| { | |
| "best_metric": 0.9661016949152542, | |
| "best_model_checkpoint": "swin-tiny-patch4-window7-224-finetuned-eurosat/checkpoint-4", | |
| "epoch": 2.8235294117647056, | |
| "eval_steps": 500, | |
| "global_step": 12, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.9661016949152542, | |
| "eval_loss": 0.13184800744056702, | |
| "eval_runtime": 3.5686, | |
| "eval_samples_per_second": 16.533, | |
| "eval_steps_per_second": 0.56, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "eval_accuracy": 0.9661016949152542, | |
| "eval_loss": 0.09857799857854843, | |
| "eval_runtime": 3.4474, | |
| "eval_samples_per_second": 17.114, | |
| "eval_steps_per_second": 0.58, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "grad_norm": 5.057217597961426, | |
| "learning_rate": 1e-05, | |
| "loss": 0.1962, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.82, | |
| "eval_accuracy": 0.9661016949152542, | |
| "eval_loss": 0.07661445438861847, | |
| "eval_runtime": 4.4174, | |
| "eval_samples_per_second": 13.356, | |
| "eval_steps_per_second": 0.453, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 2.82, | |
| "step": 12, | |
| "total_flos": 3.7283983478784e+16, | |
| "train_loss": 0.18169777592023215, | |
| "train_runtime": 137.0663, | |
| "train_samples_per_second": 11.513, | |
| "train_steps_per_second": 0.088 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 12, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 3.7283983478784e+16, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |