{ "best_metric": 0.5207920792079208, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-475", "epoch": 6.0, "eval_steps": 500, "global_step": 2850, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 0.4949035942554474, "learning_rate": 1.755924298388821e-05, "loss": 0.2107, "step": 475 }, { "epoch": 1.0, "eval_accuracy": 0.5207920792079208, "eval_f1": 0.1597222222222222, "eval_loss": 0.19466964900493622, "eval_precision": 0.6388888888888888, "eval_recall": 0.09126984126984126, "eval_runtime": 15.6911, "eval_samples_per_second": 32.184, "eval_steps_per_second": 1.02, "step": 475 }, { "epoch": 2.0, "grad_norm": 0.5680577754974365, "learning_rate": 1.4047394387110566e-05, "loss": 0.1957, "step": 950 }, { "epoch": 2.0, "eval_accuracy": 0.5168316831683168, "eval_f1": 0.14685314685314682, "eval_loss": 0.19141286611557007, "eval_precision": 0.6176470588235294, "eval_recall": 0.08333333333333333, "eval_runtime": 15.1911, "eval_samples_per_second": 33.243, "eval_steps_per_second": 1.053, "step": 950 }, { "epoch": 3.0, "grad_norm": 0.45545563101768494, "learning_rate": 1.0535545790332925e-05, "loss": 0.1943, "step": 1425 }, { "epoch": 3.0, "eval_accuracy": 0.5148514851485149, "eval_f1": 0.14634146341463414, "eval_loss": 0.1912413090467453, "eval_precision": 0.6, "eval_recall": 0.08333333333333333, "eval_runtime": 15.2913, "eval_samples_per_second": 33.025, "eval_steps_per_second": 1.046, "step": 1425 }, { "epoch": 4.0, "grad_norm": 0.33228880167007446, "learning_rate": 7.023697193555283e-06, "loss": 0.1936, "step": 1900 }, { "epoch": 4.0, "eval_accuracy": 0.5168316831683168, "eval_f1": 0.14685314685314682, "eval_loss": 0.190897598862648, "eval_precision": 0.6176470588235294, "eval_recall": 0.08333333333333333, "eval_runtime": 15.1905, "eval_samples_per_second": 33.244, "eval_steps_per_second": 1.053, "step": 1900 }, { "epoch": 5.0, "grad_norm": 0.3122839331626892, "learning_rate": 3.5118485967776416e-06, "loss": 0.1933, "step": 2375 }, { "epoch": 5.0, "eval_accuracy": 0.5148514851485149, "eval_f1": 0.14634146341463414, "eval_loss": 0.19050733745098114, "eval_precision": 0.6, "eval_recall": 0.08333333333333333, "eval_runtime": 15.1983, "eval_samples_per_second": 33.227, "eval_steps_per_second": 1.053, "step": 2375 }, { "epoch": 6.0, "grad_norm": 0.29782089591026306, "learning_rate": 0.0, "loss": 0.193, "step": 2850 }, { "epoch": 6.0, "eval_accuracy": 0.5128712871287129, "eval_f1": 0.13986013986013984, "eval_loss": 0.19041746854782104, "eval_precision": 0.5882352941176471, "eval_recall": 0.07936507936507936, "eval_runtime": 15.2095, "eval_samples_per_second": 33.203, "eval_steps_per_second": 1.052, "step": 2850 } ], "logging_steps": 500, "max_steps": 2850, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "total_flos": 4667059698840.0, "train_batch_size": 20, "trial_name": null, "trial_params": { "alpha": 0.22818780511125447, "learning_rate": 2.107109158066585e-05, "num_train_epochs": 6, "per_device_train_batch_size": 20, "temperature": 6 } }