| { |
| "best_metric": 0.8957333333333334, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0195/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": 157.25726318359375, |
| "learning_rate": 7e-05, |
| "loss": 3.1632, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.6981333333333334, |
| "eval_loss": 1.3223464488983154, |
| "eval_runtime": 7.6303, |
| "eval_samples_per_second": 491.459, |
| "eval_steps_per_second": 7.732, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 77.81354522705078, |
| "learning_rate": 7e-05, |
| "loss": 0.7995, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8386666666666667, |
| "eval_loss": 0.5484474897384644, |
| "eval_runtime": 7.8047, |
| "eval_samples_per_second": 480.478, |
| "eval_steps_per_second": 7.56, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 58.8615837097168, |
| "learning_rate": 7e-05, |
| "loss": 0.4441, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8693333333333333, |
| "eval_loss": 0.4222109913825989, |
| "eval_runtime": 7.7806, |
| "eval_samples_per_second": 481.967, |
| "eval_steps_per_second": 7.583, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 75.31504821777344, |
| "learning_rate": 7e-05, |
| "loss": 0.3189, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8821333333333333, |
| "eval_loss": 0.38464999198913574, |
| "eval_runtime": 7.9631, |
| "eval_samples_per_second": 470.925, |
| "eval_steps_per_second": 7.409, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 144.9026336669922, |
| "learning_rate": 7e-05, |
| "loss": 0.2433, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8832, |
| "eval_loss": 0.37830787897109985, |
| "eval_runtime": 7.7532, |
| "eval_samples_per_second": 483.671, |
| "eval_steps_per_second": 7.61, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 71.94446563720703, |
| "learning_rate": 7e-05, |
| "loss": 0.1867, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.8957333333333334, |
| "eval_loss": 0.3544939458370209, |
| "eval_runtime": 7.7623, |
| "eval_samples_per_second": 483.105, |
| "eval_steps_per_second": 7.601, |
| "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 |
| } |
|
|