| { |
| "best_metric": 0.8706666666666667, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0321/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": 455.7652587890625, |
| "learning_rate": 4.2857142857142856e-05, |
| "loss": 3.6448, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.588, |
| "eval_loss": 3.076093912124634, |
| "eval_runtime": 7.6111, |
| "eval_samples_per_second": 492.699, |
| "eval_steps_per_second": 7.752, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 216.0070037841797, |
| "learning_rate": 3.571428571428572e-05, |
| "loss": 1.9565, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.7605333333333333, |
| "eval_loss": 1.0637831687927246, |
| "eval_runtime": 7.6815, |
| "eval_samples_per_second": 488.185, |
| "eval_steps_per_second": 7.681, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 121.97456359863281, |
| "learning_rate": 2.857142857142857e-05, |
| "loss": 0.8311, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8304, |
| "eval_loss": 0.6215339303016663, |
| "eval_runtime": 7.6883, |
| "eval_samples_per_second": 487.755, |
| "eval_steps_per_second": 7.674, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 157.86314392089844, |
| "learning_rate": 2.1428571428571428e-05, |
| "loss": 0.584, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8474666666666667, |
| "eval_loss": 0.512190043926239, |
| "eval_runtime": 7.7359, |
| "eval_samples_per_second": 484.756, |
| "eval_steps_per_second": 7.627, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 135.15408325195312, |
| "learning_rate": 1.4285714285714285e-05, |
| "loss": 0.4867, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8594666666666667, |
| "eval_loss": 0.46384692192077637, |
| "eval_runtime": 7.6122, |
| "eval_samples_per_second": 492.63, |
| "eval_steps_per_second": 7.751, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 195.56370544433594, |
| "learning_rate": 7.142857142857143e-06, |
| "loss": 0.4246, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8645333333333334, |
| "eval_loss": 0.44718268513679504, |
| "eval_runtime": 7.543, |
| "eval_samples_per_second": 497.148, |
| "eval_steps_per_second": 7.822, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 363.8642272949219, |
| "learning_rate": 0.0, |
| "loss": 0.4058, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.8706666666666667, |
| "eval_loss": 0.4354051351547241, |
| "eval_runtime": 7.6049, |
| "eval_samples_per_second": 493.106, |
| "eval_steps_per_second": 7.758, |
| "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 |
| } |
|
|