| { |
| "best_metric": 0.8568, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0772/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": 91.47213745117188, |
| "learning_rate": 6.653391037658466e-05, |
| "loss": 3.2311, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.6677333333333333, |
| "eval_loss": 1.511957049369812, |
| "eval_runtime": 7.732, |
| "eval_samples_per_second": 484.999, |
| "eval_steps_per_second": 7.631, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 89.09217834472656, |
| "learning_rate": 5.682214306505567e-05, |
| "loss": 0.9173, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8093333333333333, |
| "eval_loss": 0.6653686165809631, |
| "eval_runtime": 7.6236, |
| "eval_samples_per_second": 491.896, |
| "eval_steps_per_second": 7.739, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 78.70437622070312, |
| "learning_rate": 4.2788232688471e-05, |
| "loss": 0.5274, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8394666666666667, |
| "eval_loss": 0.5181002616882324, |
| "eval_runtime": 8.0843, |
| "eval_samples_per_second": 463.86, |
| "eval_steps_per_second": 7.298, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 65.95828247070312, |
| "learning_rate": 2.7211767311528996e-05, |
| "loss": 0.378, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8517333333333333, |
| "eval_loss": 0.4700625240802765, |
| "eval_runtime": 7.6472, |
| "eval_samples_per_second": 490.376, |
| "eval_steps_per_second": 7.715, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 141.72393798828125, |
| "learning_rate": 1.3177856934944328e-05, |
| "loss": 0.3017, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8549333333333333, |
| "eval_loss": 0.4613685607910156, |
| "eval_runtime": 7.631, |
| "eval_samples_per_second": 491.418, |
| "eval_steps_per_second": 7.732, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 75.83885192871094, |
| "learning_rate": 3.4660896234153336e-06, |
| "loss": 0.2592, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8554666666666667, |
| "eval_loss": 0.45299890637397766, |
| "eval_runtime": 7.6544, |
| "eval_samples_per_second": 489.915, |
| "eval_steps_per_second": 7.708, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 70.49552917480469, |
| "learning_rate": 0.0, |
| "loss": 0.2486, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.8568, |
| "eval_loss": 0.4609434902667999, |
| "eval_runtime": 7.6915, |
| "eval_samples_per_second": 487.55, |
| "eval_steps_per_second": 7.671, |
| "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 |
| } |
|
|