| { |
| "best_metric": 44.39123790117168, |
| "best_model_checkpoint": "outputs/bert-tiny/weak_tiny_poe/mnli_87/checkpoint-36816", |
| "epoch": 3.0, |
| "global_step": 36816, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.04, |
| "learning_rate": 1.9728378965667103e-05, |
| "loss": 1.067, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.08, |
| "learning_rate": 1.9456757931334205e-05, |
| "loss": 1.0497, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.12, |
| "learning_rate": 1.9185136897001307e-05, |
| "loss": 1.0421, |
| "step": 1500 |
| }, |
| { |
| "epoch": 0.16, |
| "learning_rate": 1.8913515862668405e-05, |
| "loss": 1.0446, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.2, |
| "learning_rate": 1.8641894828335507e-05, |
| "loss": 1.0519, |
| "step": 2500 |
| }, |
| { |
| "epoch": 0.24, |
| "learning_rate": 1.837027379400261e-05, |
| "loss": 1.0371, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.29, |
| "learning_rate": 1.809865275966971e-05, |
| "loss": 1.045, |
| "step": 3500 |
| }, |
| { |
| "epoch": 0.33, |
| "learning_rate": 1.7827031725336812e-05, |
| "loss": 1.0436, |
| "step": 4000 |
| }, |
| { |
| "epoch": 0.37, |
| "learning_rate": 1.7555410691003914e-05, |
| "loss": 1.0294, |
| "step": 4500 |
| }, |
| { |
| "epoch": 0.41, |
| "learning_rate": 1.7283789656671015e-05, |
| "loss": 1.0383, |
| "step": 5000 |
| }, |
| { |
| "epoch": 0.45, |
| "learning_rate": 1.7012168622338114e-05, |
| "loss": 1.0449, |
| "step": 5500 |
| }, |
| { |
| "epoch": 0.49, |
| "learning_rate": 1.6740547588005215e-05, |
| "loss": 1.0381, |
| "step": 6000 |
| }, |
| { |
| "epoch": 0.53, |
| "learning_rate": 1.6468926553672317e-05, |
| "loss": 1.0356, |
| "step": 6500 |
| }, |
| { |
| "epoch": 0.57, |
| "learning_rate": 1.619730551933942e-05, |
| "loss": 1.039, |
| "step": 7000 |
| }, |
| { |
| "epoch": 0.61, |
| "learning_rate": 1.592568448500652e-05, |
| "loss": 1.0319, |
| "step": 7500 |
| }, |
| { |
| "epoch": 0.65, |
| "learning_rate": 1.5654063450673622e-05, |
| "loss": 1.0475, |
| "step": 8000 |
| }, |
| { |
| "epoch": 0.69, |
| "learning_rate": 1.5382442416340724e-05, |
| "loss": 1.0345, |
| "step": 8500 |
| }, |
| { |
| "epoch": 0.73, |
| "learning_rate": 1.5110821382007822e-05, |
| "loss": 1.0326, |
| "step": 9000 |
| }, |
| { |
| "epoch": 0.77, |
| "learning_rate": 1.4839200347674924e-05, |
| "loss": 1.0374, |
| "step": 9500 |
| }, |
| { |
| "epoch": 0.81, |
| "learning_rate": 1.4567579313342026e-05, |
| "loss": 1.0438, |
| "step": 10000 |
| }, |
| { |
| "epoch": 0.86, |
| "learning_rate": 1.4295958279009128e-05, |
| "loss": 1.0229, |
| "step": 10500 |
| }, |
| { |
| "epoch": 0.9, |
| "learning_rate": 1.402433724467623e-05, |
| "loss": 1.0339, |
| "step": 11000 |
| }, |
| { |
| "epoch": 0.94, |
| "learning_rate": 1.3752716210343331e-05, |
| "loss": 1.0315, |
| "step": 11500 |
| }, |
| { |
| "epoch": 0.98, |
| "learning_rate": 1.3481095176010431e-05, |
| "loss": 1.0462, |
| "step": 12000 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 42.12939378502292, |
| "eval_combined_score": 42.12939378502292, |
| "eval_loss": 1.0677064657211304, |
| "eval_runtime": 17.9145, |
| "eval_samples_per_second": 547.881, |
| "eval_steps_per_second": 2.177, |
| "step": 12272 |
| }, |
