{ "best_metric": 3.0729734897613525, "best_model_checkpoint": "/home/datta0/models/lora_final/gemma-2-9b_pct_reverse/checkpoint-8", "epoch": 0.020603621730382295, "eval_steps": 8, "global_step": 8, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.002575452716297787, "grad_norm": 10.251696586608887, "learning_rate": 1.25e-05, "loss": 2.1764, "step": 1 }, { "epoch": 0.010301810865191148, "grad_norm": 8.478413581848145, "learning_rate": 5e-05, "loss": 2.2413, "step": 4 }, { "epoch": 0.020603621730382295, "grad_norm": 7.021224021911621, "learning_rate": 0.0001, "loss": 2.3931, "step": 8 }, { "epoch": 0.020603621730382295, "eval_loss": 3.0729734897613525, "eval_runtime": 708.7312, "eval_samples_per_second": 0.346, "eval_steps_per_second": 0.346, "step": 8 } ], "logging_steps": 4, "max_steps": 388, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 8, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 1.2054397461528576e+16, "train_batch_size": 1, "trial_name": null, "trial_params": null }