| { |
| "best_metric": 0.8741333333333333, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0607/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": 68.32880401611328, |
| "learning_rate": 8.571428571428571e-05, |
| "loss": 2.6819, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.7581333333333333, |
| "eval_loss": 0.8816426992416382, |
| "eval_runtime": 9.4684, |
| "eval_samples_per_second": 396.056, |
| "eval_steps_per_second": 6.231, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 200.93524169921875, |
| "learning_rate": 7.142857142857143e-05, |
| "loss": 0.652, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8298666666666666, |
| "eval_loss": 0.52366042137146, |
| "eval_runtime": 9.1968, |
| "eval_samples_per_second": 407.752, |
| "eval_steps_per_second": 6.415, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 110.75025177001953, |
| "learning_rate": 5.714285714285714e-05, |
| "loss": 0.3979, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8546666666666667, |
| "eval_loss": 0.46227553486824036, |
| "eval_runtime": 8.9874, |
| "eval_samples_per_second": 417.25, |
| "eval_steps_per_second": 6.565, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 66.47645568847656, |
| "learning_rate": 4.2857142857142856e-05, |
| "loss": 0.2786, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8624, |
| "eval_loss": 0.4232029914855957, |
| "eval_runtime": 8.9648, |
| "eval_samples_per_second": 418.301, |
| "eval_steps_per_second": 6.581, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 84.39371490478516, |
| "learning_rate": 2.857142857142857e-05, |
| "loss": 0.2103, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8706666666666667, |
| "eval_loss": 0.41237759590148926, |
| "eval_runtime": 8.9259, |
| "eval_samples_per_second": 420.125, |
| "eval_steps_per_second": 6.61, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 77.57479095458984, |
| "learning_rate": 1.4285714285714285e-05, |
| "loss": 0.1671, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8658666666666667, |
| "eval_loss": 0.41748130321502686, |
| "eval_runtime": 8.816, |
| "eval_samples_per_second": 425.365, |
| "eval_steps_per_second": 6.692, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 64.06316375732422, |
| "learning_rate": 0.0, |
| "loss": 0.1417, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.8741333333333333, |
| "eval_loss": 0.4093964695930481, |
| "eval_runtime": 8.8369, |
| "eval_samples_per_second": 424.355, |
| "eval_steps_per_second": 6.677, |
| "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 |
| } |
|
|
