| { |
| "best_metric": 0.86, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0733/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": 74.54644775390625, |
| "learning_rate": 4.166666666666667e-05, |
| "loss": 3.6941, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.5018666666666667, |
| "eval_loss": 3.1740572452545166, |
| "eval_runtime": 7.317, |
| "eval_samples_per_second": 512.504, |
| "eval_steps_per_second": 8.063, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 124.19330596923828, |
| "learning_rate": 3.3333333333333335e-05, |
| "loss": 1.9204, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.7525333333333334, |
| "eval_loss": 1.0439846515655518, |
| "eval_runtime": 7.3959, |
| "eval_samples_per_second": 507.041, |
| "eval_steps_per_second": 7.977, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 95.4197006225586, |
| "learning_rate": 2.5e-05, |
| "loss": 0.861, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8274666666666667, |
| "eval_loss": 0.6555474400520325, |
| "eval_runtime": 7.0297, |
| "eval_samples_per_second": 533.451, |
| "eval_steps_per_second": 8.393, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 93.04365539550781, |
| "learning_rate": 1.6666666666666667e-05, |
| "loss": 0.6281, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8466666666666667, |
| "eval_loss": 0.5427197217941284, |
| "eval_runtime": 7.1789, |
| "eval_samples_per_second": 522.367, |
| "eval_steps_per_second": 8.219, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 48.07441329956055, |
| "learning_rate": 8.333333333333334e-06, |
| "loss": 0.5376, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8584, |
| "eval_loss": 0.5122101306915283, |
| "eval_runtime": 7.0997, |
| "eval_samples_per_second": 528.188, |
| "eval_steps_per_second": 8.31, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 115.93987274169922, |
| "learning_rate": 0.0, |
| "loss": 0.4938, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.86, |
| "eval_loss": 0.4956072270870209, |
| "eval_runtime": 7.0131, |
| "eval_samples_per_second": 534.712, |
| "eval_steps_per_second": 8.413, |
| "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 |
| } |
|
|