| { |
| "best_metric": 0.8826666666666667, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0857/checkpoints/checkpoint-2664", |
| "epoch": 8.0, |
| "eval_steps": 500, |
| "global_step": 2664, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 97.82379150390625, |
| "learning_rate": 9.619397662556435e-05, |
| "loss": 2.8464, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.7322666666666666, |
| "eval_loss": 1.0170294046401978, |
| "eval_runtime": 14.586, |
| "eval_samples_per_second": 257.096, |
| "eval_steps_per_second": 4.045, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 133.21177673339844, |
| "learning_rate": 8.535533905932738e-05, |
| "loss": 0.7715, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8290666666666666, |
| "eval_loss": 0.5703845024108887, |
| "eval_runtime": 14.2959, |
| "eval_samples_per_second": 262.313, |
| "eval_steps_per_second": 4.127, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 104.28449249267578, |
| "learning_rate": 6.91341716182545e-05, |
| "loss": 0.5064, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8589333333333333, |
| "eval_loss": 0.4567476511001587, |
| "eval_runtime": 14.3751, |
| "eval_samples_per_second": 260.868, |
| "eval_steps_per_second": 4.104, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 69.7591781616211, |
| "learning_rate": 5e-05, |
| "loss": 0.3938, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8741333333333333, |
| "eval_loss": 0.4031757116317749, |
| "eval_runtime": 14.2596, |
| "eval_samples_per_second": 262.98, |
| "eval_steps_per_second": 4.138, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 144.24362182617188, |
| "learning_rate": 3.086582838174551e-05, |
| "loss": 0.3122, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8778666666666667, |
| "eval_loss": 0.37770023941993713, |
| "eval_runtime": 14.1629, |
| "eval_samples_per_second": 264.777, |
| "eval_steps_per_second": 4.166, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 74.13427734375, |
| "learning_rate": 1.4644660940672627e-05, |
| "loss": 0.2795, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8770666666666667, |
| "eval_loss": 0.3872314393520355, |
| "eval_runtime": 14.2841, |
| "eval_samples_per_second": 262.53, |
| "eval_steps_per_second": 4.13, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 56.14397048950195, |
| "learning_rate": 3.8060233744356633e-06, |
| "loss": 0.2551, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.8765333333333334, |
| "eval_loss": 0.3905186951160431, |
| "eval_runtime": 14.208, |
| "eval_samples_per_second": 263.935, |
| "eval_steps_per_second": 4.153, |
| "step": 2331 |
| }, |
| { |
| "epoch": 8.0, |
| "grad_norm": 82.00831604003906, |
| "learning_rate": 0.0, |
| "loss": 0.2417, |
| "step": 2664 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.8826666666666667, |
| "eval_loss": 0.37602078914642334, |
| "eval_runtime": 14.2639, |
| "eval_samples_per_second": 262.902, |
| "eval_steps_per_second": 4.136, |
| "step": 2664 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 2664, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 8, |
| "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": 6.5411433916416e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|