DunnBC22's picture
All Dunn!!!
7d17483
{
"best_metric": 0.9340639641016528,
"best_model_checkpoint": "google/vit-base-patch16-224-in21k-vegetables_classification/checkpoint-1011",
"epoch": 3.0,
"global_step": 1011,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.00019980217606330368,
"loss": 2.4333,
"step": 1
},
{
"epoch": 1.0,
"eval_Macro F1": 0.9080099799398524,
"eval_Macro Precision": 0.9234365278821094,
"eval_Macro Recall": 0.9002144522770077,
"eval_Micro F1": 0.9035608308605341,
"eval_Micro Precision": 0.9035608308605341,
"eval_Micro Recall": 0.9035608308605341,
"eval_Weighted F1": 0.9027625888607032,
"eval_Weighted Precision": 0.9088281264284735,
"eval_Weighted Recall": 0.9035608308605341,
"eval_accuracy": 0.9035608308605341,
"eval_loss": 0.3374052047729492,
"eval_runtime": 1187.6363,
"eval_samples_per_second": 1.135,
"eval_steps_per_second": 0.142,
"step": 337
},
{
"epoch": 1.48,
"learning_rate": 0.00010108803165182987,
"loss": 0.4422,
"step": 500
},
{
"epoch": 2.0,
"eval_Macro F1": 0.9284751708493545,
"eval_Macro Precision": 0.9317762555447896,
"eval_Macro Recall": 0.9273066824708632,
"eval_Micro F1": 0.9228486646884273,
"eval_Micro Precision": 0.9228486646884273,
"eval_Micro Recall": 0.9228486646884273,
"eval_Weighted F1": 0.922553414641916,
"eval_Weighted Precision": 0.9248209386939668,
"eval_Weighted Recall": 0.9228486646884273,
"eval_accuracy": 0.9228486646884273,
"eval_loss": 0.2503892481327057,
"eval_runtime": 1168.2307,
"eval_samples_per_second": 1.154,
"eval_steps_per_second": 0.145,
"step": 674
},
{
"epoch": 2.97,
"learning_rate": 2.1760633036597427e-06,
"loss": 0.1051,
"step": 1000
},
{
"epoch": 3.0,
"eval_Macro F1": 0.9372182266715665,
"eval_Macro Precision": 0.9397527643161172,
"eval_Macro Recall": 0.9353770361300282,
"eval_Micro F1": 0.9339762611275965,
"eval_Micro Precision": 0.9339762611275965,
"eval_Micro Recall": 0.9339762611275965,
"eval_Weighted F1": 0.9340639641016528,
"eval_Weighted Precision": 0.9346802003761767,
"eval_Weighted Recall": 0.9339762611275965,
"eval_accuracy": 0.9339762611275965,
"eval_loss": 0.2254980355501175,
"eval_runtime": 1168.0362,
"eval_samples_per_second": 1.154,
"eval_steps_per_second": 0.145,
"step": 1011
},
{
"epoch": 3.0,
"step": 1011,
"total_flos": 1.2529140531986534e+18,
"train_loss": 0.2735011851162632,
"train_runtime": 45270.4792,
"train_samples_per_second": 0.357,
"train_steps_per_second": 0.022
}
],
"max_steps": 1011,
"num_train_epochs": 3,
"total_flos": 1.2529140531986534e+18,
"trial_name": null,
"trial_params": null
}