{ "best_global_step": 2000, "best_metric": 0.37039539217948914, "best_model_checkpoint": "Assignment4_Distilled_ModernBERT/run-0/checkpoint-2000", "epoch": 4.1928721174004195, "eval_steps": 100, "global_step": 2000, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.20964360587002095, "grad_norm": 13.524835586547852, "learning_rate": 5.982303202015292e-05, "loss": 7.1794, "step": 100 }, { "epoch": 0.20964360587002095, "eval_accuracy": 0.7551612903225806, "eval_loss": 3.656074285507202, "eval_runtime": 27.0212, "eval_samples_per_second": 114.725, "eval_steps_per_second": 14.359, "step": 100 }, { "epoch": 0.4192872117400419, "grad_norm": 7.738944053649902, "learning_rate": 5.9287097231582686e-05, "loss": 2.6619, "step": 200 }, { "epoch": 0.4192872117400419, "eval_accuracy": 0.9035483870967742, "eval_loss": 1.7683824300765991, "eval_runtime": 24.4159, "eval_samples_per_second": 126.967, "eval_steps_per_second": 15.891, "step": 200 }, { "epoch": 0.6289308176100629, "grad_norm": 5.298769950866699, "learning_rate": 5.8398628698129085e-05, "loss": 1.4594, "step": 300 }, { "epoch": 0.6289308176100629, "eval_accuracy": 0.9451612903225807, "eval_loss": 1.1510082483291626, "eval_runtime": 24.2312, "eval_samples_per_second": 127.934, "eval_steps_per_second": 16.012, "step": 300 }, { "epoch": 0.8385744234800838, "grad_norm": 7.6655049324035645, "learning_rate": 5.71683210658621e-05, "loss": 1.0566, "step": 400 }, { "epoch": 0.8385744234800838, "eval_accuracy": 0.9551612903225807, "eval_loss": 0.9296484589576721, "eval_runtime": 24.2932, "eval_samples_per_second": 127.608, "eval_steps_per_second": 15.972, "step": 400 }, { "epoch": 1.0482180293501049, "grad_norm": 14.238273620605469, "learning_rate": 5.561098375592486e-05, "loss": 0.8012, "step": 500 }, { "epoch": 1.0482180293501049, "eval_accuracy": 0.96, "eval_loss": 0.7582064270973206, "eval_runtime": 24.3409, "eval_samples_per_second": 127.358, "eval_steps_per_second": 15.94, "step": 500 }, { "epoch": 1.2578616352201257, "grad_norm": 2.1679141521453857, "learning_rate": 5.3745362701025445e-05, "loss": 0.5647, "step": 600 }, { "epoch": 1.2578616352201257, "eval_accuracy": 0.9661290322580646, "eval_loss": 0.6347441077232361, "eval_runtime": 25.9162, "eval_samples_per_second": 119.616, "eval_steps_per_second": 14.971, "step": 600 }, { "epoch": 1.4675052410901468, "grad_norm": 3.5543723106384277, "learning_rate": 5.1593914697473044e-05, "loss": 0.5087, "step": 700 }, { "epoch": 1.4675052410901468, "eval_accuracy": 0.9593548387096774, "eval_loss": 0.6069635152816772, "eval_runtime": 24.4377, "eval_samples_per_second": 126.853, "eval_steps_per_second": 15.877, "step": 700 }, { "epoch": 1.6771488469601676, "grad_norm": 2.1209726333618164, "learning_rate": 4.918253708892097e-05, "loss": 0.4459, "step": 800 }, { "epoch": 1.6771488469601676, "eval_accuracy": 0.9619354838709677, "eval_loss": 0.5518479347229004, "eval_runtime": 24.5853, "eval_samples_per_second": 126.092, "eval_steps_per_second": 15.782, "step": 800 }, { "epoch": 1.8867924528301887, "grad_norm": 7.709955215454102, "learning_rate": 4.654025603565916e-05, "loss": 0.4246, "step": 900 }, { "epoch": 1.8867924528301887, "eval_accuracy": 0.9693548387096774, "eval_loss": 0.5302325487136841, "eval_runtime": 24.3067, "eval_samples_per_second": 127.537, "eval_steps_per_second": 15.963, "step": 900 }, { "epoch": 2.0964360587002098, "grad_norm": 4.7413787841796875, "learning_rate": 4.3698877121811395e-05, "loss": 0.3684, "step": 1000 }, { "epoch": 2.0964360587002098, "eval_accuracy": 0.967741935483871, "eval_loss": 0.4881534278392792, "eval_runtime": 24.3233, "eval_samples_per_second": 127.45, "eval_steps_per_second": 15.952, "step": 