| { |
| "best_metric": 0.8858666666666667, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0528/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": 743.876220703125, |
| "learning_rate": 8.554359905560886e-05, |
| "loss": 2.7892, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.7544, |
| "eval_loss": 0.9682375192642212, |
| "eval_runtime": 8.1458, |
| "eval_samples_per_second": 460.361, |
| "eval_steps_per_second": 7.243, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 108.92616271972656, |
| "learning_rate": 7.305704108364301e-05, |
| "loss": 0.6658, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.848, |
| "eval_loss": 0.5306808948516846, |
| "eval_runtime": 7.9762, |
| "eval_samples_per_second": 470.147, |
| "eval_steps_per_second": 7.397, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 184.5489044189453, |
| "learning_rate": 5.501344202803415e-05, |
| "loss": 0.3904, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8717333333333334, |
| "eval_loss": 0.43771159648895264, |
| "eval_runtime": 8.0117, |
| "eval_samples_per_second": 468.068, |
| "eval_steps_per_second": 7.364, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 57.365901947021484, |
| "learning_rate": 3.498655797196586e-05, |
| "loss": 0.2536, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8762666666666666, |
| "eval_loss": 0.40537744760513306, |
| "eval_runtime": 7.9059, |
| "eval_samples_per_second": 474.33, |
| "eval_steps_per_second": 7.463, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 97.658447265625, |
| "learning_rate": 1.6942958916356995e-05, |
| "loss": 0.1931, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8829333333333333, |
| "eval_loss": 0.4033312499523163, |
| "eval_runtime": 7.9767, |
| "eval_samples_per_second": 470.117, |
| "eval_steps_per_second": 7.397, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 71.80194091796875, |
| "learning_rate": 4.456400944391144e-06, |
| "loss": 0.1535, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8842666666666666, |
| "eval_loss": 0.40199601650238037, |
| "eval_runtime": 7.8535, |
| "eval_samples_per_second": 477.494, |
| "eval_steps_per_second": 7.513, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 87.62568664550781, |
| "learning_rate": 0.0, |
| "loss": 0.1386, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.8858666666666667, |
| "eval_loss": 0.38963568210601807, |
| "eval_runtime": 7.9253, |
| "eval_samples_per_second": 473.166, |
| "eval_steps_per_second": 7.444, |
| "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 |
| } |
|
|