| { |
| "best_metric": 0.9498666666666666, |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0062/checkpoints/checkpoint-999", |
| "epoch": 3.0, |
| "eval_steps": 500, |
| "global_step": 999, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 0.4875028431415558, |
| "learning_rate": 4.267766952966369e-05, |
| "loss": 0.8288, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.9389333333333333, |
| "eval_loss": 0.22816155850887299, |
| "eval_runtime": 12.631, |
| "eval_samples_per_second": 296.889, |
| "eval_steps_per_second": 4.671, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 0.4046284854412079, |
| "learning_rate": 2.5e-05, |
| "loss": 0.1178, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.9469333333333333, |
| "eval_loss": 0.18765142560005188, |
| "eval_runtime": 12.4524, |
| "eval_samples_per_second": 301.147, |
| "eval_steps_per_second": 4.738, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 0.151630237698555, |
| "learning_rate": 7.3223304703363135e-06, |
| "loss": 0.0362, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.9498666666666666, |
| "eval_loss": 0.17779065668582916, |
| "eval_runtime": 12.0357, |
| "eval_samples_per_second": 311.572, |
| "eval_steps_per_second": 4.902, |
| "step": 999 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 1332, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 4, |
| "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": 4.94223961867776e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
