| { | |
| "best_metric": 0.5212615728378296, | |
| "best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_logit_kd_mrpc_128/checkpoint-261", | |
| "epoch": 14.0, | |
| "global_step": 406, | |
| "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": 0.6368, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.6838235294117647, | |
| "eval_combined_score": 0.7480253018237863, | |
| "eval_f1": 0.8122270742358079, | |
| "eval_loss": 0.5564230680465698, | |
| "eval_runtime": 0.7436, | |
| "eval_samples_per_second": 548.712, | |
| "eval_steps_per_second": 5.38, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.6099, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6838235294117647, | |
| "eval_combined_score": 0.7480253018237863, | |
| "eval_f1": 0.8122270742358079, | |
| "eval_loss": 0.5557259321212769, | |
| "eval_runtime": 0.746, | |
| "eval_samples_per_second": 546.918, | |
| "eval_steps_per_second": 5.362, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.611, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6838235294117647, | |
| "eval_combined_score": 0.7480253018237863, | |
| "eval_f1": 0.8122270742358079, | |
| "eval_loss": 0.5555070042610168, | |
| "eval_runtime": 0.7446, | |
| "eval_samples_per_second": 547.974, | |
| "eval_steps_per_second": 5.372, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.6101, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.6838235294117647, | |
| "eval_combined_score": 0.7480253018237863, | |
| "eval_f1": 0.8122270742358079, | |
| "eval_loss": 0.5567864179611206, | |
| "eval_runtime": 0.7424, | |
| "eval_samples_per_second": 549.533, | |
| "eval_steps_per_second": 5.388, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.608, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.6838235294117647, | |
| "eval_combined_score": 0.7480253018237863, | |
| "eval_f1": 0.8122270742358079, | |
| "eval_loss": 0.5539779663085938, | |
| "eval_runtime": 0.7425, | |
| "eval_samples_per_second": 549.496, | |
| "eval_steps_per_second": 5.387, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.6037, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6838235294117647, | |
| "eval_combined_score": 0.7480253018237863, | |
| "eval_f1": 0.8122270742358079, | |
| "eval_loss": 0.5492002964019775, | |
| "eval_runtime": 0.7401, | |
| "eval_samples_per_second": 551.299, | |
| "eval_steps_per_second": 5.405, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 4.3e-05, | |
| "loss": 0.5761, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6102941176470589, | |
| "eval_combined_score": 0.647721316249272, | |
| "eval_f1": 0.6851485148514851, | |
| "eval_loss": 0.6065270900726318, | |
| "eval_runtime": 0.7427, | |
| "eval_samples_per_second": 549.382, | |
| "eval_steps_per_second": 5.386, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.4782, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.6862745098039216, | |
| "eval_combined_score": 0.7331716191631292, | |
| "eval_f1": 0.7800687285223368, | |
| "eval_loss": 0.5340890884399414, | |
| "eval_runtime": 0.7448, | |
| "eval_samples_per_second": 547.827, | |
| "eval_steps_per_second": 5.371, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.4111, | |
| "step": 261 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.6740196078431373, | |
| "eval_combined_score": 0.7263608854523507, | |
| "eval_f1": 0.7787021630615641, | |
| "eval_loss": 0.5212615728378296, | |
| "eval_runtime": 0.7427, | |
| "eval_samples_per_second": 549.311, | |
| "eval_steps_per_second": 5.385, | |
| "step": 261 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 4e-05, | |
| "loss": 0.3526, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.6862745098039216, | |
| "eval_combined_score": 0.736470588235294, | |
| "eval_f1": 0.7866666666666665, | |
| "eval_loss": 0.57920241355896, | |
| "eval_runtime": 0.7437, | |
| "eval_samples_per_second": 548.588, | |
| "eval_steps_per_second": 5.378, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 3.9000000000000006e-05, | |
| "loss": 0.3188, | |
| "step": 319 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.6936274509803921, | |
| "eval_combined_score": 0.7350069276368867, | |
| "eval_f1": 0.7763864042933811, | |
| "eval_loss": 0.5759749412536621, | |
| "eval_runtime": 0.7403, | |
| "eval_samples_per_second": 551.091, | |
| "eval_steps_per_second": 5.403, | |
| "step": 319 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 3.8e-05, | |
| "loss": 0.2918, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.6911764705882353, | |
| "eval_combined_score": 0.7395276292335116, | |
| "eval_f1": 0.787878787878788, | |
| "eval_loss": 0.6406097412109375, | |
| "eval_runtime": 0.7431, | |
| "eval_samples_per_second": 549.016, | |
| "eval_steps_per_second": 5.383, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 3.7e-05, | |
| "loss": 0.2568, | |
| "step": 377 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.6764705882352942, | |
| "eval_combined_score": 0.715100965759438, | |
| "eval_f1": 0.753731343283582, | |
| "eval_loss": 0.5908408761024475, | |
| "eval_runtime": 0.7434, | |
| "eval_samples_per_second": 548.842, | |
| "eval_steps_per_second": 5.381, | |
| "step": 377 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 3.6e-05, | |
| "loss": 0.2472, | |
| "step": 406 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.6862745098039216, | |
| "eval_combined_score": 0.7263489337340776, | |
| "eval_f1": 0.7664233576642336, | |
| "eval_loss": 0.5965602993965149, | |
| "eval_runtime": 0.7403, | |
| "eval_samples_per_second": 551.135, | |
| "eval_steps_per_second": 5.403, | |
| "step": 406 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "step": 406, | |
| "total_flos": 1223954094096384.0, | |
| "train_loss": 0.47229831794212607, | |
| "train_runtime": 291.7324, | |
| "train_samples_per_second": 628.658, | |
| "train_steps_per_second": 4.97 | |
| } | |
| ], | |
| "max_steps": 1450, | |
| "num_train_epochs": 50, | |
| "total_flos": 1223954094096384.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |