{ "best_global_step": 1200, "best_metric": 0.10889480262994766, "best_model_checkpoint": "./sft_output/checkpoint-1200", "epoch": 2.895489947473284, "eval_steps": 200, "global_step": 2000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "entropy": 0.1292651420040056, "epoch": 0.07245064299945662, "grad_norm": 0.5799852013587952, "learning_rate": 0.00019527255185721178, "loss": 0.1073553466796875, "mean_token_accuracy": 0.9656643654406071, "num_tokens": 115293.0, "step": 50 }, { "entropy": 0.14149306831415742, "epoch": 0.14490128599891325, "grad_norm": 0.4752981960773468, "learning_rate": 0.00019044862518089725, "loss": 0.12214879989624024, "mean_token_accuracy": 0.9628654922544956, "num_tokens": 228079.0, "step": 100 }, { "entropy": 0.1316419944167137, "epoch": 0.21735192899836986, "grad_norm": 0.3439595699310303, "learning_rate": 0.00018562469850458274, "loss": 0.11439435958862304, "mean_token_accuracy": 0.9642146781086922, "num_tokens": 346451.0, "step": 150 }, { "entropy": 0.12753444796428084, "epoch": 0.2898025719978265, "grad_norm": 0.3129945695400238, "learning_rate": 0.0001808007718282682, "loss": 0.1101201343536377, "mean_token_accuracy": 0.9657260800898075, "num_tokens": 463838.0, "step": 200 }, { "epoch": 0.2898025719978265, "eval_entropy": 0.11204168354642802, "eval_loss": 0.1371564269065857, "eval_mean_token_accuracy": 0.9661400092059168, "eval_num_tokens": 463838.0, "eval_runtime": 135.07, "eval_samples_per_second": 5.108, "eval_steps_per_second": 0.644, "step": 200 }, { "entropy": 0.12514342403504997, "epoch": 0.3622532149972831, "grad_norm": 0.3354629874229431, "learning_rate": 0.0001759768451519537, "loss": 0.1064763069152832, "mean_token_accuracy": 0.9663380682468414, "num_tokens": 580179.0, "step": 250 }, { "entropy": 0.11715295719448476, "epoch": 0.4347038579967397, "grad_norm": 0.27767807245254517, "learning_rate": 0.00017115291847563918, "loss": 0.10067870140075684, "mean_token_accuracy": 0.9680409373342991, "num_tokens": 695580.0, "step": 300 }, { "entropy": 0.1172275464516133, "epoch": 0.5071545009961963, "grad_norm": 0.22333095967769623, "learning_rate": 0.00016632899179932467, "loss": 0.09892839431762696, "mean_token_accuracy": 0.968158980756998, "num_tokens": 813169.0, "step": 350 }, { "entropy": 0.13554750085109846, "epoch": 0.579605143995653, "grad_norm": 0.2716864049434662, "learning_rate": 0.00016150506512301014, "loss": 0.12139375686645508, "mean_token_accuracy": 0.9637367476522922, "num_tokens": 933136.0, "step": 400 }, { "epoch": 0.579605143995653, "eval_entropy": 0.12780291261686677, "eval_loss": 0.12689483165740967, "eval_mean_token_accuracy": 0.9676476744399674, "eval_num_tokens": 933136.0, "eval_runtime": 135.0083, "eval_samples_per_second": 5.111, "eval_steps_per_second": 0.644, "step": 400 }, { "entropy": 0.14845358284655957, "epoch": 0.6520557869951096, "grad_norm": 0.2887682616710663, "learning_rate": 0.0001566811384466956, "loss": 0.12956516265869142, "mean_token_accuracy": 0.961767661422491, "num_tokens": 1046558.0, "step": 450 }, { "entropy": 0.1415072442078963, "epoch": 0.7245064299945662, "grad_norm": 0.26643216609954834, "learning_rate": 0.0001518572117703811, "loss": 0.12267910957336425, "mean_token_accuracy": 0.9633507201075554, "num_tokens": 1163902.0, "step": 500 }, { "entropy": 0.1404953494342044, "epoch": 0.7969570729940229, "grad_norm": 0.2829984128475189, "learning_rate": 0.00014703328509406657, "loss": 0.12197186470031739, "mean_token_accuracy": 0.9628035886585713, "num_tokens": 1276260.0, "step": 550 }, { "entropy": 0.13520956406835466, "epoch": 0.8694077159934794, "grad_norm": 0.2343612164258957, "learning_rate": 0.00014220935841775204, "loss": 0.11497893333435058, "mean_token_accuracy": 0.964199658036232, "num_tokens": 1388505.0, "step": 600 }, { "epoch": 0.8694077159934794, "eval_entropy": 0.11246106024274881, "eval_loss": 0.11639242619276047, "eval_mean_token_accuracy": 0.9700561001383025, "eval_num_tokens": 1388505.0, "eval_runtime": 134.8927, "eval_samples_per_second": 5.115, "eval_steps_per_second": 0.645, "step": 600 }, { "entropy": 0.1313706226553768, "epoch": 0.941858358992936, "grad_norm": 0.2563211917877197, "learning_rate": 0.00013738543174143754, "loss": 0.1108535385131836, "mean_token_accuracy": 0.965393750667572, "num_tokens": 1506542.0, "step": 650 }, { "entropy": 0.12733429687870215, "epoch": 1.0130411157399022, "grad_norm": 0.20515012741088867, "learning_rate": 0.000132561505065123, "loss": 0.10263432502746582, "mean_token_accuracy": 0.9680144694318602, "num_tokens": 1625554.0, "step": 700 }, { "entropy": 0.09378954898566008, "epoch": 1.0854917587393589, "grad_norm": 0.1810425966978073, "learning_rate": 0.0001277375783888085, "loss": 0.07341335773468018, "mean_token_accuracy": 0.9737974387407303, "num_tokens": 1742352.0, "step": 750 }, { "entropy": 0.08947869850322604, "epoch": 1.1579424017388154, "grad_norm": 0.2107703685760498, "learning_rate": 0.00012291365171249397, "loss": 0.07443580627441407, "mean_token_accuracy": 0.974107117652893, "num_tokens": 1859066.0, "step": 800 }, { "epoch": 1.1579424017388154, "eval_entropy": 0.08398804492477713, "eval_loss": 0.11319845169782639, "eval_mean_token_accuracy": 0.9715756554713194, "eval_num_tokens": 1859066.0, "eval_runtime": 134.9594, "eval_samples_per_second": 5.113, "eval_steps_per_second": 0.645, "step": 800 }, { "entropy": 0.09298701203661039, "epoch": 1.230393044738272, "grad_norm": 0.2118096500635147, "learning_rate": 0.00011808972503617945, "loss": 0.07880696296691894, "mean_token_accuracy": 0.9729460710287094, "num_tokens": 1974287.0, "step": 850 }, { "entropy": 0.09084601077716797, "epoch": 1.3028436877377287, "grad_norm": 0.14472977817058563, "learning_rate": 0.00011326579835986493, "loss": 0.07501977443695068, "mean_token_accuracy": 0.973245297074318, "num_tokens": 2089089.0, "step": 900 }, { "entropy": 0.09346557535696774, "epoch": 1.3752943307371852, "grad_norm": 0.5793337225914001, "learning_rate": 0.00010844187168355043, "loss": 0.07840880870819092, "mean_token_accuracy": 0.9730692146718503, "num_tokens": 2203786.0, "step": 950 }, { "entropy": 0.09212197210872546, "epoch": 1.447744973736642, "grad_norm": 0.22646810114383698, "learning_rate": 0.0001036179450072359, "loss": 0.07762556552886962, "mean_token_accuracy": 0.9733995048701763, "num_tokens": 2318554.0, "step": 1000 }, { "epoch": 1.447744973736642, "eval_entropy": 0.08479796379975889, "eval_loss": 0.11282521486282349, "eval_mean_token_accuracy": 0.9713243239227383, "eval_num_tokens": 2318554.0, "eval_runtime": 135.0253, "eval_samples_per_second": 5.11, "eval_steps_per_second": 0.644, "step": 1000 }, { "entropy": 