|
{ |
|
"best_metric": 0.5, |
|
"best_model_checkpoint": "swinv2-tiny-patch4-window8-256-dmae-humeda-1/checkpoint-12", |
|
"epoch": 10.0, |
|
"eval_steps": 500, |
|
"global_step": 20, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.34615384615384615, |
|
"eval_loss": 1.5475995540618896, |
|
"eval_runtime": 0.9663, |
|
"eval_samples_per_second": 53.813, |
|
"eval_steps_per_second": 2.07, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.46153846153846156, |
|
"eval_loss": 1.4060213565826416, |
|
"eval_runtime": 0.9187, |
|
"eval_samples_per_second": 56.602, |
|
"eval_steps_per_second": 2.177, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.4423076923076923, |
|
"eval_loss": 1.4221522808074951, |
|
"eval_runtime": 0.9084, |
|
"eval_samples_per_second": 57.241, |
|
"eval_steps_per_second": 2.202, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.4230769230769231, |
|
"eval_loss": 1.4011189937591553, |
|
"eval_runtime": 0.9197, |
|
"eval_samples_per_second": 56.539, |
|
"eval_steps_per_second": 2.175, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 4.191273212432861, |
|
"learning_rate": 2.777777777777778e-05, |
|
"loss": 1.4158, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.46153846153846156, |
|
"eval_loss": 1.376419186592102, |
|
"eval_runtime": 1.2608, |
|
"eval_samples_per_second": 41.243, |
|
"eval_steps_per_second": 1.586, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.3549420833587646, |
|
"eval_runtime": 0.9055, |
|
"eval_samples_per_second": 57.426, |
|
"eval_steps_per_second": 2.209, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.3301607370376587, |
|
"eval_runtime": 0.9301, |
|
"eval_samples_per_second": 55.911, |
|
"eval_steps_per_second": 2.15, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.3073081970214844, |
|
"eval_runtime": 0.957, |
|
"eval_samples_per_second": 54.338, |
|
"eval_steps_per_second": 2.09, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.2922947406768799, |
|
"eval_runtime": 0.9636, |
|
"eval_samples_per_second": 53.965, |
|
"eval_steps_per_second": 2.076, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"grad_norm": 5.915622234344482, |
|
"learning_rate": 0.0, |
|
"loss": 1.2817, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.28629732131958, |
|
"eval_runtime": 1.2408, |
|
"eval_samples_per_second": 41.91, |
|
"eval_steps_per_second": 1.612, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 20, |
|
"total_flos": 7.743817889611776e+16, |
|
"train_loss": 1.3487067699432373, |
|
"train_runtime": 107.726, |
|
"train_samples_per_second": 22.093, |
|
"train_steps_per_second": 0.186 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 20, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 7.743817889611776e+16, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|