| { | |
| "best_metric": 0.8802666666666666, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0383/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": 116.06025695800781, | |
| "learning_rate": 9e-05, | |
| "loss": 3.1647, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6181333333333333, | |
| "eval_loss": 1.5730739831924438, | |
| "eval_runtime": 13.4095, | |
| "eval_samples_per_second": 279.652, | |
| "eval_steps_per_second": 4.4, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 148.7941436767578, | |
| "learning_rate": 9e-05, | |
| "loss": 0.9641, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8064, | |
| "eval_loss": 0.6881924271583557, | |
| "eval_runtime": 13.1465, | |
| "eval_samples_per_second": 285.248, | |
| "eval_steps_per_second": 4.488, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 71.54553985595703, | |
| "learning_rate": 9e-05, | |
| "loss": 0.5603, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8434666666666667, | |
| "eval_loss": 0.5231713056564331, | |
| "eval_runtime": 13.2991, | |
| "eval_samples_per_second": 281.973, | |
| "eval_steps_per_second": 4.436, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 45.42745590209961, | |
| "learning_rate": 9e-05, | |
| "loss": 0.4037, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8594666666666667, | |
| "eval_loss": 0.4578052759170532, | |
| "eval_runtime": 13.3488, | |
| "eval_samples_per_second": 280.924, | |
| "eval_steps_per_second": 4.42, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 65.12864685058594, | |
| "learning_rate": 9e-05, | |
| "loss": 0.3088, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8661333333333333, | |
| "eval_loss": 0.4384918510913849, | |
| "eval_runtime": 13.2259, | |
| "eval_samples_per_second": 283.534, | |
| "eval_steps_per_second": 4.461, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 77.44757080078125, | |
| "learning_rate": 9e-05, | |
| "loss": 0.2387, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8757333333333334, | |
| "eval_loss": 0.4089867174625397, | |
| "eval_runtime": 13.7551, | |
| "eval_samples_per_second": 272.626, | |
| "eval_steps_per_second": 4.289, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 58.53445053100586, | |
| "learning_rate": 9e-05, | |
| "loss": 0.1908, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.876, | |
| "eval_loss": 0.43419837951660156, | |
| "eval_runtime": 13.5185, | |
| "eval_samples_per_second": 277.397, | |
| "eval_steps_per_second": 4.364, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 55.20626449584961, | |
| "learning_rate": 9e-05, | |
| "loss": 0.153, | |
| "step": 2664 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8802666666666666, | |
| "eval_loss": 0.433310329914093, | |
| "eval_runtime": 13.2763, | |
| "eval_samples_per_second": 282.458, | |
| "eval_steps_per_second": 4.444, | |
| "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 | |
| } | |