DunnBC22's picture
All Dunn!!!
a53907e
{
"best_metric": 0.00161766167730093,
"best_model_checkpoint": "google/vit-base-patch16-224-in21k_lung_and_colon_cancer/checkpoint-3750",
"epoch": 3.0,
"global_step": 3750,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.0001999466666666667,
"loss": 1.6179,
"step": 1
},
{
"epoch": 0.4,
"learning_rate": 0.00017333333333333334,
"loss": 0.1693,
"step": 500
},
{
"epoch": 0.8,
"learning_rate": 0.00014666666666666666,
"loss": 0.0574,
"step": 1000
},
{
"epoch": 1.0,
"eval_Macro F1": 0.9865017935400122,
"eval_Macro Precision": 0.9875002364513383,
"eval_Macro Recall": 0.9863606740619868,
"eval_Micro F1": 0.9864,
"eval_Micro Precision": 0.9864,
"eval_Micro Recall": 0.9864,
"eval_Weighted F1": 0.9863794957787954,
"eval_Weighted Precision": 0.9872238759103377,
"eval_Weighted Recall": 0.9864,
"eval_accuracy": 0.9864,
"eval_loss": 0.04096974432468414,
"eval_runtime": 4511.8715,
"eval_samples_per_second": 1.108,
"eval_steps_per_second": 0.139,
"step": 1250
},
{
"epoch": 1.2,
"learning_rate": 0.00012,
"loss": 0.0287,
"step": 1500
},
{
"epoch": 1.6,
"learning_rate": 9.333333333333334e-05,
"loss": 0.0109,
"step": 2000
},
{
"epoch": 2.0,
"learning_rate": 6.666666666666667e-05,
"loss": 0.0031,
"step": 2500
},
{
"epoch": 2.0,
"eval_Macro F1": 0.9972275896009121,
"eval_Macro Precision": 0.9972253673417972,
"eval_Macro Recall": 0.9972578537175554,
"eval_Micro F1": 0.9972,
"eval_Micro Precision": 0.9972,
"eval_Micro Recall": 0.9972,
"eval_Weighted F1": 0.9972001152883533,
"eval_Weighted Precision": 0.9972285478174178,
"eval_Weighted Recall": 0.9972,
"eval_accuracy": 0.9972,
"eval_loss": 0.010541466064751148,
"eval_runtime": 4518.0618,
"eval_samples_per_second": 1.107,
"eval_steps_per_second": 0.138,
"step": 2500
},
{
"epoch": 2.4,
"learning_rate": 4e-05,
"loss": 0.0011,
"step": 3000
},
{
"epoch": 2.8,
"learning_rate": 1.3333333333333333e-05,
"loss": 0.0007,
"step": 3500
},
{
"epoch": 3.0,
"eval_Macro F1": 0.9994058181288713,
"eval_Macro Precision": 0.9994152046783625,
"eval_Macro Recall": 0.9993981945837513,
"eval_Micro F1": 0.9994,
"eval_Micro Precision": 0.9994,
"eval_Micro Recall": 0.9994,
"eval_Weighted F1": 0.9993999872044993,
"eval_Weighted Precision": 0.9994017543859649,
"eval_Weighted Recall": 0.9994,
"eval_accuracy": 0.9994,
"eval_loss": 0.00161766167730093,
"eval_runtime": 4559.4795,
"eval_samples_per_second": 1.097,
"eval_steps_per_second": 0.137,
"step": 3750
},
{
"epoch": 3.0,
"step": 3750,
"total_flos": 4.64964439339008e+18,
"train_loss": 0.036570715290308,
"train_runtime": 173510.8416,
"train_samples_per_second": 0.346,
"train_steps_per_second": 0.022
}
],
"max_steps": 3750,
"num_train_epochs": 3,
"total_flos": 4.64964439339008e+18,
"trial_name": null,
"trial_params": null
}