| { |
| "best_metric": 0.9534441828727722, |
| "best_model_checkpoint": "hBERTv2_stsb/checkpoint-115", |
| "epoch": 10.0, |
| "global_step": 230, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "learning_rate": 4.9173913043478265e-05, |
| "loss": 4.4386, |
| "step": 23 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_combined_score": 0.11921757894035995, |
| "eval_loss": 2.5331363677978516, |
| "eval_pearson": 0.13130549535273073, |
| "eval_runtime": 1.7547, |
| "eval_samples_per_second": 854.84, |
| "eval_spearmanr": 0.10712966252798917, |
| "eval_steps_per_second": 3.419, |
| "step": 23 |
| }, |
| { |
| "epoch": 2.0, |
| "learning_rate": 4.817391304347826e-05, |
| "loss": 1.8741, |
| "step": 46 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_combined_score": 0.48443203302065396, |
| "eval_loss": 2.0517449378967285, |
| "eval_pearson": 0.4922986407408125, |
| "eval_runtime": 1.7533, |
| "eval_samples_per_second": 855.528, |
| "eval_spearmanr": 0.4765654253004954, |
| "eval_steps_per_second": 3.422, |
| "step": 46 |
| }, |
| { |
| "epoch": 3.0, |
| "learning_rate": 4.7173913043478264e-05, |
| "loss": 1.347, |
| "step": 69 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_combined_score": 0.7021926806891676, |
| "eval_loss": 1.3556339740753174, |
| "eval_pearson": 0.6964421878346847, |
| "eval_runtime": 1.7555, |
| "eval_samples_per_second": 854.451, |
| "eval_spearmanr": 0.7079431735436507, |
| "eval_steps_per_second": 3.418, |
| "step": 69 |
| }, |
| { |
| "epoch": 4.0, |
| "learning_rate": 4.617391304347826e-05, |
| "loss": 0.8443, |
| "step": 92 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_combined_score": 0.7353483613374537, |
| "eval_loss": 1.2583037614822388, |
| "eval_pearson": 0.7339982958163664, |
| "eval_runtime": 1.7466, |
| "eval_samples_per_second": 858.817, |
| "eval_spearmanr": 0.736698426858541, |
| "eval_steps_per_second": 3.435, |
| "step": 92 |
| }, |
| { |
| "epoch": 5.0, |
| "learning_rate": 4.517391304347826e-05, |
| "loss": 0.5822, |
| "step": 115 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_combined_score": 0.7714202291712986, |
| "eval_loss": 0.9534441828727722, |
| "eval_pearson": 0.7721621486910845, |
| "eval_runtime": 1.7425, |
| "eval_samples_per_second": 860.836, |
| "eval_spearmanr": 0.7706783096515127, |
| "eval_steps_per_second": 3.443, |
| "step": 115 |
| }, |
| { |
| "epoch": 6.0, |
| "learning_rate": 4.4173913043478265e-05, |
| "loss": 0.4356, |
| "step": 138 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_combined_score": 0.7784518955721378, |
| "eval_loss": 1.19211745262146, |
| "eval_pearson": 0.7797837440863491, |
| "eval_runtime": 1.7549, |
| "eval_samples_per_second": 854.75, |
| "eval_spearmanr": 0.7771200470579264, |
| "eval_steps_per_second": 3.419, |
| "step": 138 |
| }, |
| { |
| "epoch": 7.0, |
| "learning_rate": 4.317391304347827e-05, |
| "loss": 0.3531, |
| "step": 161 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_combined_score": 0.7700287306666532, |
| "eval_loss": 1.3848626613616943, |
| "eval_pearson": 0.7700627816034332, |
| "eval_runtime": 1.749, |
| "eval_samples_per_second": 857.639, |
| "eval_spearmanr": 0.7699946797298732, |
| "eval_steps_per_second": 3.431, |
| "step": 161 |
| }, |
| { |
| "epoch": 8.0, |
| "learning_rate": 4.2173913043478264e-05, |
| "loss": 0.2712, |
| "step": 184 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_combined_score": 0.7877855529630069, |
| "eval_loss": 1.0015486478805542, |
| "eval_pearson": 0.7885967294161835, |
| "eval_runtime": 1.7474, |
| "eval_samples_per_second": 858.407, |
| "eval_spearmanr": 0.7869743765098304, |
| "eval_steps_per_second": 3.434, |
| "step": 184 |
| }, |
| { |
| "epoch": 9.0, |
| "learning_rate": 4.117391304347826e-05, |
| "loss": 0.259, |
| "step": 207 |
| }, |
| { |
| "epoch": 9.0, |
| "eval_combined_score": 0.7885662946075902, |
| "eval_loss": 1.0522509813308716, |
| "eval_pearson": 0.7897669906981138, |
| "eval_runtime": 1.7561, |
| "eval_samples_per_second": 854.151, |
| "eval_spearmanr": 0.7873655985170667, |
| "eval_steps_per_second": 3.417, |
| "step": 207 |
| }, |
| { |
| "epoch": 10.0, |
| "learning_rate": 4.017391304347826e-05, |
| "loss": 0.2003, |
| "step": 230 |
| }, |
| { |
| "epoch": 10.0, |
| "eval_combined_score": 0.7829928810160273, |
| "eval_loss": 1.1524564027786255, |
| "eval_pearson": 0.7836170528521111, |
| "eval_runtime": 1.7407, |
| "eval_samples_per_second": 861.726, |
| "eval_spearmanr": 0.7823687091799434, |
| "eval_steps_per_second": 3.447, |
| "step": 230 |
| }, |
| { |
| "epoch": 10.0, |
| "step": 230, |
| "total_flos": 7160509077913600.0, |
| "train_loss": 1.0605290993400243, |
| "train_runtime": 262.8334, |
| "train_samples_per_second": 1093.659, |
| "train_steps_per_second": 4.375 |
| } |
| ], |
| "max_steps": 1150, |
| "num_train_epochs": 50, |
| "total_flos": 7160509077913600.0, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
