| { | |
| "best_metric": 0.8898666666666667, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0838/checkpoints/checkpoint-2331", | |
| "epoch": 7.0, | |
| "eval_steps": 500, | |
| "global_step": 2331, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 171.59881591796875, | |
| "learning_rate": 8.571428571428571e-05, | |
| "loss": 2.9072, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6781333333333334, | |
| "eval_loss": 1.3353562355041504, | |
| "eval_runtime": 9.1091, | |
| "eval_samples_per_second": 411.676, | |
| "eval_steps_per_second": 6.477, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 106.56681823730469, | |
| "learning_rate": 7.142857142857143e-05, | |
| "loss": 0.8456, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8306666666666667, | |
| "eval_loss": 0.6036928296089172, | |
| "eval_runtime": 8.0823, | |
| "eval_samples_per_second": 463.977, | |
| "eval_steps_per_second": 7.3, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 82.1512451171875, | |
| "learning_rate": 5.714285714285714e-05, | |
| "loss": 0.501, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8597333333333333, | |
| "eval_loss": 0.4776412546634674, | |
| "eval_runtime": 8.026, | |
| "eval_samples_per_second": 467.231, | |
| "eval_steps_per_second": 7.351, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 147.7592315673828, | |
| "learning_rate": 4.2857142857142856e-05, | |
| "loss": 0.3849, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8717333333333334, | |
| "eval_loss": 0.44812992215156555, | |
| "eval_runtime": 8.0869, | |
| "eval_samples_per_second": 463.71, | |
| "eval_steps_per_second": 7.296, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 200.98806762695312, | |
| "learning_rate": 2.857142857142857e-05, | |
| "loss": 0.3041, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8848, | |
| "eval_loss": 0.40260910987854004, | |
| "eval_runtime": 8.0503, | |
| "eval_samples_per_second": 465.819, | |
| "eval_steps_per_second": 7.329, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 59.4629020690918, | |
| "learning_rate": 1.4285714285714285e-05, | |
| "loss": 0.2589, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8773333333333333, | |
| "eval_loss": 0.41696789860725403, | |
| "eval_runtime": 8.0775, | |
| "eval_samples_per_second": 464.255, | |
| "eval_steps_per_second": 7.304, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 52.43292999267578, | |
| "learning_rate": 0.0, | |
| "loss": 0.239, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8898666666666667, | |
| "eval_loss": 0.39091062545776367, | |
| "eval_runtime": 8.0432, | |
| "eval_samples_per_second": 466.234, | |
| "eval_steps_per_second": 7.335, | |
| "step": 2331 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2331, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 7, | |
| "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": 5.7235004676864e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |