{ "best_metric": null, "best_model_checkpoint": null, "epoch": 0.9985211475894705, "eval_steps": 500, "global_step": 422, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.023661638568470866, "grad_norm": 6.501171170453925, "learning_rate": 5e-06, "loss": 0.8881, "step": 10 }, { "epoch": 0.04732327713694173, "grad_norm": 5.9691618342357975, "learning_rate": 5e-06, "loss": 0.7939, "step": 20 }, { "epoch": 0.0709849157054126, "grad_norm": 3.800672425152988, "learning_rate": 5e-06, "loss": 0.7688, "step": 30 }, { "epoch": 0.09464655427388347, "grad_norm": 1.0801121583577953, "learning_rate": 5e-06, "loss": 0.7473, "step": 40 }, { "epoch": 0.11830819284235433, "grad_norm": 0.9685892726062331, "learning_rate": 5e-06, "loss": 0.7309, "step": 50 }, { "epoch": 0.1419698314108252, "grad_norm": 0.7335129796923299, "learning_rate": 5e-06, "loss": 0.7181, "step": 60 }, { "epoch": 0.16563146997929606, "grad_norm": 0.5463303979273281, "learning_rate": 5e-06, "loss": 0.7118, "step": 70 }, { "epoch": 0.18929310854776693, "grad_norm": 0.7971470498150557, "learning_rate": 5e-06, "loss": 0.7019, "step": 80 }, { "epoch": 0.2129547471162378, "grad_norm": 0.5202406996039837, "learning_rate": 5e-06, "loss": 0.6862, "step": 90 }, { "epoch": 0.23661638568470866, "grad_norm": 0.5912783446923657, "learning_rate": 5e-06, "loss": 0.6854, "step": 100 }, { "epoch": 0.26027802425317953, "grad_norm": 0.5421067803132418, "learning_rate": 5e-06, "loss": 0.6902, "step": 110 }, { "epoch": 0.2839396628216504, "grad_norm": 0.6577266833093017, "learning_rate": 5e-06, "loss": 0.6776, "step": 120 }, { "epoch": 0.30760130139012126, "grad_norm": 0.7220884795089095, "learning_rate": 5e-06, "loss": 0.6736, "step": 130 }, { "epoch": 0.33126293995859213, "grad_norm": 0.6298167534415481, "learning_rate": 5e-06, "loss": 0.6821, "step": 140 }, { "epoch": 0.354924578527063, "grad_norm": 0.6024637677965929, "learning_rate": 5e-06, "loss": 0.6647, "step": 150 }, { "epoch": 0.37858621709553386, "grad_norm": 0.5147721195366849, "learning_rate": 5e-06, "loss": 0.6691, "step": 160 }, { "epoch": 0.4022478556640047, "grad_norm": 0.7032904919994801, "learning_rate": 5e-06, "loss": 0.6672, "step": 170 }, { "epoch": 0.4259094942324756, "grad_norm": 0.5237180402877233, "learning_rate": 5e-06, "loss": 0.6739, "step": 180 }, { "epoch": 0.44957113280094646, "grad_norm": 0.5717691530030693, "learning_rate": 5e-06, "loss": 0.6698, "step": 190 }, { "epoch": 0.4732327713694173, "grad_norm": 0.4766660835336923, "learning_rate": 5e-06, "loss": 0.6688, "step": 200 }, { "epoch": 0.4968944099378882, "grad_norm": 0.6790711796986141, "learning_rate": 5e-06, "loss": 0.6695, "step": 210 }, { "epoch": 0.5205560485063591, "grad_norm": 0.5878534288094095, "learning_rate": 5e-06, "loss": 0.668, "step": 220 }, { "epoch": 0.54421768707483, "grad_norm": 0.4783030354173372, "learning_rate": 5e-06, "loss": 0.6603, "step": 230 }, { "epoch": 0.5678793256433008, "grad_norm": 0.5394816933853074, "learning_rate": 5e-06, "loss": 0.6645, "step": 240 }, { "epoch": 0.5915409642117717, "grad_norm": 0.6757841342023195, "learning_rate": 5e-06, "loss": 0.6616, "step": 250 }, { "epoch": 0.6152026027802425, "grad_norm": 0.620819409974346, "learning_rate": 5e-06, "loss": 0.652, "step": 260 }, { "epoch": 0.6388642413487134, "grad_norm": 0.4646800950253652, "learning_rate": 5e-06, "loss": 0.6639, "step": 270 }, { "epoch": 0.6625258799171843, "grad_norm": 0.584735854517762, "learning_rate": 5e-06, "loss": 0.6651, "step": 280 }, { "epoch": 0.6861875184856552, "grad_norm": 0.4893625135857586, "learning_rate": 5e-06, "loss": 0.6596, "step": 290 }, { "epoch": 0.709849157054126, "grad_norm": 0.6392477367293743, "learning_rate": 5e-06, "loss": 0.6535, "step": 300 }, { "epoch": 0.7335107956225969, "grad_norm": 0.5580856537983637, "learning_rate": 5e-06, "loss": 0.6619, "step": 310 }, { "epoch": 0.7571724341910677, "grad_norm": 0.6586565023491409, "learning_rate": 5e-06, "loss": 0.6556, "step": 320 }, { "epoch": 0.7808340727595386, "grad_norm": 0.7017087820497026, "learning_rate": 5e-06, "loss": 0.6541, "step": 330 }, { "epoch": 0.8044957113280095, "grad_norm": 0.6201315444988488, "learning_rate": 5e-06, "loss": 0.6538, "step": 340 }, { "epoch": 0.8281573498964804, "grad_norm": 0.5419722366809865, "learning_rate": 5e-06, "loss": 0.6602, "step": 350 }, { "epoch": 0.8518189884649512, "grad_norm": 0.47923619949498586, "learning_rate": 5e-06, "loss": 0.6537, "step": 360 }, { "epoch": 0.8754806270334221, "grad_norm": 0.48623500055139035, "learning_rate": 5e-06, "loss": 0.6565, "step": 370 }, { "epoch": 0.8991422656018929, "grad_norm": 0.4927729455615553, "learning_rate": 5e-06, "loss": 0.6477, "step": 380 }, { "epoch": 0.9228039041703638, "grad_norm": 0.47069043398418653, "learning_rate": 5e-06, "loss": 0.6552, "step": 390 }, { "epoch": 0.9464655427388347, "grad_norm": 0.5081907383490093, "learning_rate": 5e-06, "loss": 0.6464, "step": 400 }, { "epoch": 0.9701271813073056, "grad_norm": 0.4892217314838454, "learning_rate": 5e-06, "loss": 0.649, "step": 410 }, { "epoch": 0.9937888198757764, "grad_norm": 0.5410064668246478, "learning_rate": 5e-06, "loss": 0.648, "step": 420 }, { "epoch": 0.9985211475894705, "eval_loss": 0.6502951979637146, "eval_runtime": 446.2763, "eval_samples_per_second": 25.52, "eval_steps_per_second": 0.399, "step": 422 }, { "epoch": 0.9985211475894705, "step": 422, "total_flos": 706656337920000.0, "train_loss": 0.6818134089781774, "train_runtime": 24762.6241, "train_samples_per_second": 8.738, "train_steps_per_second": 0.017 } ], "logging_steps": 10, "max_steps": 422, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 706656337920000.0, "train_batch_size": 8, "trial_name": null, "trial_params": null }