| { | |
| "best_metric": 0.9026666666666666, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0181/checkpoints/checkpoint-2331", | |
| "epoch": 7.0, | |
| "eval_steps": 500, | |
| "global_step": 2331, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 11.313546180725098, | |
| "learning_rate": 3e-05, | |
| "loss": 0.7835, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.884, | |
| "eval_loss": 0.37668731808662415, | |
| "eval_runtime": 7.0221, | |
| "eval_samples_per_second": 534.028, | |
| "eval_steps_per_second": 8.402, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.04086972028017044, | |
| "learning_rate": 3e-05, | |
| "loss": 0.1784, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8976, | |
| "eval_loss": 0.3577789068222046, | |
| "eval_runtime": 6.7331, | |
| "eval_samples_per_second": 556.954, | |
| "eval_steps_per_second": 8.763, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.07929404079914093, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0793, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9005333333333333, | |
| "eval_loss": 0.3566098213195801, | |
| "eval_runtime": 7.3776, | |
| "eval_samples_per_second": 508.293, | |
| "eval_steps_per_second": 7.997, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.12470819056034088, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0537, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9008, | |
| "eval_loss": 0.38357973098754883, | |
| "eval_runtime": 7.2697, | |
| "eval_samples_per_second": 515.843, | |
| "eval_steps_per_second": 8.116, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.1567668467760086, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0391, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9013333333333333, | |
| "eval_loss": 0.38224485516548157, | |
| "eval_runtime": 6.8817, | |
| "eval_samples_per_second": 544.922, | |
| "eval_steps_per_second": 8.573, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 1.7451837062835693, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0347, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8994666666666666, | |
| "eval_loss": 0.42451655864715576, | |
| "eval_runtime": 6.858, | |
| "eval_samples_per_second": 546.81, | |
| "eval_steps_per_second": 8.603, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 0.3251921534538269, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0271, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9026666666666666, | |
| "eval_loss": 0.43378138542175293, | |
| "eval_runtime": 7.8096, | |
| "eval_samples_per_second": 480.179, | |
| "eval_steps_per_second": 7.555, | |
| "step": 2331 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2331, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 7, | |
| "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": 1.153189244358144e+19, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |