| { | |
| "best_metric": 0.8850666666666667, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0343/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": 175.85565185546875, | |
| "learning_rate": 7e-05, | |
| "loss": 3.4229, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5584, | |
| "eval_loss": 2.038343667984009, | |
| "eval_runtime": 15.2282, | |
| "eval_samples_per_second": 246.254, | |
| "eval_steps_per_second": 3.874, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 132.67327880859375, | |
| "learning_rate": 7e-05, | |
| "loss": 1.1419, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8066666666666666, | |
| "eval_loss": 0.6681300401687622, | |
| "eval_runtime": 15.2577, | |
| "eval_samples_per_second": 245.778, | |
| "eval_steps_per_second": 3.867, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 74.82705688476562, | |
| "learning_rate": 7e-05, | |
| "loss": 0.5915, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8410666666666666, | |
| "eval_loss": 0.5087078213691711, | |
| "eval_runtime": 15.2393, | |
| "eval_samples_per_second": 246.074, | |
| "eval_steps_per_second": 3.872, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 191.7124481201172, | |
| "learning_rate": 7e-05, | |
| "loss": 0.4231, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8552, | |
| "eval_loss": 0.4694192707538605, | |
| "eval_runtime": 15.1446, | |
| "eval_samples_per_second": 247.613, | |
| "eval_steps_per_second": 3.896, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 71.66416931152344, | |
| "learning_rate": 7e-05, | |
| "loss": 0.3387, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8698666666666667, | |
| "eval_loss": 0.4305684268474579, | |
| "eval_runtime": 15.2152, | |
| "eval_samples_per_second": 246.463, | |
| "eval_steps_per_second": 3.878, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 131.28231811523438, | |
| "learning_rate": 7e-05, | |
| "loss": 0.2666, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8845333333333333, | |
| "eval_loss": 0.39838552474975586, | |
| "eval_runtime": 15.1641, | |
| "eval_samples_per_second": 247.295, | |
| "eval_steps_per_second": 3.891, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 137.51133728027344, | |
| "learning_rate": 7e-05, | |
| "loss": 0.2201, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8850666666666667, | |
| "eval_loss": 0.3964410722255707, | |
| "eval_runtime": 15.1992, | |
| "eval_samples_per_second": 246.723, | |
| "eval_steps_per_second": 3.882, | |
| "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 | |
| } | |