| { | |
| "best_metric": 0.9568, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0176/checkpoints/checkpoint-1998", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 1998, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.34915345907211304, | |
| "learning_rate": 8.554359905560886e-05, | |
| "loss": 0.5851, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9349333333333333, | |
| "eval_loss": 0.23471485078334808, | |
| "eval_runtime": 7.6951, | |
| "eval_samples_per_second": 487.321, | |
| "eval_steps_per_second": 7.667, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.12741610407829285, | |
| "learning_rate": 7.305704108364301e-05, | |
| "loss": 0.1194, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9413333333333334, | |
| "eval_loss": 0.2188463807106018, | |
| "eval_runtime": 6.8653, | |
| "eval_samples_per_second": 546.223, | |
| "eval_steps_per_second": 8.594, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.029941780492663383, | |
| "learning_rate": 5.501344202803415e-05, | |
| "loss": 0.0529, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9474666666666667, | |
| "eval_loss": 0.21127639710903168, | |
| "eval_runtime": 7.3239, | |
| "eval_samples_per_second": 512.025, | |
| "eval_steps_per_second": 8.056, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.010094042867422104, | |
| "learning_rate": 3.498655797196586e-05, | |
| "loss": 0.0187, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9514666666666667, | |
| "eval_loss": 0.2051754891872406, | |
| "eval_runtime": 6.7984, | |
| "eval_samples_per_second": 551.598, | |
| "eval_steps_per_second": 8.678, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.032509926706552505, | |
| "learning_rate": 1.6942958916356995e-05, | |
| "loss": 0.0065, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9546666666666667, | |
| "eval_loss": 0.20179493725299835, | |
| "eval_runtime": 6.6414, | |
| "eval_samples_per_second": 564.642, | |
| "eval_steps_per_second": 8.884, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.04027043655514717, | |
| "learning_rate": 4.456400944391144e-06, | |
| "loss": 0.0034, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9568, | |
| "eval_loss": 0.20129036903381348, | |
| "eval_runtime": 7.0765, | |
| "eval_samples_per_second": 529.92, | |
| "eval_steps_per_second": 8.337, | |
| "step": 1998 | |
| } | |
| ], | |
| "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": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 9.88447923735552e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |