| { | |
| "best_metric": 0.6050820350646973, | |
| "best_model_checkpoint": "hBERTv1_mrpc/checkpoint-105", | |
| "epoch": 12.0, | |
| "global_step": 180, | |
| "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": 0.6536, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6838235294117647, | |
| "eval_combined_score": 0.7480253018237863, | |
| "eval_f1": 0.8122270742358079, | |
| "eval_loss": 0.6242610216140747, | |
| "eval_runtime": 0.5132, | |
| "eval_samples_per_second": 794.982, | |
| "eval_steps_per_second": 3.897, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.6275, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7009803921568627, | |
| "eval_combined_score": 0.7563543936092956, | |
| "eval_f1": 0.8117283950617284, | |
| "eval_loss": 0.6174396872520447, | |
| "eval_runtime": 0.511, | |
| "eval_samples_per_second": 798.461, | |
| "eval_steps_per_second": 3.914, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.6129, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.696078431372549, | |
| "eval_combined_score": 0.7571301247771836, | |
| "eval_f1": 0.8181818181818181, | |
| "eval_loss": 0.6089469194412231, | |
| "eval_runtime": 0.5125, | |
| "eval_samples_per_second": 796.115, | |
| "eval_steps_per_second": 3.903, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.6087, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6887254901960784, | |
| "eval_combined_score": 0.7508428629183632, | |
| "eval_f1": 0.8129602356406479, | |
| "eval_loss": 0.606163740158081, | |
| "eval_runtime": 0.5136, | |
| "eval_samples_per_second": 794.368, | |
| "eval_steps_per_second": 3.894, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.5939, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6862745098039216, | |
| "eval_combined_score": 0.739911448450348, | |
| "eval_f1": 0.7935483870967743, | |
| "eval_loss": 0.6104128956794739, | |
| "eval_runtime": 0.5141, | |
| "eval_samples_per_second": 793.575, | |
| "eval_steps_per_second": 3.89, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.5707, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.7083333333333334, | |
| "eval_combined_score": 0.7633269720101782, | |
| "eval_f1": 0.818320610687023, | |
| "eval_loss": 0.6184039115905762, | |
| "eval_runtime": 0.5141, | |
| "eval_samples_per_second": 793.682, | |
| "eval_steps_per_second": 3.891, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 4.3e-05, | |
| "loss": 0.5426, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6862745098039216, | |
| "eval_combined_score": 0.7431372549019608, | |
| "eval_f1": 0.7999999999999999, | |
| "eval_loss": 0.6050820350646973, | |
| "eval_runtime": 0.5141, | |
| "eval_samples_per_second": 793.592, | |
| "eval_steps_per_second": 3.89, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.4819, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.6936274509803921, | |
| "eval_combined_score": 0.7477645971225257, | |
| "eval_f1": 0.8019017432646594, | |
| "eval_loss": 0.6560007929801941, | |
| "eval_runtime": 0.515, | |
| "eval_samples_per_second": 792.192, | |
| "eval_steps_per_second": 3.883, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.4279, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.6887254901960784, | |
| "eval_combined_score": 0.7282749937269242, | |
| "eval_f1": 0.7678244972577698, | |
| "eval_loss": 0.6672889590263367, | |
| "eval_runtime": 0.5142, | |
| "eval_samples_per_second": 793.515, | |
| "eval_steps_per_second": 3.89, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 4e-05, | |
| "loss": 0.3374, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.6862745098039216, | |
| "eval_combined_score": 0.7382192221150756, | |
| "eval_f1": 0.7901639344262296, | |
| "eval_loss": 0.8091686367988586, | |
| "eval_runtime": 0.5155, | |
| "eval_samples_per_second": 791.402, | |
| "eval_steps_per_second": 3.879, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 3.9000000000000006e-05, | |
| "loss": 0.2789, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.6887254901960784, | |
| "eval_combined_score": 0.741110712577714, | |
| "eval_f1": 0.7934959349593496, | |
| "eval_loss": 0.9342193603515625, | |
| "eval_runtime": 0.5139, | |
| "eval_samples_per_second": 793.922, | |
| "eval_steps_per_second": 3.892, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 3.8e-05, | |
| "loss": 0.2216, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.6838235294117647, | |
| "eval_combined_score": 0.7324041246379707, | |
| "eval_f1": 0.7809847198641766, | |
| "eval_loss": 0.9707943201065063, | |
| "eval_runtime": 0.5142, | |
| "eval_samples_per_second": 793.529, | |
| "eval_steps_per_second": 3.89, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "step": 180, | |
| "total_flos": 5559706315653120.0, | |
| "train_loss": 0.4964691546228197, | |
| "train_runtime": 203.7797, | |
| "train_samples_per_second": 899.991, | |
| "train_steps_per_second": 3.68 | |
| } | |
| ], | |
| "max_steps": 750, | |
| "num_train_epochs": 50, | |
| "total_flos": 5559706315653120.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |