| { |
| "best_metric": 0.8586666666666667, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0068/checkpoints/checkpoint-1998", |
| "epoch": 6.0, |
| "eval_steps": 500, |
| "global_step": 1998, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 130.54525756835938, |
| "learning_rate": 5e-05, |
| "loss": 3.6862, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.4882666666666667, |
| "eval_loss": 3.050694227218628, |
| "eval_runtime": 7.5189, |
| "eval_samples_per_second": 498.741, |
| "eval_steps_per_second": 7.847, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 147.956298828125, |
| "learning_rate": 5e-05, |
| "loss": 1.8216, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.7514666666666666, |
| "eval_loss": 1.0035070180892944, |
| "eval_runtime": 7.4707, |
| "eval_samples_per_second": 501.961, |
| "eval_steps_per_second": 7.898, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 112.0032730102539, |
| "learning_rate": 5e-05, |
| "loss": 0.8, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8141333333333334, |
| "eval_loss": 0.6631394624710083, |
| "eval_runtime": 7.7219, |
| "eval_samples_per_second": 485.63, |
| "eval_steps_per_second": 7.641, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 405.89263916015625, |
| "learning_rate": 5e-05, |
| "loss": 0.5457, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8378666666666666, |
| "eval_loss": 0.5548146367073059, |
| "eval_runtime": 7.5821, |
| "eval_samples_per_second": 494.585, |
| "eval_steps_per_second": 7.781, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 125.52337646484375, |
| "learning_rate": 5e-05, |
| "loss": 0.438, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8408, |
| "eval_loss": 0.5259442329406738, |
| "eval_runtime": 7.5998, |
| "eval_samples_per_second": 493.432, |
| "eval_steps_per_second": 7.763, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 108.82524108886719, |
| "learning_rate": 5e-05, |
| "loss": 0.3544, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8586666666666667, |
| "eval_loss": 0.46336066722869873, |
| "eval_runtime": 7.6629, |
| "eval_samples_per_second": 489.372, |
| "eval_steps_per_second": 7.699, |
| "step": 1998 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 1998, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 6, |
| "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": 4.9058575437312e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|