| { | |
| "best_metric": 0.9010666666666667, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0622/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": 68.05856323242188, | |
| "learning_rate": 0.0004809698831278217, | |
| "loss": 1.387, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8293333333333334, | |
| "eval_loss": 0.5948890447616577, | |
| "eval_runtime": 7.5564, | |
| "eval_samples_per_second": 496.266, | |
| "eval_steps_per_second": 7.808, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 102.17045593261719, | |
| "learning_rate": 0.00042677669529663686, | |
| "loss": 0.4731, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8469333333333333, | |
| "eval_loss": 0.5295273065567017, | |
| "eval_runtime": 7.4246, | |
| "eval_samples_per_second": 505.08, | |
| "eval_steps_per_second": 7.947, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 28.552093505859375, | |
| "learning_rate": 0.0003456708580912725, | |
| "loss": 0.2744, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8741333333333333, | |
| "eval_loss": 0.442254900932312, | |
| "eval_runtime": 7.4193, | |
| "eval_samples_per_second": 505.436, | |
| "eval_steps_per_second": 7.952, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 26.617876052856445, | |
| "learning_rate": 0.00025, | |
| "loss": 0.1538, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8752, | |
| "eval_loss": 0.4343659579753876, | |
| "eval_runtime": 7.4436, | |
| "eval_samples_per_second": 503.786, | |
| "eval_steps_per_second": 7.926, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 25.32646369934082, | |
| "learning_rate": 0.00015432914190872756, | |
| "loss": 0.085, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8853333333333333, | |
| "eval_loss": 0.4687633514404297, | |
| "eval_runtime": 7.4638, | |
| "eval_samples_per_second": 502.422, | |
| "eval_steps_per_second": 7.905, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 21.33710479736328, | |
| "learning_rate": 7.322330470336314e-05, | |
| "loss": 0.0486, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9, | |
| "eval_loss": 0.408098965883255, | |
| "eval_runtime": 7.8513, | |
| "eval_samples_per_second": 477.629, | |
| "eval_steps_per_second": 7.515, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 28.018333435058594, | |
| "learning_rate": 1.9030116872178316e-05, | |
| "loss": 0.0307, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9010666666666667, | |
| "eval_loss": 0.42140933871269226, | |
| "eval_runtime": 7.4751, | |
| "eval_samples_per_second": 501.668, | |
| "eval_steps_per_second": 7.893, | |
| "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 | |
| } | |