| { | |
| "best_metric": 0.9437333333333333, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0919/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": 1.4914759397506714, | |
| "learning_rate": 4.8096988312782174e-05, | |
| "loss": 0.8682, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9221333333333334, | |
| "eval_loss": 0.26893118023872375, | |
| "eval_runtime": 4.6675, | |
| "eval_samples_per_second": 803.431, | |
| "eval_steps_per_second": 12.641, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 4.751140117645264, | |
| "learning_rate": 4.267766952966369e-05, | |
| "loss": 0.1589, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9344, | |
| "eval_loss": 0.2224694937467575, | |
| "eval_runtime": 4.655, | |
| "eval_samples_per_second": 805.583, | |
| "eval_steps_per_second": 12.675, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.054097067564725876, | |
| "learning_rate": 3.456708580912725e-05, | |
| "loss": 0.0717, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9357333333333333, | |
| "eval_loss": 0.23097339272499084, | |
| "eval_runtime": 4.5657, | |
| "eval_samples_per_second": 821.348, | |
| "eval_steps_per_second": 12.923, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.057016536593437195, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.0331, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9389333333333333, | |
| "eval_loss": 0.23120594024658203, | |
| "eval_runtime": 4.6004, | |
| "eval_samples_per_second": 815.154, | |
| "eval_steps_per_second": 12.825, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.01529560424387455, | |
| "learning_rate": 1.5432914190872757e-05, | |
| "loss": 0.0135, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9416, | |
| "eval_loss": 0.22757594287395477, | |
| "eval_runtime": 4.5475, | |
| "eval_samples_per_second": 824.624, | |
| "eval_steps_per_second": 12.974, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.0630682185292244, | |
| "learning_rate": 7.3223304703363135e-06, | |
| "loss": 0.0067, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9437333333333333, | |
| "eval_loss": 0.22726932168006897, | |
| "eval_runtime": 4.7516, | |
| "eval_samples_per_second": 789.206, | |
| "eval_steps_per_second": 12.417, | |
| "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 | |
| } | |