0.09136153725441545, "epoch": 1.5201956167360984, "grad_norm": 0.24745002388954163, "learning_rate": 9.879401833092138e-05, "loss": 0.0756511640548706, "mean_token_accuracy": 0.9727346667647362, "num_tokens": 2434178.0, "step": 1050 }, { "entropy": 0.08874542655656115, "epoch": 1.592646259735555, "grad_norm": 0.16458512842655182, "learning_rate": 9.397009165460685e-05, "loss": 0.0733512830734253, "mean_token_accuracy": 0.9746969762444496, "num_tokens": 2551600.0, "step": 1100 }, { "entropy": 0.08679104059003294, "epoch": 1.6650969027350118, "grad_norm": 0.2363063395023346, "learning_rate": 8.914616497829233e-05, "loss": 0.07282801628112794, "mean_token_accuracy": 0.9748657821118831, "num_tokens": 2670568.0, "step": 1150 }, { "entropy": 0.08530640854965896, "epoch": 1.7375475457344685, "grad_norm": 0.3205758035182953, "learning_rate": 8.432223830197782e-05, "loss": 0.07208527088165283, "mean_token_accuracy": 0.9753711603581905, "num_tokens": 2790395.0, "step": 1200 }, { "epoch": 1.7375475457344685, "eval_entropy": 0.08271760874609838, "eval_loss": 0.10889480262994766, "eval_mean_token_accuracy": 0.9722844334854477, "eval_num_tokens": 2790395.0, "eval_runtime": 135.0173, "eval_samples_per_second": 5.11, "eval_steps_per_second": 0.644, "step": 1200 }, { "entropy": 0.08853163382969796, "epoch": 1.8099981887339252, "grad_norm": 0.2860631048679352, "learning_rate": 7.949831162566329e-05, "loss": 0.07203876972198486, "mean_token_accuracy": 0.9745123912394047, "num_tokens": 2906250.0, "step": 1250 }, { "entropy": 0.09159044577972963, "epoch": 1.8824488317333816, "grad_norm": 0.22217783331871033, "learning_rate": 7.467438494934877e-05, "loss": 0.0765086030960083, "mean_token_accuracy": 0.9737336048483849, "num_tokens": 3020888.0, "step": 1300 }, { "entropy": 0.08859600902302191, "epoch": 1.954899474732838, "grad_norm": 0.35960590839385986, "learning_rate": 6.985045827303426e-05, "loss": 0.07379885196685791, "mean_token_accuracy": 0.9746835605800152, "num_tokens": 3134684.0, "step": 1350 }, { "entropy": 0.08423688769122496, "epoch": 2.0260822314798044, "grad_norm": 0.1249847561120987, "learning_rate": 6.502653159671973e-05, "loss": 0.06818146228790284, "mean_token_accuracy": 0.9766376161089987, "num_tokens": 3245618.0, "step": 1400 }, { "epoch": 2.0260822314798044, "eval_entropy": 0.07047315447152346, "eval_loss": 0.11015637964010239, "eval_mean_token_accuracy": 0.9731149563844177, "eval_num_tokens": 3245618.0, "eval_runtime": 134.9477, "eval_samples_per_second": 5.113, "eval_steps_per_second": 0.645, "step": 1400 }, { "entropy": 0.06371946840547026, "epoch": 2.098532874479261, "grad_norm": 0.16305267810821533, "learning_rate": 6.0202604920405214e-05, "loss": 0.05102997303009033, "mean_token_accuracy": 0.9815227979421616, "num_tokens": 3362965.0, "step": 1450 }, { "entropy": 0.0659942712332122, "epoch": 2.1709835174787178, "grad_norm": 0.1745850145816803, "learning_rate": 5.537867824409069e-05, "loss": 0.05241162776947021, "mean_token_accuracy": 0.9807419489324093, "num_tokens": 3475907.0, "step": 1500 }, { "entropy": 0.06338218597928062, "epoch": 2.2434341604781745, "grad_norm": 0.19584746658802032, "learning_rate": 5.055475156777617e-05, "loss": 0.051362857818603516, "mean_token_accuracy": 0.9814340886473656, "num_tokens": 3593538.0, "step": 1550 }, { "entropy": 0.06354268383933231, "epoch": 2.3158848034776307, "grad_norm": 0.19582241773605347, "learning_rate": 4.573082489146165e-05, "loss": 0.052291646003723144, "mean_token_accuracy": 0.981376932412386, "num_tokens": 3707445.0, "step": 1600 }, { "epoch": 2.3158848034776307, "eval_entropy": 0.06323016272194085, "eval_loss": 0.11573585867881775, "eval_mean_token_accuracy": 0.973355067872453, "eval_num_tokens": 3707445.0, "eval_runtime": 135.1558, "eval_samples_per_second": 5.105, "eval_steps_per_second": 0.644, "step": 1600 }, { "entropy": 0.06490354960318655, "epoch": 2.3883354464770874, "grad_norm": 0.17022456228733063, "learning_rate": 4.0906898215147135e-05, "loss": 0.054670772552490234, "mean_token_accuracy": 0.980761057138443, "num_tokens": 3820475.0, "step": 1650 }, { "entropy": 0.06598329161293805, "epoch": 2.460786089476544, "grad_norm": 0.20498181879520416, "learning_rate": 3.608297153883261e-05, "loss": 0.05304833889007568, "mean_token_accuracy": 0.9809189030528068, "num_tokens": 3933729.0, "step": 1700 }, { "entropy": 0.06734917678404599, "epoch": 2.533236732476001, "grad_norm": 0.1891096830368042, "learning_rate": 3.1259044862518086e-05, "loss": 0.0533873462677002, "mean_token_accuracy": 0.980241654664278, "num_tokens": 4047398.0, "step": 1750 }, { "entropy": 0.05935755535727367, "epoch": 2.6056873754754575, "grad_norm": 0.17223551869392395, "learning_rate": 2.643511818620357e-05, "loss": 0.04701524257659912, "mean_token_accuracy": 0.9830030533671379, "num_tokens": 4168983.0, "step": 1800 }, { "epoch": 2.6056873754754575, "eval_entropy": 0.06277676872994709, "eval_loss": 0.11459118127822876, "eval_mean_token_accuracy": 0.9735316360133818, "eval_num_tokens": 4168983.0, "eval_runtime": 135.0545, "eval_samples_per_second": 5.109, "eval_steps_per_second": 0.644, "step": 1800 }, { "entropy": 0.06294791254680604, "epoch": 2.6781380184749137, "grad_norm": 0.21268633008003235, "learning_rate": 2.161119150988905e-05, "loss": 0.05056027889251709, "mean_token_accuracy": 0.9813353289663792, "num_tokens": 4286132.0, "step": 1850 }, { "entropy": 0.06273156431736425, "epoch": 2.7505886614743704, "grad_norm": 0.166688933968544, "learning_rate": 1.678726483357453e-05, "loss": 0.05039352893829346, "mean_token_accuracy": 0.9812411935627461, "num_tokens": 4403199.0, "step": 1900 }, { "entropy": 0.06210695546586067, "epoch": 2.823039304473827, "grad_norm": 0.20107661187648773, "learning_rate": 1.1963338157260012e-05, "loss": 0.050140600204467776, "mean_token_accuracy": 0.9815662078559398, "num_tokens": 4519243.0, "step": 1950 }, { "entropy": 0.06227384155383334, "epoch": 2.895489947473284, "grad_norm": 0.1902814358472824, "learning_rate": 7.13941148094549e-06, "loss": 0.048079490661621094, "mean_token_accuracy": 0.9821359276771545, "num_tokens": 4636178.0, "step": 2000 }, { "epoch": 2.895489947473284, "eval_entropy": 0.06232287272297103, "eval_loss": 0.11387787759304047, "eval_mean_token_accuracy": 0.9737936319976017, "eval_num_tokens": 4636178.0, "eval_runtime": 135.2272, "eval_samples_per_second": 5.103, "eval_steps_per_second": 0.643, "step": 2000 } ], "logging_steps": 50, "max_steps": 2073, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 200, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 8752228753593600.0, "train_batch_size": 1, "trial_name": null, "trial_params": null }