| { |
| "best_metric": 0.9421333333333334, |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0723/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": 0.19494444131851196, |
| "learning_rate": 0.00019999999999999998, |
| "loss": 0.5444, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.888, |
| "eval_loss": 0.3906439542770386, |
| "eval_runtime": 12.5643, |
| "eval_samples_per_second": 298.465, |
| "eval_steps_per_second": 4.696, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 1.78550386428833, |
| "learning_rate": 9.999999999999999e-05, |
| "loss": 0.1523, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.9117333333333333, |
| "eval_loss": 0.31936541199684143, |
| "eval_runtime": 12.4982, |
| "eval_samples_per_second": 300.044, |
| "eval_steps_per_second": 4.721, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 0.06124145910143852, |
| "learning_rate": 0.0, |
| "loss": 0.0389, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.9421333333333334, |
| "eval_loss": 0.2266964614391327, |
| "eval_runtime": 12.3663, |
| "eval_samples_per_second": 303.244, |
| "eval_steps_per_second": 4.771, |
| "step": 999 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 999, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 3, |
| "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": 4.94223961867776e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
