| { | |
| "best_metric": 0.892, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0473/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": 64.9155044555664, | |
| "learning_rate": 7e-05, | |
| "loss": 3.1803, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6741333333333334, | |
| "eval_loss": 1.432660698890686, | |
| "eval_runtime": 8.1944, | |
| "eval_samples_per_second": 457.631, | |
| "eval_steps_per_second": 7.2, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 51.79361343383789, | |
| "learning_rate": 7e-05, | |
| "loss": 0.8427, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8346666666666667, | |
| "eval_loss": 0.5580233335494995, | |
| "eval_runtime": 7.3968, | |
| "eval_samples_per_second": 506.973, | |
| "eval_steps_per_second": 7.976, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 147.0055389404297, | |
| "learning_rate": 7e-05, | |
| "loss": 0.4803, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8656, | |
| "eval_loss": 0.4396216869354248, | |
| "eval_runtime": 7.3839, | |
| "eval_samples_per_second": 507.864, | |
| "eval_steps_per_second": 7.99, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 66.55233001708984, | |
| "learning_rate": 7e-05, | |
| "loss": 0.3317, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8776, | |
| "eval_loss": 0.40195780992507935, | |
| "eval_runtime": 7.4143, | |
| "eval_samples_per_second": 505.779, | |
| "eval_steps_per_second": 7.958, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 160.28334045410156, | |
| "learning_rate": 7e-05, | |
| "loss": 0.2576, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8861333333333333, | |
| "eval_loss": 0.3800772726535797, | |
| "eval_runtime": 7.5175, | |
| "eval_samples_per_second": 498.834, | |
| "eval_steps_per_second": 7.848, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 91.19947052001953, | |
| "learning_rate": 7e-05, | |
| "loss": 0.1951, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8904, | |
| "eval_loss": 0.37971895933151245, | |
| "eval_runtime": 7.512, | |
| "eval_samples_per_second": 499.202, | |
| "eval_steps_per_second": 7.854, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 72.50609588623047, | |
| "learning_rate": 7e-05, | |
| "loss": 0.1578, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.892, | |
| "eval_loss": 0.36846038699150085, | |
| "eval_runtime": 7.2064, | |
| "eval_samples_per_second": 520.374, | |
| "eval_steps_per_second": 8.187, | |
| "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 | |
| } | |