": 90
},
{
"epoch": 1.7543859649122808,
"grad_norm": 3.159658908843994,
"learning_rate": 6.491228070175439e-06,
"loss": 0.1313,
"step": 100
},
{
"epoch": 1.7543859649122808,
"eval_accuracy": 0.960352422907489,
"eval_confusion_matrix": [
[
57,
9
],
[
0,
161
]
],
"eval_loss": 0.18016090989112854,
"eval_runtime": 25.5277,
"eval_samples_per_second": 8.892,
"eval_steps_per_second": 0.313,
"step": 100
},
{
"epoch": 1.9298245614035088,
"grad_norm": 4.4438323974609375,
"learning_rate": 6.140350877192983e-06,
"loss": 0.1357,
"step": 110
},
{
"epoch": 2.1052631578947367,
"grad_norm": 0.554610013961792,
"learning_rate": 5.789473684210527e-06,
"loss": 0.1229,
"step": 120
},
{
"epoch": 2.280701754385965,
"grad_norm": 0.2898980677127838,
"learning_rate": 5.438596491228071e-06,
"loss": 0.1219,
"step": 130
},
{
"epoch": 2.456140350877193,
"grad_norm": 0.43265607953071594,
"learning_rate": 5.087719298245615e-06,
"loss": 0.0867,
"step": 140
},
{
"epoch": 2.6315789473684212,
"grad_norm": 0.32516348361968994,
"learning_rate": 4.736842105263158e-06,
"loss": 0.0936,
"step": 150
},
{
"epoch": 2.807017543859649,
"grad_norm": 0.4287051558494568,
"learning_rate": 4.385964912280702e-06,
"loss": 0.0874,
"step": 160
},
{
"epoch": 2.982456140350877,
"grad_norm": 3.535736560821533,
"learning_rate": 4.035087719298246e-06,
"loss": 0.0887,
"step": 170
},
{
"epoch": 3.1578947368421053,
"grad_norm": 0.3152014911174774,
"learning_rate": 3.6842105263157896e-06,
"loss": 0.0949,
"step": 180
},
{
"epoch": 3.3333333333333335,
"grad_norm": 0.28197869658470154,
"learning_rate": 3.3333333333333333e-06,
"loss": 0.0864,
"step": 190
},
{
"epoch": 3.5087719298245617,
"grad_norm": 4.776849269866943,
"learning_rate": 2.9824561403508774e-06,
"loss": 0.0978,
"step": 200
},
{
"epoch": 3.5087719298245617,
"eval_accuracy": 0.9691629955947136,
"eval_confusion_matrix": [
[
59,
7
],
[
0,
161
]
],
"eval_loss": 0.12027937173843384,
"eval_runtime": 24.0716,
"eval_samples_per_second": 9.43,
"eval_steps_per_second": 0.332,
"step": 200
},
{
"epoch": 3.6842105263157894,
"grad_norm": 0.3222098648548126,
"learning_rate": 2.631578947368421e-06,
"loss": 0.1081,
"step": 210
},
{
"epoch": 3.8596491228070176,
"grad_norm": 0.9184278845787048,
"learning_rate": 2.280701754385965e-06,
"loss": 0.074,
"step": 220
},
{
"epoch": 4.035087719298246,
"grad_norm": 0.5896315574645996,
"learning_rate": 1.929824561403509e-06,
"loss": 0.1126,
"step": 230
},
{
"epoch": 4.2105263157894735,
"grad_norm": 0.3399348556995392,
"learning_rate": 1.5789473684210526e-06,
"loss": 0.0792,
"step": 240
},
{
"epoch": 4.385964912280702,
"grad_norm": 0.26603880524635315,
"learning_rate": 1.2280701754385965e-06,
"loss": 0.0582,
"step": 250
},
{
"epoch": 4.56140350877193,
"grad_norm": 0.25929567217826843,
"learning_rate": 8.771929824561404e-07,
"loss": 0.0581,
"step": 260
},
{
"epoch": 4.7368421052631575,
"grad_norm": 0.26217120885849,
"learning_rate": 5.263157894736843e-07,
"loss": 0.0473,
"step": 270
},
{
"epoch": 4.912280701754386,
"grad_norm": 0.3724278509616852,
"learning_rate": 1.7543859649122808e-07,
"loss": 0.0989,
"step": 280
},
{
"epoch": 5.0,
"step": 285,
"total_flos": 7.020774259082035e+17,
"train_loss": 0.16548631944154438,
"train_runtime": 2814.3096,
"train_samples_per_second": 3.241,
"train_steps_per_second": 0.101
}
],
"logging_steps": 10,
"max_steps": 285,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 100,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 7.020774259082035e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}