| { | |
| "best_metric": 0.9093333333333333, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0118/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": 122.72655487060547, | |
| "learning_rate": 0.000288581929876693, | |
| "loss": 1.5175, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8477333333333333, | |
| "eval_loss": 0.4902642071247101, | |
| "eval_runtime": 7.2741, | |
| "eval_samples_per_second": 515.529, | |
| "eval_steps_per_second": 8.111, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 65.93448638916016, | |
| "learning_rate": 0.00025606601717798207, | |
| "loss": 0.3929, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8864, | |
| "eval_loss": 0.37221813201904297, | |
| "eval_runtime": 7.2358, | |
| "eval_samples_per_second": 518.258, | |
| "eval_steps_per_second": 8.154, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 45.907806396484375, | |
| "learning_rate": 0.00020740251485476345, | |
| "loss": 0.2102, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8861333333333333, | |
| "eval_loss": 0.38064950704574585, | |
| "eval_runtime": 6.9863, | |
| "eval_samples_per_second": 536.762, | |
| "eval_steps_per_second": 8.445, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 38.10350799560547, | |
| "learning_rate": 0.00015, | |
| "loss": 0.1092, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9018666666666667, | |
| "eval_loss": 0.35700762271881104, | |
| "eval_runtime": 12.1254, | |
| "eval_samples_per_second": 309.269, | |
| "eval_steps_per_second": 4.866, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 30.93914031982422, | |
| "learning_rate": 9.259748514523653e-05, | |
| "loss": 0.0493, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9016, | |
| "eval_loss": 0.38038620352745056, | |
| "eval_runtime": 6.9837, | |
| "eval_samples_per_second": 536.968, | |
| "eval_steps_per_second": 8.448, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 68.55017852783203, | |
| "learning_rate": 4.3933982822017876e-05, | |
| "loss": 0.0264, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9064, | |
| "eval_loss": 0.38314858078956604, | |
| "eval_runtime": 7.0279, | |
| "eval_samples_per_second": 533.589, | |
| "eval_steps_per_second": 8.395, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 72.02960968017578, | |
| "learning_rate": 1.1418070123306989e-05, | |
| "loss": 0.0194, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9093333333333333, | |
| "eval_loss": 0.3754997253417969, | |
| "eval_runtime": 7.4519, | |
| "eval_samples_per_second": 503.228, | |
| "eval_steps_per_second": 7.917, | |
| "step": 2331 | |
| } | |
| ], | |
| "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": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 5.7235004676864e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |