| { |
| "best_metric": 0.9493333333333334, |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0624/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": 0.3521270751953125, |
| "learning_rate": 9.330127018922194e-05, |
| "loss": 0.5854, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.9237333333333333, |
| "eval_loss": 0.25909486413002014, |
| "eval_runtime": 7.3007, |
| "eval_samples_per_second": 513.649, |
| "eval_steps_per_second": 8.081, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 6.727205753326416, |
| "learning_rate": 7.500000000000001e-05, |
| "loss": 0.1202, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.9306666666666666, |
| "eval_loss": 0.23177491128444672, |
| "eval_runtime": 7.3516, |
| "eval_samples_per_second": 510.093, |
| "eval_steps_per_second": 8.025, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 0.042666733264923096, |
| "learning_rate": 5e-05, |
| "loss": 0.0491, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.9416, |
| "eval_loss": 0.2100265920162201, |
| "eval_runtime": 7.1264, |
| "eval_samples_per_second": 526.21, |
| "eval_steps_per_second": 8.279, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 0.05381520837545395, |
| "learning_rate": 2.500000000000001e-05, |
| "loss": 0.0149, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.9458666666666666, |
| "eval_loss": 0.2072855830192566, |
| "eval_runtime": 7.4919, |
| "eval_samples_per_second": 500.541, |
| "eval_steps_per_second": 7.875, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 0.0171403456479311, |
| "learning_rate": 6.698729810778065e-06, |
| "loss": 0.0047, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.9485333333333333, |
| "eval_loss": 0.1989789456129074, |
| "eval_runtime": 7.8989, |
| "eval_samples_per_second": 474.751, |
| "eval_steps_per_second": 7.469, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 0.031138712540268898, |
| "learning_rate": 0.0, |
| "loss": 0.0029, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.9493333333333334, |
| "eval_loss": 0.1952938437461853, |
| "eval_runtime": 7.4344, |
| "eval_samples_per_second": 504.411, |
| "eval_steps_per_second": 7.936, |
| "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 |
| } |
|
|