{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.8662696264212236, "eval_steps": 500, "global_step": 8000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02707092582566324, "grad_norm": 0.9713733196258545, "learning_rate": 9.910124526258799e-05, "loss": 3.4945, "step": 250 }, { "epoch": 0.05414185165132648, "grad_norm": 0.9521434307098389, "learning_rate": 9.819888106839921e-05, "loss": 3.5097, "step": 500 }, { "epoch": 0.05414185165132648, "eval_loss": 2.95473575592041, "eval_runtime": 87.829, "eval_samples_per_second": 112.15, "eval_steps_per_second": 7.014, "step": 500 }, { "epoch": 0.08121277747698971, "grad_norm": 0.9334385395050049, "learning_rate": 9.729651687421044e-05, "loss": 3.4922, "step": 750 }, { "epoch": 0.10828370330265295, "grad_norm": 1.2239603996276855, "learning_rate": 9.639415268002166e-05, "loss": 3.477, "step": 1000 }, { "epoch": 0.10828370330265295, "eval_loss": 2.9319565296173096, "eval_runtime": 87.8964, "eval_samples_per_second": 112.064, "eval_steps_per_second": 7.008, "step": 1000 }, { "epoch": 0.1353546291283162, "grad_norm": 1.1727226972579956, "learning_rate": 9.549178848583288e-05, "loss": 3.493, "step": 1250 }, { "epoch": 0.16242555495397942, "grad_norm": 0.966973602771759, "learning_rate": 9.458942429164411e-05, "loss": 3.5013, "step": 1500 }, { "epoch": 0.16242555495397942, "eval_loss": 2.9275825023651123, "eval_runtime": 87.899, "eval_samples_per_second": 112.06, "eval_steps_per_second": 7.008, "step": 1500 }, { "epoch": 0.18949648077964265, "grad_norm": 0.9813922047615051, "learning_rate": 9.368706009745533e-05, "loss": 3.4907, "step": 1750 }, { "epoch": 0.2165674066053059, "grad_norm": 1.027085542678833, "learning_rate": 9.278469590326656e-05, "loss": 3.4588, "step": 2000 }, { "epoch": 0.2165674066053059, "eval_loss": 2.9044992923736572, "eval_runtime": 87.8776, "eval_samples_per_second": 112.088, "eval_steps_per_second": 7.01, "step": 2000 }, { "epoch": 0.24363833243096913, "grad_norm": 1.0764214992523193, "learning_rate": 9.188233170907778e-05, "loss": 3.4531, "step": 2250 }, { "epoch": 0.2707092582566324, "grad_norm": 1.0297119617462158, "learning_rate": 9.0979967514889e-05, "loss": 3.4445, "step": 2500 }, { "epoch": 0.2707092582566324, "eval_loss": 2.8855738639831543, "eval_runtime": 87.8728, "eval_samples_per_second": 112.094, "eval_steps_per_second": 7.01, "step": 2500 }, { "epoch": 0.2977801840822956, "grad_norm": 0.9697523713111877, "learning_rate": 9.007760332070024e-05, "loss": 3.4349, "step": 2750 }, { "epoch": 0.32485110990795885, "grad_norm": 0.9611329436302185, "learning_rate": 8.917523912651147e-05, "loss": 3.4213, "step": 3000 }, { "epoch": 0.32485110990795885, "eval_loss": 2.8725759983062744, "eval_runtime": 87.9054, "eval_samples_per_second": 112.052, "eval_steps_per_second": 7.008, "step": 3000 }, { "epoch": 0.3519220357336221, "grad_norm": 1.000977873802185, "learning_rate": 8.827287493232269e-05, "loss": 3.4239, "step": 3250 }, { "epoch": 0.3789929615592853, "grad_norm": 1.0573837757110596, "learning_rate": 8.737051073813391e-05, "loss": 3.4015, "step": 3500 }, { "epoch": 0.3789929615592853, "eval_loss": 2.8721706867218018, "eval_runtime": 87.8848, "eval_samples_per_second": 112.078, "eval_steps_per_second": 7.009, "step": 3500 }, { "epoch": 0.4060638873849486, "grad_norm": 0.9532322883605957, "learning_rate": 8.646814654394514e-05, "loss": 3.401, "step": 3750 }, { "epoch": 0.4331348132106118, "grad_norm": 1.0036464929580688, "learning_rate": 8.556578234975636e-05, "loss": 3.3984, "step": 4000 }, { "epoch": 0.4331348132106118, "eval_loss": 2.863417863845825, "eval_runtime": 87.8316, "eval_samples_per_second": 112.146, "eval_steps_per_second": 7.013, "step": 4000 }, { "epoch": 0.46020573903627504, "grad_norm": 