| { | |
| "best_metric": 0.8872, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0315/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": 149.78822326660156, | |
| "learning_rate": 8.728616793536588e-05, | |
| "loss": 2.9795, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6874666666666667, | |
| "eval_loss": 1.2588895559310913, | |
| "eval_runtime": 9.3587, | |
| "eval_samples_per_second": 400.698, | |
| "eval_steps_per_second": 6.304, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 101.07476806640625, | |
| "learning_rate": 7.947199994035401e-05, | |
| "loss": 0.8783, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8128, | |
| "eval_loss": 0.6587761640548706, | |
| "eval_runtime": 9.3492, | |
| "eval_samples_per_second": 401.103, | |
| "eval_steps_per_second": 6.311, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 79.67926788330078, | |
| "learning_rate": 6.75e-05, | |
| "loss": 0.5539, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8586666666666667, | |
| "eval_loss": 0.5099525451660156, | |
| "eval_runtime": 9.3663, | |
| "eval_samples_per_second": 400.371, | |
| "eval_steps_per_second": 6.299, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 138.72402954101562, | |
| "learning_rate": 5.2814167995011876e-05, | |
| "loss": 0.4131, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8650666666666667, | |
| "eval_loss": 0.4616686701774597, | |
| "eval_runtime": 9.3467, | |
| "eval_samples_per_second": 401.209, | |
| "eval_steps_per_second": 6.312, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 203.91285705566406, | |
| "learning_rate": 3.7185832004988136e-05, | |
| "loss": 0.3335, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8757333333333334, | |
| "eval_loss": 0.41663503646850586, | |
| "eval_runtime": 9.3721, | |
| "eval_samples_per_second": 400.123, | |
| "eval_steps_per_second": 6.295, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 63.299415588378906, | |
| "learning_rate": 2.250000000000001e-05, | |
| "loss": 0.2824, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8834666666666666, | |
| "eval_loss": 0.40055161714553833, | |
| "eval_runtime": 9.3566, | |
| "eval_samples_per_second": 400.786, | |
| "eval_steps_per_second": 6.306, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 56.5100212097168, | |
| "learning_rate": 1.0528000059645995e-05, | |
| "loss": 0.2611, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8872, | |
| "eval_loss": 0.3829886019229889, | |
| "eval_runtime": 9.4147, | |
| "eval_samples_per_second": 398.312, | |
| "eval_steps_per_second": 6.267, | |
| "step": 2331 | |
| } | |
| ], | |
| "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": 5.7235004676864e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |