| { |
| "best_metric": 0.8488, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0142/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": 632.8224487304688, |
| "learning_rate": 6.666666666666667e-05, |
| "loss": 2.7355, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.7477333333333334, |
| "eval_loss": 1.0284777879714966, |
| "eval_runtime": 7.0473, |
| "eval_samples_per_second": 532.12, |
| "eval_steps_per_second": 8.372, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 81.30972290039062, |
| "learning_rate": 3.3333333333333335e-05, |
| "loss": 0.731, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8325333333333333, |
| "eval_loss": 0.5614563822746277, |
| "eval_runtime": 6.9463, |
| "eval_samples_per_second": 539.858, |
| "eval_steps_per_second": 8.494, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 175.75186157226562, |
| "learning_rate": 0.0, |
| "loss": 0.4629, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8488, |
| "eval_loss": 0.511075496673584, |
| "eval_runtime": 6.9377, |
| "eval_samples_per_second": 540.528, |
| "eval_steps_per_second": 8.504, |
| "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": 2.4529287718656e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
