{ "best_global_step": 2536, "best_metric": 75.90861914150922, "best_model_checkpoint": "mbert-loraxs-qa-vanilla/run-22/checkpoint-2536", "epoch": 4.0, "eval_steps": 500, "global_step": 2536, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 6.846948146820068, "learning_rate": 0.0002936503084341597, "loss": 3.051067171788742, "step": 634 }, { "epoch": 1.0, "eval_exact_match": 55.92, "eval_f1": 69.50774414487569, "eval_loss": 1.4324498176574707, "eval_runtime": 7.7695, "eval_samples_per_second": 162.816, "eval_steps_per_second": 10.297, "step": 634 }, { "epoch": 2.0, "grad_norm": 4.550962924957275, "learning_rate": 0.0002349387677380836, "loss": 1.4162167329517448, "step": 1268 }, { "epoch": 2.0, "eval_exact_match": 58.48, "eval_f1": 72.4666290482864, "eval_loss": 1.3376092910766602, "eval_runtime": 7.8052, "eval_samples_per_second": 162.072, "eval_steps_per_second": 10.25, "step": 1268 }, { "epoch": 3.0, "grad_norm": 2.3896350860595703, "learning_rate": 0.0001762272270420075, "loss": 1.1300597566911474, "step": 1902 }, { "epoch": 3.0, "eval_exact_match": 61.44, "eval_f1": 75.33434312606144, "eval_loss": 1.2791812419891357, "eval_runtime": 7.8106, "eval_samples_per_second": 161.958, "eval_steps_per_second": 10.242, "step": 1902 }, { "epoch": 4.0, "grad_norm": 4.916056156158447, "learning_rate": 0.00011751568634593144, "loss": 0.9393305733376873, "step": 2536 }, { "epoch": 4.0, "eval_exact_match": 62.48, "eval_f1": 75.90861914150922, "eval_loss": 1.2876638174057007, "eval_runtime": 7.8355, "eval_samples_per_second": 161.445, "eval_steps_per_second": 10.21, "step": 2536 } ], "logging_steps": 500, "max_steps": 3804, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 1.2361982924648448e+16, "train_batch_size": 16, "trial_name": null, "trial_params": { "learning_rate": 0.0003169867567865432, "lora_alpha": 64, "lora_dropout": 0.07955181572910565, "lora_r": 256, "num_train_epochs": 6, "weight_decay": 0.07964841643272833 } }