| { |
| "best_metric": 0.8336, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0138/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": 170.1170196533203, |
| "learning_rate": 4.375e-05, |
| "loss": 3.7295, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.4176, |
| "eval_loss": 3.2697651386260986, |
| "eval_runtime": 15.2253, |
| "eval_samples_per_second": 246.301, |
| "eval_steps_per_second": 3.875, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 244.08221435546875, |
| "learning_rate": 3.7500000000000003e-05, |
| "loss": 2.1065, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.6824, |
| "eval_loss": 1.2888131141662598, |
| "eval_runtime": 15.2954, |
| "eval_samples_per_second": 245.172, |
| "eval_steps_per_second": 3.857, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 193.1626739501953, |
| "learning_rate": 3.125e-05, |
| "loss": 1.0711, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.7618666666666667, |
| "eval_loss": 0.8568252325057983, |
| "eval_runtime": 15.2329, |
| "eval_samples_per_second": 246.178, |
| "eval_steps_per_second": 3.873, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 91.25299072265625, |
| "learning_rate": 2.5e-05, |
| "loss": 0.7981, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.7986666666666666, |
| "eval_loss": 0.693415641784668, |
| "eval_runtime": 15.23, |
| "eval_samples_per_second": 246.225, |
| "eval_steps_per_second": 3.874, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 119.0737075805664, |
| "learning_rate": 1.8750000000000002e-05, |
| "loss": 0.6736, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8098666666666666, |
| "eval_loss": 0.6269340515136719, |
| "eval_runtime": 15.2027, |
| "eval_samples_per_second": 246.667, |
| "eval_steps_per_second": 3.881, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 151.48049926757812, |
| "learning_rate": 1.25e-05, |
| "loss": 0.5959, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8269333333333333, |
| "eval_loss": 0.5765226483345032, |
| "eval_runtime": 15.1672, |
| "eval_samples_per_second": 247.244, |
| "eval_steps_per_second": 3.89, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 125.43296813964844, |
| "learning_rate": 6.25e-06, |
| "loss": 0.5647, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.828, |
| "eval_loss": 0.5699335932731628, |
| "eval_runtime": 15.1765, |
| "eval_samples_per_second": 247.093, |
| "eval_steps_per_second": 3.888, |
| "step": 2331 |
| }, |
| { |
| "epoch": 8.0, |
| "grad_norm": 183.90872192382812, |
| "learning_rate": 0.0, |
| "loss": 0.5301, |
| "step": 2664 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.8336, |
| "eval_loss": 0.5400943160057068, |
| "eval_runtime": 15.1896, |
| "eval_samples_per_second": 246.88, |
| "eval_steps_per_second": 3.884, |
| "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 |
| } |
|
|