| { | |
| "best_metric": 0.8141333333333334, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0523/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": 2.342272996902466, | |
| "learning_rate": 0.0005, | |
| "loss": 0.8065, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8050666666666667, | |
| "eval_loss": 0.6681233644485474, | |
| "eval_runtime": 11.9145, | |
| "eval_samples_per_second": 314.742, | |
| "eval_steps_per_second": 4.952, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 3.170287609100342, | |
| "learning_rate": 0.0005, | |
| "loss": 0.4701, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.804, | |
| "eval_loss": 0.6621232032775879, | |
| "eval_runtime": 12.531, | |
| "eval_samples_per_second": 299.257, | |
| "eval_steps_per_second": 4.708, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.11773886531591415, | |
| "learning_rate": 0.0005, | |
| "loss": 0.361, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8114666666666667, | |
| "eval_loss": 0.6438528895378113, | |
| "eval_runtime": 12.4548, | |
| "eval_samples_per_second": 301.089, | |
| "eval_steps_per_second": 4.737, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.14866693317890167, | |
| "learning_rate": 0.0005, | |
| "loss": 0.2886, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8064, | |
| "eval_loss": 0.7290054559707642, | |
| "eval_runtime": 12.4217, | |
| "eval_samples_per_second": 301.892, | |
| "eval_steps_per_second": 4.75, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 2.366384744644165, | |
| "learning_rate": 0.0005, | |
| "loss": 0.2556, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7888, | |
| "eval_loss": 0.8275426030158997, | |
| "eval_runtime": 12.0973, | |
| "eval_samples_per_second": 309.986, | |
| "eval_steps_per_second": 4.877, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.04820892587304115, | |
| "learning_rate": 0.0005, | |
| "loss": 0.2244, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8141333333333334, | |
| "eval_loss": 0.7116718888282776, | |
| "eval_runtime": 13.0803, | |
| "eval_samples_per_second": 286.692, | |
| "eval_steps_per_second": 4.511, | |
| "step": 1998 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1998, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 6, | |
| "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": 9.88447923735552e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |