| { |
| "best_metric": 0.8776, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0076/checkpoints/checkpoint-2664", |
| "epoch": 8.0, |
| "eval_steps": 500, |
| "global_step": 2664, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 320.2349853515625, |
| "learning_rate": 5e-05, |
| "loss": 3.7114, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.4301333333333333, |
| "eval_loss": 3.183850049972534, |
| "eval_runtime": 7.5199, |
| "eval_samples_per_second": 498.678, |
| "eval_steps_per_second": 7.846, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 154.48365783691406, |
| "learning_rate": 5e-05, |
| "loss": 1.8168, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.7453333333333333, |
| "eval_loss": 0.9348368644714355, |
| "eval_runtime": 7.5308, |
| "eval_samples_per_second": 497.955, |
| "eval_steps_per_second": 7.834, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 76.5516357421875, |
| "learning_rate": 5e-05, |
| "loss": 0.8233, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8232, |
| "eval_loss": 0.612225353717804, |
| "eval_runtime": 7.4728, |
| "eval_samples_per_second": 501.823, |
| "eval_steps_per_second": 7.895, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 52.131019592285156, |
| "learning_rate": 5e-05, |
| "loss": 0.5952, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8402666666666667, |
| "eval_loss": 0.5211203694343567, |
| "eval_runtime": 7.4987, |
| "eval_samples_per_second": 500.089, |
| "eval_steps_per_second": 7.868, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 74.33584594726562, |
| "learning_rate": 5e-05, |
| "loss": 0.4757, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8661333333333333, |
| "eval_loss": 0.4445667862892151, |
| "eval_runtime": 7.5441, |
| "eval_samples_per_second": 497.08, |
| "eval_steps_per_second": 7.821, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 79.33649444580078, |
| "learning_rate": 5e-05, |
| "loss": 0.4, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8650666666666667, |
| "eval_loss": 0.4358771741390228, |
| "eval_runtime": 7.5433, |
| "eval_samples_per_second": 497.129, |
| "eval_steps_per_second": 7.822, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 50.609947204589844, |
| "learning_rate": 5e-05, |
| "loss": 0.3432, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.876, |
| "eval_loss": 0.4023030698299408, |
| "eval_runtime": 7.5101, |
| "eval_samples_per_second": 499.329, |
| "eval_steps_per_second": 7.856, |
| "step": 2331 |
| }, |
| { |
| "epoch": 8.0, |
| "grad_norm": 89.07440185546875, |
| "learning_rate": 5e-05, |
| "loss": 0.2985, |
| "step": 2664 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.8776, |
| "eval_loss": 0.4007119834423065, |
| "eval_runtime": 7.526, |
| "eval_samples_per_second": 498.274, |
| "eval_steps_per_second": 7.84, |
| "step": 2664 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 2664, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 8, |
| "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": 6.5411433916416e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|