| { | |
| "best_metric": 0.8701333333333333, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0439/checkpoints/checkpoint-2664", | |
| "epoch": 8.0, | |
| "eval_steps": 500, | |
| "global_step": 2664, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 44.446510314941406, | |
| "learning_rate": 0.0005, | |
| "loss": 1.347, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7952, | |
| "eval_loss": 0.641343891620636, | |
| "eval_runtime": 15.5252, | |
| "eval_samples_per_second": 241.542, | |
| "eval_steps_per_second": 3.8, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 31.018463134765625, | |
| "learning_rate": 0.0005, | |
| "loss": 0.5121, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8402666666666667, | |
| "eval_loss": 0.5077934861183167, | |
| "eval_runtime": 15.5044, | |
| "eval_samples_per_second": 241.867, | |
| "eval_steps_per_second": 3.805, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 31.085983276367188, | |
| "learning_rate": 0.0005, | |
| "loss": 0.3585, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8453333333333334, | |
| "eval_loss": 0.5144662261009216, | |
| "eval_runtime": 15.5219, | |
| "eval_samples_per_second": 241.595, | |
| "eval_steps_per_second": 3.801, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 28.263837814331055, | |
| "learning_rate": 0.0005, | |
| "loss": 0.2658, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8434666666666667, | |
| "eval_loss": 0.5081769824028015, | |
| "eval_runtime": 15.5636, | |
| "eval_samples_per_second": 240.946, | |
| "eval_steps_per_second": 3.791, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 20.936574935913086, | |
| "learning_rate": 0.0005, | |
| "loss": 0.2154, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8541333333333333, | |
| "eval_loss": 0.5146492719650269, | |
| "eval_runtime": 15.5803, | |
| "eval_samples_per_second": 240.689, | |
| "eval_steps_per_second": 3.787, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 23.12115478515625, | |
| "learning_rate": 0.0005, | |
| "loss": 0.1754, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8589333333333333, | |
| "eval_loss": 0.49113398790359497, | |
| "eval_runtime": 15.5748, | |
| "eval_samples_per_second": 240.774, | |
| "eval_steps_per_second": 3.788, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 22.891674041748047, | |
| "learning_rate": 0.0005, | |
| "loss": 0.1401, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8557333333333333, | |
| "eval_loss": 0.5404118299484253, | |
| "eval_runtime": 16.1147, | |
| "eval_samples_per_second": 232.706, | |
| "eval_steps_per_second": 3.661, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 28.590261459350586, | |
| "learning_rate": 0.0005, | |
| "loss": 0.1308, | |
| "step": 2664 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8701333333333333, | |
| "eval_loss": 0.5056899189949036, | |
| "eval_runtime": 15.7916, | |
| "eval_samples_per_second": 237.469, | |
| "eval_steps_per_second": 3.736, | |
| "step": 2664 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2997, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9, | |
| "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": 6.5411433916416e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |