| { |
| "best_metric": 2.8341832160949707, |
| "best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_data_aug_stsb/checkpoint-7554", |
| "epoch": 8.0, |
| "global_step": 20144, |
| "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": 1.0254, |
| "step": 2518 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_combined_score": 0.16585328643275277, |
| "eval_loss": 2.877626657485962, |
| "eval_pearson": 0.15748718573093243, |
| "eval_runtime": 1.5831, |
| "eval_samples_per_second": 947.527, |
| "eval_spearmanr": 0.17421938713457308, |
| "eval_steps_per_second": 7.58, |
| "step": 2518 |
| }, |
| { |
| "epoch": 2.0, |
| "learning_rate": 4.8e-05, |
| "loss": 0.5854, |
| "step": 5036 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_combined_score": 0.1635100194118946, |
| "eval_loss": 3.1463847160339355, |
| "eval_pearson": 0.15907317751955238, |
| "eval_runtime": 1.5769, |
| "eval_samples_per_second": 951.23, |
| "eval_spearmanr": 0.16794686130423683, |
| "eval_steps_per_second": 7.61, |
| "step": 5036 |
| }, |
| { |
| "epoch": 3.0, |
| "learning_rate": 4.7e-05, |
| "loss": 0.4255, |
| "step": 7554 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_combined_score": 0.17824953346799088, |
| "eval_loss": 2.8341832160949707, |
| "eval_pearson": 0.17650415284397877, |
| "eval_runtime": 1.6928, |
| "eval_samples_per_second": 886.104, |
| "eval_spearmanr": 0.17999491409200302, |
| "eval_steps_per_second": 7.089, |
| "step": 7554 |
| }, |
| { |
| "epoch": 4.0, |
| "learning_rate": 4.600000000000001e-05, |
| "loss": 0.2765, |
| "step": 10072 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_combined_score": 0.18267513587644282, |
| "eval_loss": 2.852358818054199, |
| "eval_pearson": 0.18152000982174782, |
| "eval_runtime": 1.5758, |
| "eval_samples_per_second": 951.922, |
| "eval_spearmanr": 0.18383026193113783, |
| "eval_steps_per_second": 7.615, |
| "step": 10072 |
| }, |
| { |
| "epoch": 5.0, |
| "learning_rate": 4.5e-05, |
| "loss": 0.1862, |
| "step": 12590 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_combined_score": 0.17521614805651298, |
| "eval_loss": 2.9183528423309326, |
| "eval_pearson": 0.17358261728487295, |
| "eval_runtime": 1.5754, |
| "eval_samples_per_second": 952.151, |
| "eval_spearmanr": 0.17684967882815297, |
| "eval_steps_per_second": 7.617, |
| "step": 12590 |
| }, |
| { |
| "epoch": 6.0, |
| "learning_rate": 4.4000000000000006e-05, |
| "loss": 0.1339, |
| "step": 15108 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_combined_score": 0.17076120867812122, |
| "eval_loss": 2.981703519821167, |
| "eval_pearson": 0.16876644953461767, |
| "eval_runtime": 1.5872, |
| "eval_samples_per_second": 945.039, |
| "eval_spearmanr": 0.17275596782162475, |
| "eval_steps_per_second": 7.56, |
| "step": 15108 |
| }, |
| { |
| "epoch": 7.0, |
| "learning_rate": 4.3e-05, |
| "loss": 0.1029, |
| "step": 17626 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_combined_score": 0.16307581221558015, |
| "eval_loss": 2.970160484313965, |
| "eval_pearson": 0.1618052318006157, |
| "eval_runtime": 1.5744, |
| "eval_samples_per_second": 952.757, |
| "eval_spearmanr": 0.16434639263054457, |
| "eval_steps_per_second": 7.622, |
| "step": 17626 |
| }, |
| { |
| "epoch": 8.0, |
| "learning_rate": 4.2e-05, |
| "loss": 0.0806, |
| "step": 20144 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_combined_score": 0.1605832354040539, |
| "eval_loss": 3.0033271312713623, |
| "eval_pearson": 0.1587626578082464, |
| "eval_runtime": 1.5753, |
| "eval_samples_per_second": 952.217, |
| "eval_spearmanr": 0.1624038129998614, |
| "eval_steps_per_second": 7.618, |
| "step": 20144 |
| }, |
| { |
| "epoch": 8.0, |
| "step": 20144, |
| "total_flos": 8.08285013719122e+16, |
| "train_loss": 0.3520539346623743, |
| "train_runtime": 9383.655, |
| "train_samples_per_second": 1717.065, |
| "train_steps_per_second": 13.417 |
| } |
| ], |
| "max_steps": 125900, |
| "num_train_epochs": 50, |
| "total_flos": 8.08285013719122e+16, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|