| { |
| "best_metric": 0.3253333333333333, |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0100/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": 13.093133926391602, |
| "learning_rate": 0.00037703697382099235, |
| "loss": 3.2955, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.1824, |
| "eval_loss": 3.0269150733947754, |
| "eval_runtime": 6.8226, |
| "eval_samples_per_second": 549.641, |
| "eval_steps_per_second": 8.648, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 23.852447509765625, |
| "learning_rate": 0.00012704809928338955, |
| "loss": 2.7091, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.2789333333333333, |
| "eval_loss": 2.5878708362579346, |
| "eval_runtime": 6.6638, |
| "eval_samples_per_second": 562.738, |
| "eval_steps_per_second": 8.854, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 20.586896896362305, |
| "learning_rate": 1.1125462397260089e-08, |
| "loss": 2.3852, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.3253333333333333, |
| "eval_loss": 2.437152624130249, |
| "eval_runtime": 6.7757, |
| "eval_samples_per_second": 553.445, |
| "eval_steps_per_second": 8.708, |
| "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 |
| } |
|
|
