| { |
| "best_metric": 0.9064, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0868/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": 101.3674087524414, |
| "learning_rate": 7e-05, |
| "loss": 3.1831, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.7005333333333333, |
| "eval_loss": 1.5176186561584473, |
| "eval_runtime": 8.4113, |
| "eval_samples_per_second": 445.826, |
| "eval_steps_per_second": 7.014, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 146.1080780029297, |
| "learning_rate": 7e-05, |
| "loss": 0.8692, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8450666666666666, |
| "eval_loss": 0.5522176027297974, |
| "eval_runtime": 7.809, |
| "eval_samples_per_second": 480.214, |
| "eval_steps_per_second": 7.555, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 58.24928665161133, |
| "learning_rate": 7e-05, |
| "loss": 0.49, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8765333333333334, |
| "eval_loss": 0.4139595329761505, |
| "eval_runtime": 7.8359, |
| "eval_samples_per_second": 478.565, |
| "eval_steps_per_second": 7.529, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 289.7763977050781, |
| "learning_rate": 7e-05, |
| "loss": 0.3473, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8837333333333334, |
| "eval_loss": 0.3747752904891968, |
| "eval_runtime": 7.8462, |
| "eval_samples_per_second": 477.939, |
| "eval_steps_per_second": 7.52, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 102.9919204711914, |
| "learning_rate": 7e-05, |
| "loss": 0.2646, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.9029333333333334, |
| "eval_loss": 0.32736802101135254, |
| "eval_runtime": 7.7608, |
| "eval_samples_per_second": 483.201, |
| "eval_steps_per_second": 7.602, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 114.98345947265625, |
| "learning_rate": 7e-05, |
| "loss": 0.1936, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.9045333333333333, |
| "eval_loss": 0.33243605494499207, |
| "eval_runtime": 7.8075, |
| "eval_samples_per_second": 480.31, |
| "eval_steps_per_second": 7.557, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 118.31366729736328, |
| "learning_rate": 7e-05, |
| "loss": 0.1606, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.9061333333333333, |
| "eval_loss": 0.31925544142723083, |
| "eval_runtime": 7.734, |
| "eval_samples_per_second": 484.874, |
| "eval_steps_per_second": 7.629, |
| "step": 2331 |
| }, |
| { |
| "epoch": 8.0, |
| "grad_norm": 95.88990783691406, |
| "learning_rate": 7e-05, |
| "loss": 0.118, |
| "step": 2664 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.9064, |
| "eval_loss": 0.3418484926223755, |
| "eval_runtime": 7.7749, |
| "eval_samples_per_second": 482.32, |
| "eval_steps_per_second": 7.589, |
| "step": 2664 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 2997, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 9, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 6.5411433916416e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|