| { |
| "epoch": 1.02, |
| "learning_rate": 1.3209474141677531e-05, |
| "loss": 1.0264, |
| "step": 12500 |
| }, |
| { |
| "epoch": 1.06, |
| "learning_rate": 1.2937853107344633e-05, |
| "loss": 1.0361, |
| "step": 13000 |
| }, |
| { |
| "epoch": 1.1, |
| "learning_rate": 1.2666232073011735e-05, |
| "loss": 1.0353, |
| "step": 13500 |
| }, |
| { |
| "epoch": 1.14, |
| "learning_rate": 1.2394611038678836e-05, |
| "loss": 1.0266, |
| "step": 14000 |
| }, |
| { |
| "epoch": 1.18, |
| "learning_rate": 1.2122990004345938e-05, |
| "loss": 1.0253, |
| "step": 14500 |
| }, |
| { |
| "epoch": 1.22, |
| "learning_rate": 1.185136897001304e-05, |
| "loss": 1.0193, |
| "step": 15000 |
| }, |
| { |
| "epoch": 1.26, |
| "learning_rate": 1.157974793568014e-05, |
| "loss": 1.0418, |
| "step": 15500 |
| }, |
| { |
| "epoch": 1.3, |
| "learning_rate": 1.130812690134724e-05, |
| "loss": 1.0305, |
| "step": 16000 |
| }, |
| { |
| "epoch": 1.34, |
| "learning_rate": 1.1036505867014341e-05, |
| "loss": 1.0429, |
| "step": 16500 |
| }, |
| { |
| "epoch": 1.39, |
| "learning_rate": 1.0764884832681443e-05, |
| "loss": 1.0239, |
| "step": 17000 |
| }, |
| { |
| "epoch": 1.43, |
| "learning_rate": 1.0493263798348545e-05, |
| "loss": 1.031, |
| "step": 17500 |
| }, |
| { |
| "epoch": 1.47, |
| "learning_rate": 1.0221642764015647e-05, |
| "loss": 1.0367, |
| "step": 18000 |
| }, |
| { |
| "epoch": 1.51, |
| "learning_rate": 9.950021729682747e-06, |
| "loss": 1.0311, |
| "step": 18500 |
| }, |
| { |
| "epoch": 1.55, |
| "learning_rate": 9.678400695349848e-06, |
| "loss": 1.0298, |
| "step": 19000 |
| }, |
| { |
| "epoch": 1.59, |
| "learning_rate": 9.40677966101695e-06, |
| "loss": 1.0374, |
| "step": 19500 |
| }, |
| { |
| "epoch": 1.63, |
| "learning_rate": 9.13515862668405e-06, |
| "loss": 1.0406, |
| "step": 20000 |
| }, |
| { |
| "epoch": 1.67, |
| "learning_rate": 8.863537592351152e-06, |
| "loss": 1.0471, |
| "step": 20500 |
| }, |
| { |
| "epoch": 1.71, |
| "learning_rate": 8.591916558018254e-06, |
| "loss": 1.04, |
| "step": 21000 |
| }, |
| { |
| "epoch": 1.75, |
| "learning_rate": 8.320295523685355e-06, |
| "loss": 1.0329, |
| "step": 21500 |
| }, |
| { |
| "epoch": 1.79, |
| "learning_rate": 8.048674489352455e-06, |
| "loss": 1.0284, |
| "step": 22000 |
| }, |
| { |
| "epoch": 1.83, |
| "learning_rate": 7.777053455019557e-06, |
| "loss": 1.0492, |
| "step": 22500 |
| }, |
| { |
| "epoch": 1.87, |
| "learning_rate": 7.505432420686659e-06, |
| "loss": 1.0288, |
| "step": 23000 |
| }, |
| { |
| "epoch": 1.91, |
| "learning_rate": 7.23381138635376e-06, |
| "loss": 1.0334, |
| "step": 23500 |
| }, |
| { |
| "epoch": 1.96, |
| "learning_rate": 6.962190352020861e-06, |
| "loss": 1.0273, |
| "step": 24000 |
| }, |
| { |
| "epoch": 2.0, |
| "learning_rate": 6.690569317687963e-06, |
| "loss": 1.0403, |
| "step": 24500 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 43.739174732552215, |
| "eval_combined_score": 43.739174732552215, |
| "eval_loss": 1.0508850812911987, |
| "eval_runtime": 19.0857, |
| "eval_samples_per_second": 514.26, |
| "eval_steps_per_second": 2.043, |
| "step": 24544 |
| }, |
| { |
| "epoch": 2.04, |
| "learning_rate": 6.418948283355063e-06, |
| "loss": 1.0263, |
| "step": 25000 |
| }, |
| { |
