|
{ |
|
"best_metric": 0.8853333333333333, |
|
"best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0127/checkpoints/checkpoint-2331", |
|
"epoch": 7.0, |
|
"eval_steps": 500, |
|
"global_step": 2331, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 68.2916030883789, |
|
"learning_rate": 7.714285714285714e-05, |
|
"loss": 2.978, |
|
"step": 333 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7325333333333334, |
|
"eval_loss": 1.1154764890670776, |
|
"eval_runtime": 5.3414, |
|
"eval_samples_per_second": 702.061, |
|
"eval_steps_per_second": 11.046, |
|
"step": 333 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 68.89349365234375, |
|
"learning_rate": 6.428571428571429e-05, |
|
"loss": 0.755, |
|
"step": 666 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8434666666666667, |
|
"eval_loss": 0.5194705128669739, |
|
"eval_runtime": 5.3178, |
|
"eval_samples_per_second": 705.184, |
|
"eval_steps_per_second": 11.095, |
|
"step": 666 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 48.08671188354492, |
|
"learning_rate": 5.142857142857143e-05, |
|
"loss": 0.4725, |
|
"step": 999 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8634666666666667, |
|
"eval_loss": 0.43179377913475037, |
|
"eval_runtime": 5.3865, |
|
"eval_samples_per_second": 696.182, |
|
"eval_steps_per_second": 10.953, |
|
"step": 999 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 46.980934143066406, |
|
"learning_rate": 3.857142857142857e-05, |
|
"loss": 0.3597, |
|
"step": 1332 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8733333333333333, |
|
"eval_loss": 0.39097362756729126, |
|
"eval_runtime": 5.3702, |
|
"eval_samples_per_second": 698.302, |
|
"eval_steps_per_second": 10.987, |
|
"step": 1332 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 87.41561889648438, |
|
"learning_rate": 2.5714285714285714e-05, |
|
"loss": 0.2933, |
|
"step": 1665 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.8794666666666666, |
|
"eval_loss": 0.3770959973335266, |
|
"eval_runtime": 5.2772, |
|
"eval_samples_per_second": 710.599, |
|
"eval_steps_per_second": 11.18, |
|
"step": 1665 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 58.91222381591797, |
|
"learning_rate": 1.2857142857142857e-05, |
|
"loss": 0.2542, |
|
"step": 1998 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.8813333333333333, |
|
"eval_loss": 0.3833366334438324, |
|
"eval_runtime": 5.3707, |
|
"eval_samples_per_second": 698.232, |
|
"eval_steps_per_second": 10.986, |
|
"step": 1998 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 94.67659759521484, |
|
"learning_rate": 0.0, |
|
"loss": 0.2403, |
|
"step": 2331 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.8853333333333333, |
|
"eval_loss": 0.36212292313575745, |
|
"eval_runtime": 5.3522, |
|
"eval_samples_per_second": 700.641, |
|
"eval_steps_per_second": 11.023, |
|
"step": 2331 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2331, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 7, |
|
"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": 5.7235004676864e+18, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|