| { | |
| "best_metric": 0.6884405016899109, | |
| "best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_logit_kd_qqp_128/checkpoint-31273", | |
| "epoch": 16.0, | |
| "global_step": 45488, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 4.9e-05, | |
| "loss": 0.9518, | |
| "step": 2843 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7536482809794707, | |
| "eval_combined_score": 0.7033049767266691, | |
| "eval_f1": 0.6529616724738676, | |
| "eval_loss": 0.8352172374725342, | |
| "eval_runtime": 71.9208, | |
| "eval_samples_per_second": 562.146, | |
| "eval_steps_per_second": 4.394, | |
| "step": 2843 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.8249, | |
| "step": 5686 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7606727677467228, | |
| "eval_combined_score": 0.6912633809032191, | |
| "eval_f1": 0.6218539940597155, | |
| "eval_loss": 0.7766293883323669, | |
| "eval_runtime": 71.8035, | |
| "eval_samples_per_second": 563.064, | |
| "eval_steps_per_second": 4.401, | |
| "step": 5686 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.7847, | |
| "step": 8529 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.764828097947069, | |
| "eval_combined_score": 0.7025018479441673, | |
| "eval_f1": 0.6401755979412656, | |
| "eval_loss": 0.7624924778938293, | |
| "eval_runtime": 71.7415, | |
| "eval_samples_per_second": 563.551, | |
| "eval_steps_per_second": 4.405, | |
| "step": 8529 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.7498, | |
| "step": 11372 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.7637892653969824, | |
| "eval_combined_score": 0.6917464963493354, | |
| "eval_f1": 0.6197037273016884, | |
| "eval_loss": 0.7550554275512695, | |
| "eval_runtime": 71.5767, | |
| "eval_samples_per_second": 564.848, | |
| "eval_steps_per_second": 4.415, | |
| "step": 11372 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.7137, | |
| "step": 14215 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7691318327974277, | |
| "eval_combined_score": 0.7118036449838919, | |
| "eval_f1": 0.6544754571703562, | |
| "eval_loss": 0.7386809587478638, | |
| "eval_runtime": 71.6477, | |
| "eval_samples_per_second": 564.289, | |
| "eval_steps_per_second": 4.41, | |
| "step": 14215 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.6762, | |
| "step": 17058 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.7753153598812763, | |
| "eval_combined_score": 0.7236628792473973, | |
| "eval_f1": 0.6720103986135182, | |
| "eval_loss": 0.7165194153785706, | |
| "eval_runtime": 71.8883, | |
| "eval_samples_per_second": 562.4, | |
| "eval_steps_per_second": 4.396, | |
| "step": 17058 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 4.3e-05, | |
| "loss": 0.6373, | |
| "step": 19901 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.778308186989859, | |
| "eval_combined_score": 0.7273846100454836, | |
| "eval_f1": 0.6764610331011082, | |
| "eval_loss": 0.7042196989059448, | |
| "eval_runtime": 71.6003, | |
| "eval_samples_per_second": 564.662, | |
| "eval_steps_per_second": 4.413, | |
| "step": 19901 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.6045, | |
| "step": 22744 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7798664358149888, | |
| "eval_combined_score": 0.7350428593972265, | |
| "eval_f1": 0.690219282979464, | |
| "eval_loss": 0.7075350880622864, | |
| "eval_runtime": 71.5758, | |
| "eval_samples_per_second": 564.856, | |
| "eval_steps_per_second": 4.415, | |
| "step": 22744 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.5729, | |
| "step": 25587 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.7791738807815978, | |
| "eval_combined_score": 0.7215273063270988, | |
| "eval_f1": 0.6638807318725999, | |
| "eval_loss": 0.7232872843742371, | |
| "eval_runtime": 71.3607, | |
| "eval_samples_per_second": 566.558, | |
| "eval_steps_per_second": 4.428, | |
| "step": 25587 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 4e-05, | |
| "loss": 0.545, | |
| "step": 28430 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.7805342567400445, | |
| "eval_combined_score": 0.7492781557955792, | |
| "eval_f1": 0.7180220548511138, | |
| "eval_loss": 0.708789587020874, | |
| "eval_runtime": 71.5867, | |
| "eval_samples_per_second": 564.77, | |
| "eval_steps_per_second": 4.414, | |
| "step": 28430 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 3.9000000000000006e-05, | |
| "loss": 0.5183, | |
| "step": 31273 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.7871877318822657, | |
| "eval_combined_score": 0.7466776716921062, | |
| "eval_f1": 0.7061676115019466, | |
| "eval_loss": 0.6884405016899109, | |
| "eval_runtime": 71.6715, | |
| "eval_samples_per_second": 564.102, | |
| "eval_steps_per_second": 4.409, | |
| "step": 31273 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 3.8e-05, | |
| "loss": 0.4948, | |
| "step": 34116 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.7868661884739055, | |
| "eval_combined_score": 0.7472385300891464, | |
| "eval_f1": 0.7076108717043874, | |
| "eval_loss": 0.7063745260238647, | |
| "eval_runtime": 71.4754, | |
| "eval_samples_per_second": 565.649, | |
| "eval_steps_per_second": 4.421, | |
| "step": 34116 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 3.7e-05, | |
| "loss": 0.4724, | |
| "step": 36959 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.7883502349740292, | |
| "eval_combined_score": 0.7501615189141915, | |
| "eval_f1": 0.7119728028543537, | |
| "eval_loss": 0.7052645683288574, | |
| "eval_runtime": 71.6405, | |
| "eval_samples_per_second": 564.345, | |
| "eval_steps_per_second": 4.411, | |
| "step": 36959 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 3.6e-05, | |
| "loss": 0.4514, | |
| "step": 39802 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.7903042295325253, | |
| "eval_combined_score": 0.7463735102456954, | |
| "eval_f1": 0.7024427909588656, | |
| "eval_loss": 0.7314090728759766, | |
| "eval_runtime": 71.7172, | |
| "eval_samples_per_second": 563.742, | |
| "eval_steps_per_second": 4.406, | |
| "step": 39802 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 3.5e-05, | |
| "loss": 0.4321, | |
| "step": 42645 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.7891169923324264, | |
| "eval_combined_score": 0.7559694194431963, | |
| "eval_f1": 0.7228218465539662, | |
| "eval_loss": 0.7111542820930481, | |
| "eval_runtime": 71.6308, | |
| "eval_samples_per_second": 564.422, | |
| "eval_steps_per_second": 4.412, | |
| "step": 42645 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 3.4000000000000007e-05, | |
| "loss": 0.4152, | |
| "step": 45488 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.7908978481325748, | |
| "eval_combined_score": 0.7560176006727, | |
| "eval_f1": 0.721137353212825, | |
| "eval_loss": 0.7409694194793701, | |
| "eval_runtime": 71.6151, | |
| "eval_samples_per_second": 564.546, | |
| "eval_steps_per_second": 4.412, | |
| "step": 45488 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "step": 45488, | |
| "total_flos": 1.3875395219895091e+17, | |
| "train_loss": 0.6153143427550604, | |
| "train_runtime": 24971.032, | |
| "train_samples_per_second": 728.536, | |
| "train_steps_per_second": 5.693 | |
| } | |
| ], | |
| "max_steps": 142150, | |
| "num_train_epochs": 50, | |
| "total_flos": 1.3875395219895091e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |