{ "best_metric": 0.9981600735970562, "best_model_checkpoint": "data/train-test/bert-large-output//model/checkpoint-1676", "epoch": 2.0, "eval_steps": 500, "global_step": 1676, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.6, "grad_norm": 0.902126133441925, "learning_rate": 1.4033412887828164e-05, "loss": 0.0252, "step": 500 }, { "epoch": 1.0, "eval_accuracy": null, "eval_f1": 0.9935720844811754, "eval_loss": 0.005533559713512659, "eval_precision": 0.9917506874427131, "eval_recall": 0.9954001839926403, "eval_runtime": 4.2367, "eval_samples_per_second": 228.952, "eval_steps_per_second": 7.317, "step": 838 }, { "epoch": 1.19, "grad_norm": 0.0071577695198357105, "learning_rate": 8.066825775656326e-06, "loss": 0.0047, "step": 1000 }, { "epoch": 1.79, "grad_norm": 0.009138579480350018, "learning_rate": 2.100238663484487e-06, "loss": 0.0027, "step": 1500 }, { "epoch": 2.0, "eval_accuracy": null, "eval_f1": 0.9967845659163987, "eval_loss": 0.003087937133386731, "eval_precision": 0.9954128440366973, "eval_recall": 0.9981600735970562, "eval_runtime": 4.2113, "eval_samples_per_second": 230.333, "eval_steps_per_second": 7.361, "step": 1676 } ], "logging_steps": 500, "max_steps": 1676, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 500, "total_flos": 6896325795708240.0, "train_batch_size": 32, "trial_name": null, "trial_params": null }