| { |
| "best_metric": 0.7288, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0361/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": 82.5856704711914, |
| "learning_rate": 2.7990381056766583e-05, |
| "loss": 3.8468, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.33973333333333333, |
| "eval_loss": 3.759275436401367, |
| "eval_runtime": 8.067, |
| "eval_samples_per_second": 464.858, |
| "eval_steps_per_second": 7.314, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 132.63768005371094, |
| "learning_rate": 2.25e-05, |
| "loss": 3.283, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.5269333333333334, |
| "eval_loss": 2.723909378051758, |
| "eval_runtime": 8.0544, |
| "eval_samples_per_second": 465.585, |
| "eval_steps_per_second": 7.325, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 243.7537841796875, |
| "learning_rate": 1.5e-05, |
| "loss": 2.1345, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.648, |
| "eval_loss": 1.7104169130325317, |
| "eval_runtime": 8.0207, |
| "eval_samples_per_second": 467.541, |
| "eval_steps_per_second": 7.356, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 453.5697326660156, |
| "learning_rate": 7.500000000000004e-06, |
| "loss": 1.5032, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.7184, |
| "eval_loss": 1.2958998680114746, |
| "eval_runtime": 8.0431, |
| "eval_samples_per_second": 466.237, |
| "eval_steps_per_second": 7.335, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 242.99021911621094, |
| "learning_rate": 2.0096189432334194e-06, |
| "loss": 1.2844, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.7261333333333333, |
| "eval_loss": 1.1939525604248047, |
| "eval_runtime": 8.0137, |
| "eval_samples_per_second": 467.951, |
| "eval_steps_per_second": 7.362, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 208.60256958007812, |
| "learning_rate": 0.0, |
| "loss": 1.2209, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.7288, |
| "eval_loss": 1.1882296800613403, |
| "eval_runtime": 8.0635, |
| "eval_samples_per_second": 465.06, |
| "eval_steps_per_second": 7.317, |
| "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": 4.9058575437312e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