0.8860335350036621, "learning_rate": 8.466341815556758e-05, "loss": 3.4081, "step": 4250 }, { "epoch": 0.48727666486193827, "grad_norm": 1.4852999448776245, "learning_rate": 8.376105396137882e-05, "loss": 3.4105, "step": 4500 }, { "epoch": 0.48727666486193827, "eval_loss": 2.8409109115600586, "eval_runtime": 87.9025, "eval_samples_per_second": 112.056, "eval_steps_per_second": 7.008, "step": 4500 }, { "epoch": 0.5143475906876015, "grad_norm": 0.936912477016449, "learning_rate": 8.285868976719005e-05, "loss": 3.3952, "step": 4750 }, { "epoch": 0.5414185165132648, "grad_norm": 1.0409356355667114, "learning_rate": 8.195632557300127e-05, "loss": 3.4039, "step": 5000 }, { "epoch": 0.5414185165132648, "eval_loss": 2.8329713344573975, "eval_runtime": 87.8287, "eval_samples_per_second": 112.15, "eval_steps_per_second": 7.014, "step": 5000 }, { "epoch": 0.568489442338928, "grad_norm": 0.9606480002403259, "learning_rate": 8.10539613788125e-05, "loss": 3.3819, "step": 5250 }, { "epoch": 0.5955603681645912, "grad_norm": 1.142527461051941, "learning_rate": 8.015159718462372e-05, "loss": 3.3898, "step": 5500 }, { "epoch": 0.5955603681645912, "eval_loss": 2.8344321250915527, "eval_runtime": 87.8057, "eval_samples_per_second": 112.18, "eval_steps_per_second": 7.015, "step": 5500 }, { "epoch": 0.6226312939902545, "grad_norm": 1.2294474840164185, "learning_rate": 7.924923299043494e-05, "loss": 3.3769, "step": 5750 }, { "epoch": 0.6497022198159177, "grad_norm": 1.0300960540771484, "learning_rate": 7.834686879624617e-05, "loss": 3.3621, "step": 6000 }, { "epoch": 0.6497022198159177, "eval_loss": 2.8137757778167725, "eval_runtime": 87.8367, "eval_samples_per_second": 112.14, "eval_steps_per_second": 7.013, "step": 6000 }, { "epoch": 0.676773145641581, "grad_norm": 1.076827883720398, "learning_rate": 7.74445046020574e-05, "loss": 3.3704, "step": 6250 }, { "epoch": 0.7038440714672441, "grad_norm": 1.4118528366088867, "learning_rate": 7.654214040786863e-05, "loss": 3.367, "step": 6500 }, { "epoch": 0.7038440714672441, "eval_loss": 2.8218181133270264, "eval_runtime": 87.9044, "eval_samples_per_second": 112.053, "eval_steps_per_second": 7.008, "step": 6500 }, { "epoch": 0.7309149972929074, "grad_norm": 1.0568158626556396, "learning_rate": 7.563977621367985e-05, "loss": 3.3509, "step": 6750 }, { "epoch": 0.7579859231185706, "grad_norm": 1.0436064004898071, "learning_rate": 7.473741201949108e-05, "loss": 3.3496, "step": 7000 }, { "epoch": 0.7579859231185706, "eval_loss": 2.8048973083496094, "eval_runtime": 87.8448, "eval_samples_per_second": 112.13, "eval_steps_per_second": 7.012, "step": 7000 }, { "epoch": 0.7850568489442339, "grad_norm": 0.9466687440872192, "learning_rate": 7.38350478253023e-05, "loss": 3.3381, "step": 7250 }, { "epoch": 0.8121277747698972, "grad_norm": 0.9336101412773132, "learning_rate": 7.293268363111352e-05, "loss": 3.3394, "step": 7500 }, { "epoch": 0.8121277747698972, "eval_loss": 2.80117130279541, "eval_runtime": 87.8737, "eval_samples_per_second": 112.093, "eval_steps_per_second": 7.01, "step": 7500 }, { "epoch": 0.8391987005955603, "grad_norm": 1.0283994674682617, "learning_rate": 7.203031943692475e-05, "loss": 3.3379, "step": 7750 }, { "epoch": 0.8662696264212236, "grad_norm": 0.9297059774398804, "learning_rate": 7.112795524273597e-05, "loss": 3.3196, "step": 8000 }, { "epoch": 0.8662696264212236, "eval_loss": 2.8071343898773193, "eval_runtime": 87.7691, "eval_samples_per_second": 112.226, "eval_steps_per_second": 7.018, "step": 8000 } ], "logging_steps": 250, "max_steps": 27705, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 1000, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 2888432615424000.0, "train_batch_size": 16, "trial_name": null, "trial_params": null }