{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.009844336430197501, "eval_steps": 5, "global_step": 20, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0004922168215098751, "grad_norm": 0.9545145630836487, "learning_rate": 1e-05, "loss": 0.7725, "step": 1 }, { "epoch": 0.0004922168215098751, "eval_loss": 0.8794116973876953, "eval_runtime": 188.7707, "eval_samples_per_second": 18.128, "eval_steps_per_second": 9.064, "step": 1 }, { "epoch": 0.0009844336430197501, "grad_norm": 0.8624743223190308, "learning_rate": 2e-05, "loss": 0.7692, "step": 2 }, { "epoch": 0.0014766504645296252, "grad_norm": 0.7749966382980347, "learning_rate": 3e-05, "loss": 0.7575, "step": 3 }, { "epoch": 0.0019688672860395003, "grad_norm": 0.7187788486480713, "learning_rate": 4e-05, "loss": 0.6767, "step": 4 }, { "epoch": 0.0024610841075493753, "grad_norm": 0.7192044854164124, "learning_rate": 5e-05, "loss": 0.6997, "step": 5 }, { "epoch": 0.0024610841075493753, "eval_loss": 0.7504404783248901, "eval_runtime": 102.4307, "eval_samples_per_second": 33.408, "eval_steps_per_second": 16.704, "step": 5 }, { "epoch": 0.0029533009290592504, "grad_norm": 0.7936996817588806, "learning_rate": 6e-05, "loss": 0.7108, "step": 6 }, { "epoch": 0.003445517750569126, "grad_norm": 0.7949678301811218, "learning_rate": 7e-05, "loss": 0.6656, "step": 7 }, { "epoch": 0.0039377345720790005, "grad_norm": 0.6918225288391113, "learning_rate": 8e-05, "loss": 0.4623, "step": 8 }, { "epoch": 0.004429951393588876, "grad_norm": 0.9470645189285278, "learning_rate": 9e-05, "loss": 0.4808, "step": 9 }, { "epoch": 0.004922168215098751, "grad_norm": 1.2205185890197754, "learning_rate": 0.0001, "loss": 0.4456, "step": 10 }, { "epoch": 0.004922168215098751, "eval_loss": 0.28611862659454346, "eval_runtime": 102.5815, "eval_samples_per_second": 33.359, "eval_steps_per_second": 16.679, "step": 10 }, { "epoch": 0.005414385036608626, "grad_norm": 0.9904372692108154, "learning_rate": 9.755282581475769e-05, "loss": 0.2681, "step": 11 }, { "epoch": 0.005906601858118501, "grad_norm": 1.1141595840454102, "learning_rate": 9.045084971874738e-05, "loss": 0.1601, "step": 12 }, { "epoch": 0.006398818679628377, "grad_norm": 0.5964771509170532, "learning_rate": 7.938926261462366e-05, "loss": 0.097, "step": 13 }, { "epoch": 0.006891035501138252, "grad_norm": 0.49781107902526855, "learning_rate": 6.545084971874738e-05, "loss": 0.0517, "step": 14 }, { "epoch": 0.007383252322648127, "grad_norm": 0.4129631221294403, "learning_rate": 5e-05, "loss": 0.0329, "step": 15 }, { "epoch": 0.007383252322648127, "eval_loss": 0.018943211063742638, "eval_runtime": 102.3977, "eval_samples_per_second": 33.419, "eval_steps_per_second": 16.709, "step": 15 }, { "epoch": 0.007875469144158001, "grad_norm": 0.32676512002944946, "learning_rate": 3.4549150281252636e-05, "loss": 0.0197, "step": 16 }, { "epoch": 0.008367685965667877, "grad_norm": 0.2452167570590973, "learning_rate": 2.061073738537635e-05, "loss": 0.0112, "step": 17 }, { "epoch": 0.008859902787177751, "grad_norm": 0.17988842725753784, "learning_rate": 9.549150281252633e-06, "loss": 0.0089, "step": 18 }, { "epoch": 0.009352119608687627, "grad_norm": 0.2163618505001068, "learning_rate": 2.4471741852423237e-06, "loss": 0.0091, "step": 19 }, { "epoch": 0.009844336430197501, "grad_norm": 0.17688779532909393, "learning_rate": 0.0, "loss": 0.0077, "step": 20 }, { "epoch": 0.009844336430197501, "eval_loss": 0.008986509405076504, "eval_runtime": 102.424, "eval_samples_per_second": 33.41, "eval_steps_per_second": 16.705, "step": 20 } ], "logging_steps": 1, "max_steps": 20, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 5, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 1.844940337525555e+16, "train_batch_size": 2, "trial_name": null, "trial_params": null }