| "epoch": 2.08, |
| "learning_rate": 6.147327249022165e-06, |
| "loss": 1.0232, |
| "step": 25500 |
| }, |
| { |
| "epoch": 2.12, |
| "learning_rate": 5.8757062146892665e-06, |
| "loss": 1.0308, |
| "step": 26000 |
| }, |
| { |
| "epoch": 2.16, |
| "learning_rate": 5.6040851803563665e-06, |
| "loss": 1.0314, |
| "step": 26500 |
| }, |
| { |
| "epoch": 2.2, |
| "learning_rate": 5.332464146023468e-06, |
| "loss": 1.0257, |
| "step": 27000 |
| }, |
| { |
| "epoch": 2.24, |
| "learning_rate": 5.06084311169057e-06, |
| "loss": 1.0247, |
| "step": 27500 |
| }, |
| { |
| "epoch": 2.28, |
| "learning_rate": 4.789222077357671e-06, |
| "loss": 1.0192, |
| "step": 28000 |
| }, |
| { |
| "epoch": 2.32, |
| "learning_rate": 4.5176010430247726e-06, |
| "loss": 1.0331, |
| "step": 28500 |
| }, |
| { |
| "epoch": 2.36, |
| "learning_rate": 4.2459800086918734e-06, |
| "loss": 1.0188, |
| "step": 29000 |
| }, |
| { |
| "epoch": 2.4, |
| "learning_rate": 3.974358974358974e-06, |
| "loss": 1.0156, |
| "step": 29500 |
| }, |
| { |
| "epoch": 2.44, |
| "learning_rate": 3.702737940026076e-06, |
| "loss": 1.0357, |
| "step": 30000 |
| }, |
| { |
| "epoch": 2.49, |
| "learning_rate": 3.431116905693177e-06, |
| "loss": 1.0366, |
| "step": 30500 |
| }, |
| { |
| "epoch": 2.53, |
| "learning_rate": 3.1594958713602786e-06, |
| "loss": 1.0403, |
| "step": 31000 |
| }, |
| { |
| "epoch": 2.57, |
| "learning_rate": 2.8878748370273795e-06, |
| "loss": 1.0378, |
| "step": 31500 |
| }, |
| { |
| "epoch": 2.61, |
| "learning_rate": 2.6162538026944812e-06, |
| "loss": 1.0132, |
| "step": 32000 |
| }, |
| { |
| "epoch": 2.65, |
| "learning_rate": 2.344632768361582e-06, |
| "loss": 1.0414, |
| "step": 32500 |
| }, |
| { |
| "epoch": 2.69, |
| "learning_rate": 2.0730117340286834e-06, |
| "loss": 1.0299, |
| "step": 33000 |
| }, |
| { |
| "epoch": 2.73, |
| "learning_rate": 1.8013906996957845e-06, |
| "loss": 1.0227, |
| "step": 33500 |
| }, |
| { |
| "epoch": 2.77, |
| "learning_rate": 1.5297696653628858e-06, |
| "loss": 1.0343, |
| "step": 34000 |
| }, |
| { |
| "epoch": 2.81, |
| "learning_rate": 1.258148631029987e-06, |
| "loss": 1.0334, |
| "step": 34500 |
| }, |
| { |
| "epoch": 2.85, |
| "learning_rate": 9.865275966970884e-07, |
| "loss": 1.0324, |
| "step": 35000 |
| }, |
| { |
| "epoch": 2.89, |
| "learning_rate": 7.149065623641896e-07, |
| "loss": 1.0319, |
| "step": 35500 |
| }, |
| { |
| "epoch": 2.93, |
| "learning_rate": 4.432855280312908e-07, |
| "loss": 1.0336, |
| "step": 36000 |
| }, |
| { |
| "epoch": 2.97, |
| "learning_rate": 1.7166449369839202e-07, |
| "loss": 1.0384, |
| "step": 36500 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 44.39123790117168, |
| "eval_combined_score": 44.39123790117168, |
| "eval_loss": 1.039836049079895, |
| "eval_runtime": 17.7629, |
| "eval_samples_per_second": 552.557, |
| "eval_steps_per_second": 2.196, |
| "step": 36816 |
| }, |
| { |
| "epoch": 3.0, |
| "step": 36816, |
| "total_flos": 0.0, |
| "train_loss": 1.0345778003147197, |
| "train_runtime": 2033.0177, |
| "train_samples_per_second": 579.486, |
| "train_steps_per_second": 18.109 |
| } |
| ], |
| "max_steps": 36816, |
| "num_train_epochs": 3, |
| "total_flos": 0.0, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
