|
{ |
|
"best_metric": 0.9096, |
|
"best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0896/checkpoints/checkpoint-1998", |
|
"epoch": 6.0, |
|
"eval_steps": 500, |
|
"global_step": 1998, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 35.52180480957031, |
|
"learning_rate": 0.0003, |
|
"loss": 1.4166, |
|
"step": 333 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8714666666666666, |
|
"eval_loss": 0.42606765031814575, |
|
"eval_runtime": 12.7141, |
|
"eval_samples_per_second": 294.949, |
|
"eval_steps_per_second": 4.641, |
|
"step": 333 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 32.54019546508789, |
|
"learning_rate": 0.0003, |
|
"loss": 0.3314, |
|
"step": 666 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8912, |
|
"eval_loss": 0.3743750751018524, |
|
"eval_runtime": 12.7006, |
|
"eval_samples_per_second": 295.261, |
|
"eval_steps_per_second": 4.645, |
|
"step": 666 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 53.38423156738281, |
|
"learning_rate": 0.0003, |
|
"loss": 0.1857, |
|
"step": 999 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9026666666666666, |
|
"eval_loss": 0.3539322316646576, |
|
"eval_runtime": 12.9194, |
|
"eval_samples_per_second": 290.262, |
|
"eval_steps_per_second": 4.567, |
|
"step": 999 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 50.010501861572266, |
|
"learning_rate": 0.0003, |
|
"loss": 0.1148, |
|
"step": 1332 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.9032, |
|
"eval_loss": 0.37535130977630615, |
|
"eval_runtime": 12.8299, |
|
"eval_samples_per_second": 292.285, |
|
"eval_steps_per_second": 4.599, |
|
"step": 1332 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 21.175752639770508, |
|
"learning_rate": 0.0003, |
|
"loss": 0.0844, |
|
"step": 1665 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.904, |
|
"eval_loss": 0.40016353130340576, |
|
"eval_runtime": 12.7906, |
|
"eval_samples_per_second": 293.183, |
|
"eval_steps_per_second": 4.613, |
|
"step": 1665 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 25.689027786254883, |
|
"learning_rate": 0.0003, |
|
"loss": 0.0629, |
|
"step": 1998 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.9096, |
|
"eval_loss": 0.41143015027046204, |
|
"eval_runtime": 13.1989, |
|
"eval_samples_per_second": 284.114, |
|
"eval_steps_per_second": 4.47, |
|
"step": 1998 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2997, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 4.9058575437312e+18, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|