1000 }, { "epoch": 2.3060796645702304, "grad_norm": 1.3662949800491333, "learning_rate": 4.069260250613759e-05, "loss": 0.2996, "step": 1100 }, { "epoch": 2.3060796645702304, "eval_accuracy": 0.9696774193548388, "eval_loss": 0.4698588252067566, "eval_runtime": 26.4097, "eval_samples_per_second": 117.381, "eval_steps_per_second": 14.692, "step": 1100 }, { "epoch": 2.5157232704402515, "grad_norm": 2.2415976524353027, "learning_rate": 3.755761922486161e-05, "loss": 0.3004, "step": 1200 }, { "epoch": 2.5157232704402515, "eval_accuracy": 0.9690322580645161, "eval_loss": 0.4617905616760254, "eval_runtime": 24.5627, "eval_samples_per_second": 126.208, "eval_steps_per_second": 15.796, "step": 1200 }, { "epoch": 2.7253668763102725, "grad_norm": 1.3881778717041016, "learning_rate": 3.433166360219327e-05, "loss": 0.2721, "step": 1300 }, { "epoch": 2.7253668763102725, "eval_accuracy": 0.9696774193548388, "eval_loss": 0.4343847632408142, "eval_runtime": 24.5311, "eval_samples_per_second": 126.37, "eval_steps_per_second": 15.817, "step": 1300 }, { "epoch": 2.9350104821802936, "grad_norm": 1.2978781461715698, "learning_rate": 3.1053567011808615e-05, "loss": 0.2591, "step": 1400 }, { "epoch": 2.9350104821802936, "eval_accuracy": 0.97, "eval_loss": 0.418453186750412, "eval_runtime": 24.631, "eval_samples_per_second": 125.858, "eval_steps_per_second": 15.752, "step": 1400 }, { "epoch": 3.1446540880503147, "grad_norm": 1.3791582584381104, "learning_rate": 2.776278845703461e-05, "loss": 0.2313, "step": 1500 }, { "epoch": 3.1446540880503147, "eval_accuracy": 0.9693548387096774, "eval_loss": 0.40362659096717834, "eval_runtime": 24.4944, "eval_samples_per_second": 126.56, "eval_steps_per_second": 15.84, "step": 1500 }, { "epoch": 3.3542976939203353, "grad_norm": 1.2525160312652588, "learning_rate": 2.44989395961494e-05, "loss": 0.2179, "step": 1600 }, { "epoch": 3.3542976939203353, "eval_accuracy": 0.9706451612903226, "eval_loss": 0.3979440927505493, "eval_runtime": 26.4009, "eval_samples_per_second": 117.42, "eval_steps_per_second": 14.696, "step": 1600 }, { "epoch": 3.5639412997903563, "grad_norm": 0.8602608442306519, "learning_rate": 2.130130793014917e-05, "loss": 0.2074, "step": 1700 }, { "epoch": 3.5639412997903563, "eval_accuracy": 0.9690322580645161, "eval_loss": 0.3927501142024994, "eval_runtime": 24.7417, "eval_samples_per_second": 125.295, "eval_steps_per_second": 15.682, "step": 1700 }, { "epoch": 3.7735849056603774, "grad_norm": 0.9303811192512512, "learning_rate": 1.8208383892451047e-05, "loss": 0.204, "step": 1800 }, { "epoch": 3.7735849056603774, "eval_accuracy": 0.97, "eval_loss": 0.3800348937511444, "eval_runtime": 24.5036, "eval_samples_per_second": 126.512, "eval_steps_per_second": 15.834, "step": 1800 }, { "epoch": 3.9832285115303985, "grad_norm": 2.1014115810394287, "learning_rate": 1.525739753303325e-05, "loss": 0.202, "step": 1900 }, { "epoch": 3.9832285115303985, "eval_accuracy": 0.9709677419354839, "eval_loss": 0.37354010343551636, "eval_runtime": 24.7707, "eval_samples_per_second": 125.148, "eval_steps_per_second": 15.664, "step": 1900 }, { "epoch": 4.1928721174004195, "grad_norm": 0.7623395919799805, "learning_rate": 1.2483870374024092e-05, "loss": 0.1776, "step": 2000 }, { "epoch": 4.1928721174004195, "eval_accuracy": 0.9703225806451613, "eval_loss": 0.37039539217948914, "eval_runtime": 24.6812, "eval_samples_per_second": 125.602, "eval_steps_per_second": 15.72, "step": 2000 } ], "logging_steps": 100, "max_steps": 2862, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 896601881570736.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.43742261757664425, "num_train_epochs": 6, "temperature": 7 } }