| { | |
| "best_global_step": 92, | |
| "best_metric": 2.2621846199035645, | |
| "best_model_checkpoint": "distilbert_rand_20_v1_stsb/checkpoint-92", | |
| "epoch": 9.0, | |
| "eval_steps": 500, | |
| "global_step": 207, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 9.302999496459961, | |
| "learning_rate": 4.9e-05, | |
| "loss": 2.8457, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_combined_score": 0.10238213777788993, | |
| "eval_loss": 2.447420120239258, | |
| "eval_pearson": 0.1132276932602871, | |
| "eval_runtime": 0.6528, | |
| "eval_samples_per_second": 2297.788, | |
| "eval_spearmanr": 0.09153658229549275, | |
| "eval_steps_per_second": 9.191, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 10.036398887634277, | |
| "learning_rate": 4.8e-05, | |
| "loss": 1.9642, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_combined_score": 0.155507624825103, | |
| "eval_loss": 2.464796543121338, | |
| "eval_pearson": 0.16768645564037815, | |
| "eval_runtime": 0.6609, | |
| "eval_samples_per_second": 2269.775, | |
| "eval_spearmanr": 0.14332879400982787, | |
| "eval_steps_per_second": 9.079, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 9.466987609863281, | |
| "learning_rate": 4.7e-05, | |
| "loss": 1.7115, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_combined_score": 0.23566144379821516, | |
| "eval_loss": 2.3630471229553223, | |
| "eval_pearson": 0.2444134663043129, | |
| "eval_runtime": 0.6203, | |
| "eval_samples_per_second": 2418.126, | |
| "eval_spearmanr": 0.2269094212921174, | |
| "eval_steps_per_second": 9.673, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 13.299996376037598, | |
| "learning_rate": 4.600000000000001e-05, | |
| "loss": 1.3916, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_combined_score": 0.312762288772237, | |
| "eval_loss": 2.2621846199035645, | |
| "eval_pearson": 0.3148669512801908, | |
| "eval_runtime": 0.623, | |
| "eval_samples_per_second": 2407.658, | |
| "eval_spearmanr": 0.31065762626428317, | |
| "eval_steps_per_second": 9.631, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 8.903468132019043, | |
| "learning_rate": 4.5e-05, | |
| "loss": 1.0069, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_combined_score": 0.2896275614963567, | |
| "eval_loss": 2.462907552719116, | |
| "eval_pearson": 0.29379909726378384, | |
| "eval_runtime": 0.6254, | |
| "eval_samples_per_second": 2398.516, | |
| "eval_spearmanr": 0.28545602572892953, | |
| "eval_steps_per_second": 9.594, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 8.961219787597656, | |
| "learning_rate": 4.4000000000000006e-05, | |
| "loss": 0.8358, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_combined_score": 0.3153478078035782, | |
| "eval_loss": 2.5660250186920166, | |
| "eval_pearson": 0.31700700111259955, | |
| "eval_runtime": 0.623, | |
| "eval_samples_per_second": 2407.527, | |
| "eval_spearmanr": 0.3136886144945568, | |
| "eval_steps_per_second": 9.63, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 16.089595794677734, | |
| "learning_rate": 4.3e-05, | |
| "loss": 0.6858, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_combined_score": 0.3219697656490754, | |
| "eval_loss": 2.4696717262268066, | |
| "eval_pearson": 0.323182235815452, | |
| "eval_runtime": 0.7288, | |
| "eval_samples_per_second": 2058.195, | |
| "eval_spearmanr": 0.32075729548269877, | |
| "eval_steps_per_second": 8.233, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 9.362905502319336, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.5581, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_combined_score": 0.33211645959432146, | |
| "eval_loss": 2.4711952209472656, | |
| "eval_pearson": 0.3348665305495951, | |
| "eval_runtime": 0.6218, | |
| "eval_samples_per_second": 2412.418, | |
| "eval_spearmanr": 0.32936638863904777, | |
| "eval_steps_per_second": 9.65, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 16.526451110839844, | |
| "learning_rate": 4.1e-05, | |
| "loss": 0.4323, | |
| "step": 207 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_combined_score": 0.29992779164554306, | |
| "eval_loss": 2.5601117610931396, | |
| "eval_pearson": 0.3043673144524528, | |
| "eval_runtime": 0.6352, | |
| "eval_samples_per_second": 2361.606, | |
| "eval_spearmanr": 0.2954882688386334, | |
| "eval_steps_per_second": 9.446, | |
| "step": 207 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "step": 207, | |
| "total_flos": 3426936721288704.0, | |
| "train_loss": 1.2702043828181022, | |
| "train_runtime": 65.5386, | |
| "train_samples_per_second": 4385.965, | |
| "train_steps_per_second": 17.547 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 1150, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 50, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 5, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 5 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3426936721288704.0, | |
| "train_batch_size": 256, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |