{ "best_metric": 1.3153774738311768, "best_model_checkpoint": "./output/checkpoints/2024-06-11_10-50-46/checkpoint-10", "epoch": 1.0, "eval_steps": 1, "global_step": 18, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.05555555555555555, "grad_norm": 1.9254094362258911, "learning_rate": 0.0002, "loss": 3.544, "step": 1 }, { "epoch": 0.05555555555555555, "eval_loss": 3.981394052505493, "eval_runtime": 12.6022, "eval_samples_per_second": 11.347, "eval_steps_per_second": 0.714, "step": 1 }, { "epoch": 0.1111111111111111, "grad_norm": 2.0063693523406982, "learning_rate": 0.0004, "loss": 3.6373, "step": 2 }, { "epoch": 0.1111111111111111, "eval_loss": 3.173820972442627, "eval_runtime": 12.6737, "eval_samples_per_second": 11.283, "eval_steps_per_second": 0.71, "step": 2 }, { "epoch": 0.16666666666666666, "grad_norm": 2.0154714584350586, "learning_rate": 0.000375, "loss": 2.7246, "step": 3 }, { "epoch": 0.16666666666666666, "eval_loss": 1.9138473272323608, "eval_runtime": 12.6464, "eval_samples_per_second": 11.308, "eval_steps_per_second": 0.712, "step": 3 }, { "epoch": 0.2222222222222222, "grad_norm": 1.1926450729370117, "learning_rate": 0.00035, "loss": 1.4998, "step": 4 }, { "epoch": 0.2222222222222222, "eval_loss": 1.4986788034439087, "eval_runtime": 12.7087, "eval_samples_per_second": 11.252, "eval_steps_per_second": 0.708, "step": 4 }, { "epoch": 0.2777777777777778, "grad_norm": 0.8283662796020508, "learning_rate": 0.00032500000000000004, "loss": 1.1373, "step": 5 }, { "epoch": 0.2777777777777778, "eval_loss": 1.3153411149978638, "eval_runtime": 12.7034, "eval_samples_per_second": 11.257, "eval_steps_per_second": 0.708, "step": 5 }, { "epoch": 0.3333333333333333, "grad_norm": 0.6860641241073608, "learning_rate": 0.00030000000000000003, "loss": 0.9828, "step": 6 }, { "epoch": 0.3333333333333333, "eval_loss": 1.247497797012329, "eval_runtime": 12.6669, "eval_samples_per_second": 11.289, "eval_steps_per_second": 0.711, "step": 6 }, { "epoch": 0.3888888888888889, "grad_norm": 0.2969834506511688, "learning_rate": 0.000275, "loss": 0.91, "step": 7 }, { "epoch": 0.3888888888888889, "eval_loss": 1.2433477640151978, "eval_runtime": 12.6841, "eval_samples_per_second": 11.274, "eval_steps_per_second": 0.71, "step": 7 }, { "epoch": 0.4444444444444444, "grad_norm": 0.1941613256931305, "learning_rate": 0.00025, "loss": 0.839, "step": 8 }, { "epoch": 0.4444444444444444, "eval_loss": 1.2696853876113892, "eval_runtime": 12.7426, "eval_samples_per_second": 11.222, "eval_steps_per_second": 0.706, "step": 8 }, { "epoch": 0.5, "grad_norm": 0.19763241708278656, "learning_rate": 0.00022500000000000002, "loss": 0.7744, "step": 9 }, { "epoch": 0.5, "eval_loss": 1.3031294345855713, "eval_runtime": 12.7085, "eval_samples_per_second": 11.252, "eval_steps_per_second": 0.708, "step": 9 }, { "epoch": 0.5555555555555556, "grad_norm": 0.20671840012073517, "learning_rate": 0.0002, "loss": 0.7289, "step": 10 }, { "epoch": 0.5555555555555556, "eval_loss": 1.3153774738311768, "eval_runtime": 12.6745, "eval_samples_per_second": 11.283, "eval_steps_per_second": 0.71, "step": 10 }, { "epoch": 0.6111111111111112, "grad_norm": 0.20304171741008759, "learning_rate": 0.000175, "loss": 0.7123, "step": 11 }, { "epoch": 0.6111111111111112, "eval_loss": 1.3239251375198364, "eval_runtime": 12.736, "eval_samples_per_second": 11.228, "eval_steps_per_second": 0.707, "step": 11 }, { "epoch": 0.6666666666666666, "grad_norm": 0.17941166460514069, "learning_rate": 0.00015000000000000001, "loss": 0.6761, "step": 12 }, { "epoch": 0.6666666666666666, "eval_loss": 1.3320614099502563, "eval_runtime": 12.7074, "eval_samples_per_second": 11.253, "eval_steps_per_second": 0.708, "step": 12 }, { "epoch": 0.7222222222222222, "grad_norm": 0.12196698784828186, "learning_rate": 0.000125, "loss": 0.6576, "step": 13 }, { "epoch": 0.7222222222222222, "eval_loss": 1.3407816886901855, "eval_runtime": 12.7455, "eval_samples_per_second": 11.22, "eval_steps_per_second": 0.706, "step": 13 }, { "epoch": 0.7777777777777778, "grad_norm": 0.09605628997087479, "learning_rate": 0.0001, "loss": 0.6529, "step": 14 }, { "epoch": 0.7777777777777778, "eval_loss": 1.3476217985153198, "eval_runtime": 12.7567, "eval_samples_per_second": 11.21, "eval_steps_per_second": 0.706, "step": 14 }, { "epoch": 0.8333333333333334, "grad_norm": 0.12586502730846405, "learning_rate": 7.500000000000001e-05, "loss": 0.6339, "step": 15 }, { "epoch": 0.8333333333333334, "eval_loss": 1.3515379428863525, "eval_runtime": 12.6504, "eval_samples_per_second": 11.304, "eval_steps_per_second": 0.711, "step": 15 }, { "epoch": 0.8888888888888888, "grad_norm": 0.1299675554037094, "learning_rate": 5e-05, "loss": 0.6455, "step": 16 }, { "epoch": 0.8888888888888888, "eval_loss": 1.3539159297943115, "eval_runtime": 12.7843, "eval_samples_per_second": 11.186, "eval_steps_per_second": 0.704, "step": 16 }, { "epoch": 0.9444444444444444, "grad_norm": 0.1078740730881691, "learning_rate": 2.5e-05, "loss": 0.6501, "step": 17 }, { "epoch": 0.9444444444444444, "eval_loss": 1.3558857440948486, "eval_runtime": 12.6716, "eval_samples_per_second": 11.285, "eval_steps_per_second": 0.71, "step": 17 }, { "epoch": 1.0, "grad_norm": 0.15631119906902313, "learning_rate": 0.0, "loss": 0.6519, "step": 18 }, { "epoch": 1.0, "eval_loss": 1.357097864151001, "eval_runtime": 12.7301, "eval_samples_per_second": 11.233, "eval_steps_per_second": 0.707, "step": 18 }, { "epoch": 1.0, "step": 18, "total_flos": 6363119354904576.0, "train_loss": 1.2254687315887876, "train_runtime": 391.2151, "train_samples_per_second": 1.403, "train_steps_per_second": 0.046 } ], "logging_steps": 1, "max_steps": 18, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 10, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 6363119354904576.0, "train_batch_size": 32, "trial_name": null, "trial_params": null }