| { | |
| "best_metric": 0.8287671232876712, | |
| "best_model_checkpoint": "tiny-bert-sst2-distilled/run-15/checkpoint-480", | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 480, | |
| "is_hyper_param_search": true, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 2.341264247894287, | |
| "learning_rate": 0.0003257774454972516, | |
| "loss": 0.5225, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7906066536203522, | |
| "eval_f1": 0.8078994614003591, | |
| "eval_loss": 0.4404396712779999, | |
| "eval_precision": 0.746268656716418, | |
| "eval_recall": 0.8806262230919765, | |
| "eval_runtime": 24.9228, | |
| "eval_samples_per_second": 41.007, | |
| "eval_steps_per_second": 1.284, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 2.7467563152313232, | |
| "learning_rate": 0.00028957995155311255, | |
| "loss": 0.4443, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8189823874755382, | |
| "eval_f1": 0.8322756119673618, | |
| "eval_loss": 0.40899789333343506, | |
| "eval_precision": 0.7753378378378378, | |
| "eval_recall": 0.898238747553816, | |
| "eval_runtime": 24.9291, | |
| "eval_samples_per_second": 40.996, | |
| "eval_steps_per_second": 1.284, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 3.382880210876465, | |
| "learning_rate": 0.00025338245760897347, | |
| "loss": 0.4106, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8238747553816047, | |
| "eval_f1": 0.8324022346368715, | |
| "eval_loss": 0.4271247386932373, | |
| "eval_precision": 0.7939609236234458, | |
| "eval_recall": 0.8747553816046967, | |
| "eval_runtime": 26.7353, | |
| "eval_samples_per_second": 38.227, | |
| "eval_steps_per_second": 1.197, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 2.9181997776031494, | |
| "learning_rate": 0.00021718496366483439, | |
| "loss": 0.4035, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8170254403131115, | |
| "eval_f1": 0.8172043010752689, | |
| "eval_loss": 0.41200369596481323, | |
| "eval_precision": 0.81640625, | |
| "eval_recall": 0.8180039138943248, | |
| "eval_runtime": 26.179, | |
| "eval_samples_per_second": 39.039, | |
| "eval_steps_per_second": 1.222, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 1.339964509010315, | |
| "learning_rate": 0.00018098746972069533, | |
| "loss": 0.3903, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8287671232876712, | |
| "eval_f1": 0.8362956033676333, | |
| "eval_loss": 0.40260037779808044, | |
| "eval_precision": 0.8010752688172043, | |
| "eval_recall": 0.8747553816046967, | |
| "eval_runtime": 25.7166, | |
| "eval_samples_per_second": 39.741, | |
| "eval_steps_per_second": 1.244, | |
| "step": 480 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 960, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "total_flos": 1178475986400.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": { | |
| "alpha": 0.7955319016044536, | |
| "learning_rate": 0.00036197493944139066, | |
| "num_train_epochs": 10, | |
| "temperature": 8 | |
| } | |
| } | |