| { | |
| "best_metric": 0.896, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0548/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": 165.78256225585938, | |
| "learning_rate": 9.619397662556435e-05, | |
| "loss": 2.5104, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7874666666666666, | |
| "eval_loss": 0.7962279319763184, | |
| "eval_runtime": 12.501, | |
| "eval_samples_per_second": 299.977, | |
| "eval_steps_per_second": 4.72, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 97.7348403930664, | |
| "learning_rate": 8.535533905932738e-05, | |
| "loss": 0.6035, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8616, | |
| "eval_loss": 0.46331414580345154, | |
| "eval_runtime": 12.4669, | |
| "eval_samples_per_second": 300.797, | |
| "eval_steps_per_second": 4.733, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 106.37476348876953, | |
| "learning_rate": 6.91341716182545e-05, | |
| "loss": 0.3475, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8842666666666666, | |
| "eval_loss": 0.3724762499332428, | |
| "eval_runtime": 12.5478, | |
| "eval_samples_per_second": 298.858, | |
| "eval_steps_per_second": 4.702, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 107.25939178466797, | |
| "learning_rate": 5e-05, | |
| "loss": 0.2215, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8904, | |
| "eval_loss": 0.34392863512039185, | |
| "eval_runtime": 12.4428, | |
| "eval_samples_per_second": 301.38, | |
| "eval_steps_per_second": 4.742, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 67.79757690429688, | |
| "learning_rate": 3.086582838174551e-05, | |
| "loss": 0.1488, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8944, | |
| "eval_loss": 0.346574991941452, | |
| "eval_runtime": 13.0895, | |
| "eval_samples_per_second": 286.49, | |
| "eval_steps_per_second": 4.507, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 67.08159637451172, | |
| "learning_rate": 1.4644660940672627e-05, | |
| "loss": 0.1094, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8946666666666667, | |
| "eval_loss": 0.3477937579154968, | |
| "eval_runtime": 12.6286, | |
| "eval_samples_per_second": 296.944, | |
| "eval_steps_per_second": 4.672, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 44.662315368652344, | |
| "learning_rate": 3.8060233744356633e-06, | |
| "loss": 0.0843, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.896, | |
| "eval_loss": 0.3452041745185852, | |
| "eval_runtime": 12.6166, | |
| "eval_samples_per_second": 297.229, | |
| "eval_steps_per_second": 4.676, | |
| "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 | |
| } | |