{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 5.0, "eval_steps": 1000, "global_step": 27575, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.00018132366273798732, "grad_norm": 7.9868855476379395, "learning_rate": 0.0, "loss": 3.5226, "step": 1 }, { "epoch": 0.1813236627379873, "grad_norm": 6.11737060546875, "learning_rate": 7.2443799854967376e-06, "loss": 2.9981, "step": 1000 }, { "epoch": 0.1813236627379873, "eval_cosine_accuracy": 0.9449994564056396, "eval_loss": 0.5478581190109253, "eval_runtime": 35.5173, "eval_samples_per_second": 267.728, "eval_steps_per_second": 2.112, "step": 1000 }, { "epoch": 0.3626473254759746, "grad_norm": 6.732676029205322, "learning_rate": 1.4496011602610589e-05, "loss": 2.3032, "step": 2000 }, { "epoch": 0.3626473254759746, "eval_cosine_accuracy": 0.9554106593132019, "eval_loss": 0.4920719563961029, "eval_runtime": 35.1849, "eval_samples_per_second": 270.258, "eval_steps_per_second": 2.132, "step": 2000 }, { "epoch": 0.543970988213962, "grad_norm": 7.598336696624756, "learning_rate": 1.980577829713503e-05, "loss": 1.8788, "step": 3000 }, { "epoch": 0.543970988213962, "eval_cosine_accuracy": 0.9590913653373718, "eval_loss": 0.45673736929893494, "eval_runtime": 35.2853, "eval_samples_per_second": 269.489, "eval_steps_per_second": 2.126, "step": 3000 }, { "epoch": 0.7252946509519492, "grad_norm": 10.34838581085205, "learning_rate": 1.8999879115122698e-05, "loss": 1.2997, "step": 4000 }, { "epoch": 0.7252946509519492, "eval_cosine_accuracy": 0.954990029335022, "eval_loss": 0.45149004459381104, "eval_runtime": 35.2489, "eval_samples_per_second": 269.768, "eval_steps_per_second": 2.128, "step": 4000 }, { "epoch": 0.9066183136899365, "grad_norm": 8.401123046875, "learning_rate": 1.8195591731474395e-05, "loss": 0.9457, "step": 5000 }, { "epoch": 0.9066183136899365, "eval_cosine_accuracy": 0.9530970454216003, "eval_loss": 0.44349202513694763, "eval_runtime": 35.1475, "eval_samples_per_second": 270.546, "eval_steps_per_second": 2.134, "step": 5000 }, { "epoch": 1.087941976427924, "grad_norm": 5.8470964431762695, "learning_rate": 1.7389692549462062e-05, "loss": 1.2109, "step": 6000 }, { "epoch": 1.087941976427924, "eval_cosine_accuracy": 0.9660322070121765, "eval_loss": 0.41235095262527466, "eval_runtime": 36.052, "eval_samples_per_second": 263.758, "eval_steps_per_second": 2.08, "step": 6000 }, { "epoch": 1.2692656391659112, "grad_norm": 5.963912010192871, "learning_rate": 1.6583793367449733e-05, "loss": 1.4479, "step": 7000 }, { "epoch": 1.2692656391659112, "eval_cosine_accuracy": 0.9669786691665649, "eval_loss": 0.4111262857913971, "eval_runtime": 35.6318, "eval_samples_per_second": 266.868, "eval_steps_per_second": 2.105, "step": 7000 }, { "epoch": 1.4505893019038985, "grad_norm": 5.44882345199585, "learning_rate": 1.5777894185437403e-05, "loss": 1.3188, "step": 8000 }, { "epoch": 1.4505893019038985, "eval_cosine_accuracy": 0.968766450881958, "eval_loss": 0.41267701983451843, "eval_runtime": 35.5881, "eval_samples_per_second": 267.196, "eval_steps_per_second": 2.107, "step": 8000 }, { "epoch": 1.6319129646418857, "grad_norm": 6.824221611022949, "learning_rate": 1.4972800902607086e-05, "loss": 1.1122, "step": 9000 }, { "epoch": 1.6319129646418857, "eval_cosine_accuracy": 0.9656115174293518, "eval_loss": 0.4086419939994812, "eval_runtime": 35.9831, "eval_samples_per_second": 264.263, "eval_steps_per_second": 2.084, "step": 9000 }, { "epoch": 1.8132366273798732, "grad_norm": 8.42564868927002, "learning_rate": 1.4166901720594754e-05, "loss": 0.7841, "step": 10000 }, { "epoch": 1.8132366273798732, "eval_cosine_accuracy": 0.9606688618659973, "eval_loss": 0.4070773720741272, "eval_runtime": 35.8917, "eval_samples_per_second": 264.936, "eval_steps_per_second": 2.09, "step": 10000 }, { "epoch": 1.9945602901178603, "grad_norm": 9.001717567443848, "learning_rate": 1.3361808437764437e-05, "loss": 0.6116, "step": 11000 }, { "epoch": 1.9945602901178603, "eval_cosine_accuracy": 0.957198441028595, "eval_loss": 0.41639891266822815, "eval_runtime": 35.808, "eval_samples_per_second": 265.555, "eval_steps_per_second": 2.095, "step": 11000 }, { "epoch": 2.175883952855848, "grad_norm": 6.010563850402832, "learning_rate": 1.2555909255752106e-05, "loss": 1.198, "step": 12000 }, { "epoch": 2.175883952855848, "eval_cosine_accuracy": 0.9699232578277588, "eval_loss": 0.39755257964134216, "eval_runtime": 35.4547, "eval_samples_per_second": 268.201, "eval_steps_per_second": 2.115, "step": 12000 }, { "epoch": 2.357207615593835, "grad_norm": 5.725988864898682, "learning_rate": 1.1750010073739776e-05, "loss": 1.1285, "step": 13000 }, { "epoch": 2.357207615593835, "eval_cosine_accuracy": 0.9707645177841187, "eval_loss": 0.3975719213485718, "eval_runtime": 35.4953, "eval_samples_per_second": 267.894, "eval_steps_per_second": 2.113, "step": 13000 }, { "epoch": 2.5385312783318223, "grad_norm": 6.512053489685059, "learning_rate": 1.0944110891727447e-05, "loss": 1.0768, "step": 14000 }, { "epoch": 2.5385312783318223, "eval_cosine_accuracy": 0.9691870808601379, "eval_loss": 0.3945649266242981, "eval_runtime": 35.4322, "eval_samples_per_second": 268.371, "eval_steps_per_second": 2.117, "step": 14000 }, { "epoch": 2.7198549410698094, "grad_norm": 7.771632671356201, "learning_rate": 1.0139017608897127e-05, "loss": 0.7841, "step": 15000 }, { "epoch": 2.7198549410698094, "eval_cosine_accuracy": 0.9662424921989441, "eval_loss": 0.39352062344551086, "eval_runtime": 34.5683, "eval_samples_per_second": 275.079, "eval_steps_per_second": 2.17, "step": 15000 }, { "epoch": 2.901178603807797, "grad_norm": 7.543709754943848, "learning_rate": 9.33392432606681e-06, "loss": 0.5724, "step": 16000 }, { "epoch": 2.901178603807797, "eval_cosine_accuracy": 0.9603533744812012, "eval_loss": 0.4049094021320343, "eval_runtime": 34.3685, "eval_samples_per_second": 276.677, "eval_steps_per_second": 2.182, "step": 16000 }, { "epoch": 3.0825022665457844, "grad_norm": 5.97316312789917, "learning_rate": 8.528025144054479e-06, "loss": 0.7733, "step": 17000 }, { "epoch": 3.0825022665457844, "eval_cosine_accuracy": 0.9728677868843079, "eval_loss": 0.3817283511161804, "eval_runtime": 34.8105, "eval_samples_per_second": 273.165, "eval_steps_per_second": 2.155, "step": 17000 }, { "epoch": 3.2638259292837715, "grad_norm": 5.449621200561523, "learning_rate": 7.72212596204215e-06, "loss": 1.0369, "step": 18000 }, { "epoch": 3.2638259292837715, "eval_cosine_accuracy": 0.972026526927948, "eval_loss": 0.3902556300163269, "eval_runtime": 34.4343, "eval_samples_per_second": 276.149, "eval_steps_per_second": 2.178, "step": 18000 }, { "epoch": 3.445149592021759, "grad_norm": 5.762167453765869, "learning_rate": 6.917032679211832e-06, "loss": 0.9987, "step": 19000 }, { "epoch": 3.445149592021759, "eval_cosine_accuracy": 0.9711852073669434, "eval_loss": 0.3902416229248047, "eval_runtime": 35.4282, "eval_samples_per_second": 268.402, "eval_steps_per_second": 2.117, "step": 19000 }, { "epoch": 3.626473254759746, "grad_norm": 6.900588035583496, "learning_rate": 6.111939396381513e-06, "loss": 0.8794, "step": 20000 }, { "epoch": 3.626473254759746, "eval_cosine_accuracy": 0.9678199887275696, "eval_loss": 0.3954884111881256, "eval_runtime": 34.4854, "eval_samples_per_second": 275.74, "eval_steps_per_second": 2.175, "step": 20000 }, { "epoch": 3.8077969174977335, "grad_norm": 6.111900329589844, "learning_rate": 5.306040214369183e-06, "loss": 0.6143, "step": 21000 }, { "epoch": 3.8077969174977335, "eval_cosine_accuracy": 0.9629824161529541, "eval_loss": 0.402525395154953, "eval_runtime": 34.7966, "eval_samples_per_second": 273.274, "eval_steps_per_second": 2.155, "step": 21000 }, { "epoch": 3.9891205802357206, "grad_norm": 10.16366958618164, "learning_rate": 4.5001410323568525e-06, "loss": 0.4693, "step": 22000 }, { "epoch": 3.9891205802357206, "eval_cosine_accuracy": 0.9591965675354004, "eval_loss": 0.4097231924533844, "eval_runtime": 35.1566, "eval_samples_per_second": 270.475, "eval_steps_per_second": 2.133, "step": 22000 }, { "epoch": 4.1704442429737085, "grad_norm": 4.926142692565918, "learning_rate": 3.6942418503445223e-06, "loss": 0.9652, "step": 23000 }, { "epoch": 4.1704442429737085, "eval_cosine_accuracy": 0.9726575016975403, "eval_loss": 0.3832210302352905, "eval_runtime": 35.1658, "eval_samples_per_second": 270.405, "eval_steps_per_second": 2.133, "step": 23000 }, { "epoch": 4.351767905711696, "grad_norm": 5.455176830291748, "learning_rate": 2.888342668332192e-06, "loss": 0.9589, "step": 24000 }, { "epoch": 4.351767905711696, "eval_cosine_accuracy": 0.9723420143127441, "eval_loss": 0.3873103857040405, "eval_runtime": 34.7573, "eval_samples_per_second": 273.583, "eval_steps_per_second": 2.158, "step": 24000 }, { "epoch": 4.533091568449683, "grad_norm": 5.422769546508789, "learning_rate": 2.0824434863198614e-06, "loss": 0.9471, "step": 25000 }, { "epoch": 4.533091568449683, "eval_cosine_accuracy": 0.972026526927948, "eval_loss": 0.3860517144203186, "eval_runtime": 34.3177, "eval_samples_per_second": 277.087, "eval_steps_per_second": 2.185, "step": 25000 }, { "epoch": 4.71441523118767, "grad_norm": 7.450672149658203, "learning_rate": 1.2773502034895435e-06, "loss": 0.7042, "step": 26000 }, { "epoch": 4.71441523118767, "eval_cosine_accuracy": 0.9675044417381287, "eval_loss": 0.3901277184486389, "eval_runtime": 34.2965, "eval_samples_per_second": 277.259, "eval_steps_per_second": 2.187, "step": 26000 }, { "epoch": 4.895738893925658, "grad_norm": 7.189641952514648, "learning_rate": 4.7225692065922554e-07, "loss": 0.5195, "step": 27000 }, { "epoch": 4.895738893925658, "eval_cosine_accuracy": 0.9654011726379395, "eval_loss": 0.39300456643104553, "eval_runtime": 34.2893, "eval_samples_per_second": 277.317, "eval_steps_per_second": 2.187, "step": 27000 } ], "logging_steps": 1000, "max_steps": 27575, "num_input_tokens_seen": 0, "num_train_epochs": 5, "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": 0.0, "train_batch_size": 128, "trial_name": null, "trial_params": null }