| { |
| "best_metric": 0.8858666666666667, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0015/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": 147.51644897460938, |
| "learning_rate": 9.504844339512095e-05, |
| "loss": 2.9348, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.6893333333333334, |
| "eval_loss": 1.201104998588562, |
| "eval_runtime": 9.6827, |
| "eval_samples_per_second": 387.288, |
| "eval_steps_per_second": 6.093, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 54.793975830078125, |
| "learning_rate": 8.117449009293668e-05, |
| "loss": 0.8303, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8226666666666667, |
| "eval_loss": 0.6036300659179688, |
| "eval_runtime": 8.8863, |
| "eval_samples_per_second": 421.996, |
| "eval_steps_per_second": 6.639, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 71.83878326416016, |
| "learning_rate": 6.112604669781572e-05, |
| "loss": 0.5127, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8565333333333334, |
| "eval_loss": 0.4763355553150177, |
| "eval_runtime": 8.8647, |
| "eval_samples_per_second": 423.028, |
| "eval_steps_per_second": 6.656, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 50.52066421508789, |
| "learning_rate": 3.887395330218429e-05, |
| "loss": 0.3953, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8733333333333333, |
| "eval_loss": 0.4242381751537323, |
| "eval_runtime": 8.6957, |
| "eval_samples_per_second": 431.249, |
| "eval_steps_per_second": 6.785, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 51.31986618041992, |
| "learning_rate": 1.8825509907063327e-05, |
| "loss": 0.3197, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8792, |
| "eval_loss": 0.39328446984291077, |
| "eval_runtime": 8.7002, |
| "eval_samples_per_second": 431.026, |
| "eval_steps_per_second": 6.781, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 56.45174789428711, |
| "learning_rate": 4.951556604879048e-06, |
| "loss": 0.295, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8837333333333334, |
| "eval_loss": 0.3996211588382721, |
| "eval_runtime": 8.978, |
| "eval_samples_per_second": 417.685, |
| "eval_steps_per_second": 6.572, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 56.920982360839844, |
| "learning_rate": 0.0, |
| "loss": 0.2804, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.8858666666666667, |
| "eval_loss": 0.39302414655685425, |
| "eval_runtime": 8.8475, |
| "eval_samples_per_second": 423.85, |
| "eval_steps_per_second": 6.669, |
| "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 |
| } |
|
|