| { | |
| "best_metric": 0.9141333333333334, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0694/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": 140.48890686035156, | |
| "learning_rate": 0.0001, | |
| "loss": 2.6443, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8181333333333334, | |
| "eval_loss": 0.7337123155593872, | |
| "eval_runtime": 14.3479, | |
| "eval_samples_per_second": 261.363, | |
| "eval_steps_per_second": 4.112, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 100.06768035888672, | |
| "learning_rate": 0.0001, | |
| "loss": 0.5431, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8792, | |
| "eval_loss": 0.41780441999435425, | |
| "eval_runtime": 14.4913, | |
| "eval_samples_per_second": 258.776, | |
| "eval_steps_per_second": 4.071, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 64.3356704711914, | |
| "learning_rate": 0.0001, | |
| "loss": 0.325, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8989333333333334, | |
| "eval_loss": 0.34408098459243774, | |
| "eval_runtime": 14.552, | |
| "eval_samples_per_second": 257.697, | |
| "eval_steps_per_second": 4.054, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 146.96437072753906, | |
| "learning_rate": 0.0001, | |
| "loss": 0.2294, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9, | |
| "eval_loss": 0.3367672562599182, | |
| "eval_runtime": 14.4891, | |
| "eval_samples_per_second": 258.815, | |
| "eval_steps_per_second": 4.072, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 79.65142059326172, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1606, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9098666666666667, | |
| "eval_loss": 0.3105486333370209, | |
| "eval_runtime": 14.4814, | |
| "eval_samples_per_second": 258.954, | |
| "eval_steps_per_second": 4.074, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 125.71892547607422, | |
| "learning_rate": 0.0001, | |
| "loss": 0.1233, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9077333333333333, | |
| "eval_loss": 0.32635462284088135, | |
| "eval_runtime": 14.3959, | |
| "eval_samples_per_second": 260.491, | |
| "eval_steps_per_second": 4.098, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 75.36900329589844, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0925, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9141333333333334, | |
| "eval_loss": 0.32104775309562683, | |
| "eval_runtime": 14.412, | |
| "eval_samples_per_second": 260.201, | |
| "eval_steps_per_second": 4.094, | |
| "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 | |
| } | |