| { | |
| "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 | |
| } | |