{ "best_metric": 0.8407772378261645, "best_model_checkpoint": "checkpoint/CAP_roberta_lr5e-5_embdrop0.1_labelsmoothing0.1_balanced/checkpoint-1100", "epoch": 4.522096608427543, "global_step": 1100, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.41, "eval_accuracy": 0.7928023934364319, "eval_loss": 1.1060333251953125, "eval_macroPrec": 0.7617300562957272, "eval_macroRec": 0.7804989132215583, "eval_macrof1": 0.7624041375292132, "eval_runtime": 581.5836, "eval_samples_per_second": 53.177, "eval_steps_per_second": 3.324, "step": 100 }, { "epoch": 0.82, "eval_accuracy": 0.8181200623512268, "eval_loss": 1.0196324586868286, "eval_macroPrec": 0.7864785109728532, "eval_macroRec": 0.8026661148084082, "eval_macrof1": 0.7888372448488096, "eval_runtime": 581.7036, "eval_samples_per_second": 53.166, "eval_steps_per_second": 3.323, "step": 200 }, { "epoch": 1.23, "eval_accuracy": 0.8291783928871155, "eval_loss": 0.999952495098114, "eval_macroPrec": 0.8054333366415221, "eval_macroRec": 0.810411554185253, "eval_macrof1": 0.8048729185022913, "eval_runtime": 581.669, "eval_samples_per_second": 53.169, "eval_steps_per_second": 3.323, "step": 300 }, { "epoch": 1.64, "eval_accuracy": 0.83768230676651, "eval_loss": 0.9787802696228027, "eval_macroPrec": 0.8168532404676263, "eval_macroRec": 0.8195910229594843, "eval_macrof1": 0.8140468807730719, "eval_runtime": 581.6749, "eval_samples_per_second": 53.169, "eval_steps_per_second": 3.323, "step": 400 }, { "epoch": 2.06, "learning_rate": 5e-05, "loss": 1.2051, "step": 500 }, { "epoch": 2.06, "eval_accuracy": 0.8446018099784851, "eval_loss": 0.9603281021118164, "eval_macroPrec": 0.8141609394395297, "eval_macroRec": 0.8344439496827691, "eval_macrof1": 0.8204880440817254, "eval_runtime": 581.5182, "eval_samples_per_second": 53.183, "eval_steps_per_second": 3.324, "step": 500 }, { "epoch": 2.47, "eval_accuracy": 0.8457335233688354, "eval_loss": 0.9556291699409485, "eval_macroPrec": 0.8300101376455962, "eval_macroRec": 0.824375780701122, "eval_macrof1": 0.8250742223797913, "eval_runtime": 581.736, "eval_samples_per_second": 53.163, "eval_steps_per_second": 3.323, "step": 600 }, { "epoch": 2.88, "eval_accuracy": 0.8498399257659912, "eval_loss": 0.9379899501800537, "eval_macroPrec": 0.8295666021506038, "eval_macroRec": 0.8321904717387054, "eval_macrof1": 0.8290540592765423, "eval_runtime": 581.5277, "eval_samples_per_second": 53.182, "eval_steps_per_second": 3.324, "step": 700 }, { "epoch": 3.29, "eval_accuracy": 0.8535260558128357, "eval_loss": 0.9359630942344666, "eval_macroPrec": 0.8392464240325657, "eval_macroRec": 0.8320164505120938, "eval_macrof1": 0.8341211309544266, "eval_runtime": 581.7407, "eval_samples_per_second": 53.163, "eval_steps_per_second": 3.323, "step": 800 }, { "epoch": 3.7, "eval_accuracy": 0.8558540940284729, "eval_loss": 0.9286991953849792, "eval_macroPrec": 0.8406734329096902, "eval_macroRec": 0.8328819640638598, "eval_macrof1": 0.8359470595652772, "eval_runtime": 580.9985, "eval_samples_per_second": 53.231, "eval_steps_per_second": 3.327, "step": 900 }, { "epoch": 4.11, "learning_rate": 5e-05, "loss": 0.9523, "step": 1000 }, { "epoch": 4.11, "eval_accuracy": 0.8603485822677612, "eval_loss": 0.9251722097396851, "eval_macroPrec": 0.8421227676571199, "eval_macroRec": 0.8363366777340433, "eval_macrof1": 0.8383952111763313, "eval_runtime": 580.9643, "eval_samples_per_second": 53.234, "eval_steps_per_second": 3.327, "step": 1000 }, { "epoch": 4.52, "eval_accuracy": 0.8593462109565735, "eval_loss": 0.9215391874313354, "eval_macroPrec": 0.8352280429764268, "eval_macroRec": 0.848454411323337, "eval_macrof1": 0.8407772378261645, "eval_runtime": 580.9576, "eval_samples_per_second": 53.235, "eval_steps_per_second": 3.327, "step": 1100 } ], "max_steps": 1215, "num_train_epochs": 5, "total_flos": 7.40920813179863e+16, "trial_name": null, "trial_params": null }