| { | |
| "best_metric": 0.8952, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0953/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": 120.22265625, | |
| "learning_rate": 8.75e-05, | |
| "loss": 2.7673, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7578666666666667, | |
| "eval_loss": 0.9962217211723328, | |
| "eval_runtime": 7.7773, | |
| "eval_samples_per_second": 482.17, | |
| "eval_steps_per_second": 7.586, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 94.29248046875, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 0.7203, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8418666666666667, | |
| "eval_loss": 0.5253738164901733, | |
| "eval_runtime": 7.7176, | |
| "eval_samples_per_second": 485.9, | |
| "eval_steps_per_second": 7.645, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 46.7548942565918, | |
| "learning_rate": 6.25e-05, | |
| "loss": 0.4437, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8696, | |
| "eval_loss": 0.4451506435871124, | |
| "eval_runtime": 7.6892, | |
| "eval_samples_per_second": 487.697, | |
| "eval_steps_per_second": 7.673, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 189.05233764648438, | |
| "learning_rate": 5e-05, | |
| "loss": 0.3374, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8829333333333333, | |
| "eval_loss": 0.4018511474132538, | |
| "eval_runtime": 7.7355, | |
| "eval_samples_per_second": 484.777, | |
| "eval_steps_per_second": 7.627, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 68.28330993652344, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 0.2556, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8816, | |
| "eval_loss": 0.39204341173171997, | |
| "eval_runtime": 8.2562, | |
| "eval_samples_per_second": 454.205, | |
| "eval_steps_per_second": 7.146, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 77.26693725585938, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.2024, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8848, | |
| "eval_loss": 0.38335612416267395, | |
| "eval_runtime": 8.2858, | |
| "eval_samples_per_second": 452.581, | |
| "eval_steps_per_second": 7.121, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 55.462345123291016, | |
| "learning_rate": 1.25e-05, | |
| "loss": 0.1707, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8952, | |
| "eval_loss": 0.3578214943408966, | |
| "eval_runtime": 7.7688, | |
| "eval_samples_per_second": 482.698, | |
| "eval_steps_per_second": 7.594, | |
| "step": 2331 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2664, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 8, | |
| "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": 5.7235004676864e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |