| { | |
| "best_metric": 0.9456, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0786/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": 0.2746707797050476, | |
| "learning_rate": 9.619397662556435e-05, | |
| "loss": 0.6088, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.928, | |
| "eval_loss": 0.23748891055583954, | |
| "eval_runtime": 5.3319, | |
| "eval_samples_per_second": 703.318, | |
| "eval_steps_per_second": 11.066, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.08713909983634949, | |
| "learning_rate": 8.535533905932738e-05, | |
| "loss": 0.1194, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9290666666666667, | |
| "eval_loss": 0.24468694627285004, | |
| "eval_runtime": 5.394, | |
| "eval_samples_per_second": 695.216, | |
| "eval_steps_per_second": 10.938, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.032173290848731995, | |
| "learning_rate": 6.91341716182545e-05, | |
| "loss": 0.0541, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9336, | |
| "eval_loss": 0.25124552845954895, | |
| "eval_runtime": 5.3687, | |
| "eval_samples_per_second": 698.492, | |
| "eval_steps_per_second": 10.99, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.018000254407525063, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0174, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9434666666666667, | |
| "eval_loss": 0.23462770879268646, | |
| "eval_runtime": 5.3394, | |
| "eval_samples_per_second": 702.33, | |
| "eval_steps_per_second": 11.05, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.008777188137173653, | |
| "learning_rate": 3.086582838174551e-05, | |
| "loss": 0.005, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9418666666666666, | |
| "eval_loss": 0.24184514582157135, | |
| "eval_runtime": 5.3981, | |
| "eval_samples_per_second": 694.695, | |
| "eval_steps_per_second": 10.93, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.007952984422445297, | |
| "learning_rate": 1.4644660940672627e-05, | |
| "loss": 0.0018, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9456, | |
| "eval_loss": 0.2381117343902588, | |
| "eval_runtime": 5.3429, | |
| "eval_samples_per_second": 701.871, | |
| "eval_steps_per_second": 11.043, | |
| "step": 1998 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2664, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 8, | |
| "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 | |
| } | |