| { | |
| "best_metric": 0.11736678332090378, | |
| "best_model_checkpoint": "./vit-police-vs-public/checkpoint-40", | |
| "epoch": 3.076923076923077, | |
| "global_step": 40, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 0.00016153846153846155, | |
| "loss": 0.3601, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.9709302325581395, | |
| "eval_loss": 0.13621753454208374, | |
| "eval_runtime": 110.3877, | |
| "eval_samples_per_second": 1.558, | |
| "eval_steps_per_second": 0.199, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 0.0001230769230769231, | |
| "loss": 0.1348, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "eval_accuracy": 0.9651162790697675, | |
| "eval_loss": 0.09863447397947311, | |
| "eval_runtime": 115.0417, | |
| "eval_samples_per_second": 1.495, | |
| "eval_steps_per_second": 0.191, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 8.461538461538461e-05, | |
| "loss": 0.0707, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "eval_accuracy": 0.9941860465116279, | |
| "eval_loss": 0.04162357747554779, | |
| "eval_runtime": 111.62, | |
| "eval_samples_per_second": 1.541, | |
| "eval_steps_per_second": 0.197, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "learning_rate": 4.615384615384616e-05, | |
| "loss": 0.0307, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "eval_accuracy": 0.9651162790697675, | |
| "eval_loss": 0.11736678332090378, | |
| "eval_runtime": 111.6017, | |
| "eval_samples_per_second": 1.541, | |
| "eval_steps_per_second": 0.197, | |
| "step": 40 | |
| } | |
| ], | |
| "max_steps": 52, | |
| "num_train_epochs": 4, | |
| "total_flos": 4.727011366490112e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |