{ "best_metric": 1.6337087154388428, "best_model_checkpoint": "100_butterfly_types_image_detection/checkpoint-3465", "epoch": 15.0, "eval_steps": 500, "global_step": 3465, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.6621319796954315, "eval_loss": 4.154695987701416, "eval_runtime": 40.6748, "eval_samples_per_second": 121.082, "eval_steps_per_second": 3.786, "step": 231 }, { "epoch": 2.0, "eval_accuracy": 0.8588832487309644, "eval_loss": 3.608853578567505, "eval_runtime": 41.7835, "eval_samples_per_second": 117.87, "eval_steps_per_second": 3.686, "step": 462 }, { "epoch": 2.16, "learning_rate": 8.682284040995608e-06, "loss": 4.077, "step": 500 }, { "epoch": 3.0, "eval_accuracy": 0.8895431472081218, "eval_loss": 3.190139055252075, "eval_runtime": 42.0486, "eval_samples_per_second": 117.126, "eval_steps_per_second": 3.662, "step": 693 }, { "epoch": 4.0, "eval_accuracy": 0.9043654822335025, "eval_loss": 2.8671975135803223, "eval_runtime": 40.6122, "eval_samples_per_second": 121.269, "eval_steps_per_second": 3.792, "step": 924 }, { "epoch": 4.33, "learning_rate": 7.218155197657395e-06, "loss": 3.0689, "step": 1000 }, { "epoch": 5.0, "eval_accuracy": 0.9147208121827411, "eval_loss": 2.606879472732544, "eval_runtime": 40.6663, "eval_samples_per_second": 121.108, "eval_steps_per_second": 3.787, "step": 1155 }, { "epoch": 6.0, "eval_accuracy": 0.9224365482233503, "eval_loss": 2.3912792205810547, "eval_runtime": 40.5166, "eval_samples_per_second": 121.555, "eval_steps_per_second": 3.801, "step": 1386 }, { "epoch": 6.49, "learning_rate": 5.754026354319181e-06, "loss": 2.4547, "step": 1500 }, { "epoch": 7.0, "eval_accuracy": 0.926497461928934, "eval_loss": 2.2159242630004883, "eval_runtime": 40.4069, "eval_samples_per_second": 121.885, "eval_steps_per_second": 3.811, "step": 1617 }, { "epoch": 8.0, "eval_accuracy": 0.9279187817258884, "eval_loss": 2.0654704570770264, "eval_runtime": 40.4645, "eval_samples_per_second": 121.712, "eval_steps_per_second": 3.806, "step": 1848 }, { "epoch": 8.66, "learning_rate": 4.2898975109809665e-06, "loss": 2.0536, "step": 2000 }, { "epoch": 9.0, "eval_accuracy": 0.9315736040609137, "eval_loss": 1.9445736408233643, "eval_runtime": 40.3369, "eval_samples_per_second": 122.097, "eval_steps_per_second": 3.818, "step": 2079 }, { "epoch": 10.0, "eval_accuracy": 0.9344162436548223, "eval_loss": 1.8448750972747803, "eval_runtime": 40.5843, "eval_samples_per_second": 121.352, "eval_steps_per_second": 3.795, "step": 2310 }, { "epoch": 10.82, "learning_rate": 2.8257686676427524e-06, "loss": 1.7868, "step": 2500 }, { "epoch": 11.0, "eval_accuracy": 0.9354314720812182, "eval_loss": 1.7672532796859741, "eval_runtime": 56.2336, "eval_samples_per_second": 87.581, "eval_steps_per_second": 2.739, "step": 2541 }, { "epoch": 12.0, "eval_accuracy": 0.9403045685279188, "eval_loss": 1.707955241203308, "eval_runtime": 40.1259, "eval_samples_per_second": 122.739, "eval_steps_per_second": 3.838, "step": 2772 }, { "epoch": 12.99, "learning_rate": 1.361639824304539e-06, "loss": 1.6272, "step": 3000 }, { "epoch": 13.0, "eval_accuracy": 0.9421319796954315, "eval_loss": 1.6671137809753418, "eval_runtime": 40.247, "eval_samples_per_second": 122.369, "eval_steps_per_second": 3.826, "step": 3003 }, { "epoch": 14.0, "eval_accuracy": 0.9423350253807107, "eval_loss": 1.642307162284851, "eval_runtime": 40.3588, "eval_samples_per_second": 122.03, "eval_steps_per_second": 3.816, "step": 3234 }, { "epoch": 15.0, "eval_accuracy": 0.9421319796954315, "eval_loss": 1.6337087154388428, "eval_runtime": 45.9397, "eval_samples_per_second": 107.206, "eval_steps_per_second": 3.352, "step": 3465 } ], "logging_steps": 500, "max_steps": 3465, "num_train_epochs": 15, "save_steps": 500, "total_flos": 1.7189247003522048e+19, "trial_name": null, "trial_params": null }