| { | |
| "best_metric": 0.8997333333333334, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0742/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": 70.2479019165039, | |
| "learning_rate": 9e-05, | |
| "loss": 2.6956, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.788, | |
| "eval_loss": 0.8131048083305359, | |
| "eval_runtime": 7.3188, | |
| "eval_samples_per_second": 512.379, | |
| "eval_steps_per_second": 8.061, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 139.388916015625, | |
| "learning_rate": 9e-05, | |
| "loss": 0.5933, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8565333333333334, | |
| "eval_loss": 0.46711465716362, | |
| "eval_runtime": 7.3261, | |
| "eval_samples_per_second": 511.871, | |
| "eval_steps_per_second": 8.053, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 84.93392944335938, | |
| "learning_rate": 9e-05, | |
| "loss": 0.3547, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8770666666666667, | |
| "eval_loss": 0.3996787369251251, | |
| "eval_runtime": 7.2063, | |
| "eval_samples_per_second": 520.379, | |
| "eval_steps_per_second": 8.187, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 113.6795654296875, | |
| "learning_rate": 9e-05, | |
| "loss": 0.2501, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8893333333333333, | |
| "eval_loss": 0.35488182306289673, | |
| "eval_runtime": 7.6304, | |
| "eval_samples_per_second": 491.453, | |
| "eval_steps_per_second": 7.732, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 83.28839111328125, | |
| "learning_rate": 9e-05, | |
| "loss": 0.183, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8970666666666667, | |
| "eval_loss": 0.33955541253089905, | |
| "eval_runtime": 7.3433, | |
| "eval_samples_per_second": 510.667, | |
| "eval_steps_per_second": 8.035, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 119.84217834472656, | |
| "learning_rate": 9e-05, | |
| "loss": 0.1392, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8973333333333333, | |
| "eval_loss": 0.35965728759765625, | |
| "eval_runtime": 7.1857, | |
| "eval_samples_per_second": 521.868, | |
| "eval_steps_per_second": 8.211, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 43.34016036987305, | |
| "learning_rate": 9e-05, | |
| "loss": 0.1028, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8968, | |
| "eval_loss": 0.3685609996318817, | |
| "eval_runtime": 7.1392, | |
| "eval_samples_per_second": 525.271, | |
| "eval_steps_per_second": 8.264, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 117.14539337158203, | |
| "learning_rate": 9e-05, | |
| "loss": 0.0757, | |
| "step": 2664 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8997333333333334, | |
| "eval_loss": 0.3570169508457184, | |
| "eval_runtime": 7.1838, | |
| "eval_samples_per_second": 522.011, | |
| "eval_steps_per_second": 8.213, | |
| "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 | |
| } | |