{ "best_metric": 0.6927083333333334, "best_model_checkpoint": "Output_llama3_80-20/checkpoint-1440", "epoch": 20.0, "eval_steps": 500, "global_step": 1920, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.5625, "eval_balanced_accuracy": 0.5461538461538462, "eval_loss": 0.6857039928436279, "eval_runtime": 73.4129, "eval_samples_per_second": 2.615, "eval_steps_per_second": 0.327, "step": 96 }, { "epoch": 2.0, "eval_accuracy": 0.5833333333333334, "eval_balanced_accuracy": 0.5758314855875832, "eval_loss": 0.6683754324913025, "eval_runtime": 104.3141, "eval_samples_per_second": 1.841, "eval_steps_per_second": 0.23, "step": 192 }, { "epoch": 3.0, "eval_accuracy": 0.6197916666666666, "eval_balanced_accuracy": 0.6383647798742138, "eval_loss": 0.7166934609413147, "eval_runtime": 110.585, "eval_samples_per_second": 1.736, "eval_steps_per_second": 0.217, "step": 288 }, { "epoch": 4.0, "eval_accuracy": 0.625, "eval_balanced_accuracy": 0.6178571428571429, "eval_loss": 0.6334595084190369, "eval_runtime": 109.4964, "eval_samples_per_second": 1.753, "eval_steps_per_second": 0.219, "step": 384 }, { "epoch": 5.0, "eval_accuracy": 0.5989583333333334, "eval_balanced_accuracy": 0.6296716417910448, "eval_loss": 0.6574041843414307, "eval_runtime": 89.6626, "eval_samples_per_second": 2.141, "eval_steps_per_second": 0.268, "step": 480 }, { "epoch": 5.208333333333333, "grad_norm": 72.83433532714844, "learning_rate": 7.395833333333335e-06, "loss": 0.6776, "step": 500 }, { "epoch": 6.0, "eval_accuracy": 0.625, "eval_balanced_accuracy": 0.6168117269812186, "eval_loss": 0.6321956515312195, "eval_runtime": 106.1665, "eval_samples_per_second": 1.808, "eval_steps_per_second": 0.226, "step": 576 }, { "epoch": 7.0, "eval_accuracy": 0.609375, "eval_balanced_accuracy": 0.6114369501466275, "eval_loss": 0.6374137997627258, "eval_runtime": 107.701, "eval_samples_per_second": 1.783, "eval_steps_per_second": 0.223, "step": 672 }, { "epoch": 8.0, "eval_accuracy": 0.6354166666666666, "eval_balanced_accuracy": 0.6277777777777778, "eval_loss": 0.6261330246925354, "eval_runtime": 107.9832, "eval_samples_per_second": 1.778, "eval_steps_per_second": 0.222, "step": 768 }, { "epoch": 9.0, "eval_accuracy": 0.640625, "eval_balanced_accuracy": 0.6650742488776332, "eval_loss": 0.6289492249488831, "eval_runtime": 111.0235, "eval_samples_per_second": 1.729, "eval_steps_per_second": 0.216, "step": 864 }, { "epoch": 10.0, "eval_accuracy": 0.640625, "eval_balanced_accuracy": 0.6367950256354314, "eval_loss": 0.6082468628883362, "eval_runtime": 96.7719, "eval_samples_per_second": 1.984, "eval_steps_per_second": 0.248, "step": 960 }, { "epoch": 10.416666666666666, "grad_norm": 18.0618839263916, "learning_rate": 4.791666666666668e-06, "loss": 0.5732, "step": 1000 }, { "epoch": 11.0, "eval_accuracy": 0.6614583333333334, "eval_balanced_accuracy": 0.6552593256413128, "eval_loss": 0.603647768497467, "eval_runtime": 103.3538, "eval_samples_per_second": 1.858, "eval_steps_per_second": 0.232, "step": 1056 }, { "epoch": 12.0, "eval_accuracy": 0.6510416666666666, "eval_balanced_accuracy": 0.6869850746268656, "eval_loss": 0.6444854140281677, "eval_runtime": 107.7167, "eval_samples_per_second": 1.782, "eval_steps_per_second": 0.223, "step": 1152 }, { "epoch": 13.0, "eval_accuracy": 0.6875, "eval_balanced_accuracy": 0.6833333333333333, "eval_loss": 0.6093500852584839, "eval_runtime": 101.5591, "eval_samples_per_second": 1.891, "eval_steps_per_second": 0.236, "step": 1248 }, { "epoch": 14.0, "eval_accuracy": 0.6666666666666666, "eval_balanced_accuracy": 0.6607142857142857, "eval_loss": 0.6103670001029968, "eval_runtime": 113.5782, "eval_samples_per_second": 1.69, "eval_steps_per_second": 0.211, "step": 1344 }, { "epoch": 15.0, "eval_accuracy": 0.6927083333333334, "eval_balanced_accuracy": 0.6959704667751221, "eval_loss": 0.6553041338920593, "eval_runtime": 100.5241, "eval_samples_per_second": 1.91, "eval_steps_per_second": 0.239, "step": 1440 }, { "epoch": 15.625, "grad_norm": 14.87450885772705, "learning_rate": 2.1875000000000002e-06, "loss": 0.5144, "step": 1500 }, { "epoch": 16.0, "eval_accuracy": 0.6510416666666666, "eval_balanced_accuracy": 0.6603078614623419, "eval_loss": 0.6261806488037109, "eval_runtime": 106.7804, "eval_samples_per_second": 1.798, "eval_steps_per_second": 0.225, "step": 1536 }, { "epoch": 17.0, "eval_accuracy": 0.6666666666666666, "eval_balanced_accuracy": 0.6619131197893813, "eval_loss": 0.6154211163520813, "eval_runtime": 86.3959, "eval_samples_per_second": 2.222, "eval_steps_per_second": 0.278, "step": 1632 }, { "epoch": 18.0, "eval_accuracy": 0.6666666666666666, "eval_balanced_accuracy": 0.6619131197893813, "eval_loss": 0.6210435032844543, "eval_runtime": 88.4219, "eval_samples_per_second": 2.171, "eval_steps_per_second": 0.271, "step": 1728 }, { "epoch": 19.0, "eval_accuracy": 0.6770833333333334, "eval_balanced_accuracy": 0.6716186252771619, "eval_loss": 0.6292756795883179, "eval_runtime": 87.5484, "eval_samples_per_second": 2.193, "eval_steps_per_second": 0.274, "step": 1824 }, { "epoch": 20.0, "eval_accuracy": 0.6614583333333334, "eval_balanced_accuracy": 0.6563496426608026, "eval_loss": 0.6274305582046509, "eval_runtime": 65.5102, "eval_samples_per_second": 2.931, "eval_steps_per_second": 0.366, "step": 1920 }, { "epoch": 20.0, "step": 1920, "total_flos": 2.492453077307228e+17, "train_loss": 0.5602036555608113, "train_runtime": 27837.1599, "train_samples_per_second": 0.552, "train_steps_per_second": 0.069 } ], "logging_steps": 500, "max_steps": 1920, "num_input_tokens_seen": 0, "num_train_epochs": 20, "save_steps": 500, "stateful_callbacks": { "EarlyStoppingCallback": { "args": { "early_stopping_patience": 10, "early_stopping_threshold": 0.0 }, "attributes": { "early_stopping_patience_counter": 5 } }, "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 2.492453077307228e+17, "train_batch_size": 8, "trial_name": null, "trial_params": null }