| { | |
| "best_metric": 0.4699857532978058, | |
| "best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_qqp_128/checkpoint-19901", | |
| "epoch": 12.0, | |
| "global_step": 34116, | |
| "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": 0.5294, | |
| "step": 2843 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7512490724709374, | |
| "eval_combined_score": 0.7074078968884644, | |
| "eval_f1": 0.6635667213059914, | |
| "eval_loss": 0.5076429843902588, | |
| "eval_runtime": 89.4131, | |
| "eval_samples_per_second": 452.171, | |
| "eval_steps_per_second": 3.534, | |
| "step": 2843 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.4791, | |
| "step": 5686 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7613405886717783, | |
| "eval_combined_score": 0.6991138272452333, | |
| "eval_f1": 0.6368870658186881, | |
| "eval_loss": 0.4889410436153412, | |
| "eval_runtime": 89.507, | |
| "eval_samples_per_second": 451.696, | |
| "eval_steps_per_second": 3.53, | |
| "step": 5686 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.7e-05, | |
| "loss": 0.4622, | |
| "step": 8529 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7656690576304724, | |
| "eval_combined_score": 0.7065937370896614, | |
| "eval_f1": 0.6475184165488505, | |
| "eval_loss": 0.48212409019470215, | |
| "eval_runtime": 89.4828, | |
| "eval_samples_per_second": 451.819, | |
| "eval_steps_per_second": 3.531, | |
| "step": 8529 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 0.4463, | |
| "step": 11372 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.7693544397724462, | |
| "eval_combined_score": 0.72116678678084, | |
| "eval_f1": 0.6729791337892337, | |
| "eval_loss": 0.48311617970466614, | |
| "eval_runtime": 89.5837, | |
| "eval_samples_per_second": 451.31, | |
| "eval_steps_per_second": 3.527, | |
| "step": 11372 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.4288, | |
| "step": 14215 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7751916893395993, | |
| "eval_combined_score": 0.7268025813927237, | |
| "eval_f1": 0.678413473445848, | |
| "eval_loss": 0.4724300801753998, | |
| "eval_runtime": 89.3424, | |
| "eval_samples_per_second": 452.529, | |
| "eval_steps_per_second": 3.537, | |
| "step": 14215 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.4129, | |
| "step": 17058 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.77491961414791, | |
| "eval_combined_score": 0.7321060785844712, | |
| "eval_f1": 0.6892925430210324, | |
| "eval_loss": 0.4805930554866791, | |
| "eval_runtime": 89.5371, | |
| "eval_samples_per_second": 451.545, | |
| "eval_steps_per_second": 3.529, | |
| "step": 17058 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 4.3e-05, | |
| "loss": 0.3969, | |
| "step": 19901 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.7784071234232006, | |
| "eval_combined_score": 0.7334977672800942, | |
| "eval_f1": 0.6885884111369878, | |
| "eval_loss": 0.4699857532978058, | |
| "eval_runtime": 89.4631, | |
| "eval_samples_per_second": 451.918, | |
| "eval_steps_per_second": 3.532, | |
| "step": 19901 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.3813, | |
| "step": 22744 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7790007420232501, | |
| "eval_combined_score": 0.7376014216389413, | |
| "eval_f1": 0.6962021012546326, | |
| "eval_loss": 0.48019975423812866, | |
| "eval_runtime": 89.437, | |
| "eval_samples_per_second": 452.05, | |
| "eval_steps_per_second": 3.533, | |
| "step": 22744 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.3664, | |
| "step": 25587 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.7804847885233738, | |
| "eval_combined_score": 0.7378400176432165, | |
| "eval_f1": 0.6951952467630593, | |
| "eval_loss": 0.4764688313007355, | |
| "eval_runtime": 89.5287, | |
| "eval_samples_per_second": 451.587, | |
| "eval_steps_per_second": 3.53, | |
| "step": 25587 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 4e-05, | |
| "loss": 0.352, | |
| "step": 28430 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.7767994063814, | |
| "eval_combined_score": 0.7427103263744261, | |
| "eval_f1": 0.7086212463674524, | |
| "eval_loss": 0.49650800228118896, | |
| "eval_runtime": 89.4364, | |
| "eval_samples_per_second": 452.053, | |
| "eval_steps_per_second": 3.533, | |
| "step": 28430 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 3.9000000000000006e-05, | |
| "loss": 0.3381, | |
| "step": 31273 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.7844917140737077, | |
| "eval_combined_score": 0.7402554861754647, | |
| "eval_f1": 0.6960192582772216, | |
| "eval_loss": 0.48946356773376465, | |
| "eval_runtime": 89.3745, | |
| "eval_samples_per_second": 452.366, | |
| "eval_steps_per_second": 3.536, | |
| "step": 31273 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 3.8e-05, | |
| "loss": 0.3258, | |
| "step": 34116 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.7844422458570368, | |
| "eval_combined_score": 0.744383972801292, | |
| "eval_f1": 0.7043256997455472, | |
| "eval_loss": 0.5092117190361023, | |
| "eval_runtime": 89.3611, | |
| "eval_samples_per_second": 452.434, | |
| "eval_steps_per_second": 3.536, | |
| "step": 34116 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "step": 34116, | |
| "total_flos": 1.0406546414921318e+17, | |
| "train_loss": 0.4099273109145315, | |
| "train_runtime": 29349.5289, | |
| "train_samples_per_second": 619.85, | |
| "train_steps_per_second": 4.843 | |
| } | |
| ], | |
| "max_steps": 142150, | |
| "num_train_epochs": 50, | |
| "total_flos": 1.0406546414921318e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |