Qwen2.5-1.5B-Open-R1-Distill / trainer_state.json
jeffff's picture
Model save
e6170b6 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9974102848686645,
"eval_steps": 100,
"global_step": 337,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.014798372179060304,
"grad_norm": 2.5319928724744716,
"learning_rate": 2.9411764705882355e-06,
"loss": 1.0934,
"mean_token_accuracy": 0.710963543585844,
"step": 5
},
{
"epoch": 0.029596744358120607,
"grad_norm": 1.4244723552718639,
"learning_rate": 5.882352941176471e-06,
"loss": 1.0769,
"mean_token_accuracy": 0.7137204635526403,
"step": 10
},
{
"epoch": 0.04439511653718091,
"grad_norm": 1.2482381526688695,
"learning_rate": 8.823529411764707e-06,
"loss": 0.9837,
"mean_token_accuracy": 0.729854775606871,
"step": 15
},
{
"epoch": 0.059193488716241215,
"grad_norm": 0.8840186116418455,
"learning_rate": 1.1764705882352942e-05,
"loss": 0.959,
"mean_token_accuracy": 0.7300877725865283,
"step": 20
},
{
"epoch": 0.07399186089530152,
"grad_norm": 0.7992527652377878,
"learning_rate": 1.4705882352941179e-05,
"loss": 0.8946,
"mean_token_accuracy": 0.7439422970769893,
"step": 25
},
{
"epoch": 0.08879023307436182,
"grad_norm": 0.7193278191451224,
"learning_rate": 1.7647058823529414e-05,
"loss": 0.8869,
"mean_token_accuracy": 0.7441348945078509,
"step": 30
},
{
"epoch": 0.10358860525342212,
"grad_norm": 0.620194874837715,
"learning_rate": 1.9999462497359468e-05,
"loss": 0.846,
"mean_token_accuracy": 0.753654310037237,
"step": 35
},
{
"epoch": 0.11838697743248243,
"grad_norm": 0.605036208438505,
"learning_rate": 1.9980655971335944e-05,
"loss": 0.8244,
"mean_token_accuracy": 0.7586147304733527,
"step": 40
},
{
"epoch": 0.13318534961154274,
"grad_norm": 0.5325835774353814,
"learning_rate": 1.993503206718859e-05,
"loss": 0.8234,
"mean_token_accuracy": 0.7580317217224875,
"step": 45
},
{
"epoch": 0.14798372179060304,
"grad_norm": 0.5922728516285096,
"learning_rate": 1.986271337340182e-05,
"loss": 0.8061,
"mean_token_accuracy": 0.7622985291883017,
"step": 50
},
{
"epoch": 0.16278209396966334,
"grad_norm": 0.5378220329694758,
"learning_rate": 1.976389420563607e-05,
"loss": 0.8147,
"mean_token_accuracy": 0.759805779032566,
"step": 55
},
{
"epoch": 0.17758046614872364,
"grad_norm": 0.5259675117637312,
"learning_rate": 1.9638840084614182e-05,
"loss": 0.8023,
"mean_token_accuracy": 0.7627232625492987,
"step": 60
},
{
"epoch": 0.19237883832778394,
"grad_norm": 0.5762209896140157,
"learning_rate": 1.9487887022684336e-05,
"loss": 0.792,
"mean_token_accuracy": 0.7641335052616005,
"step": 65
},
{
"epoch": 0.20717721050684423,
"grad_norm": 0.4808227147945767,
"learning_rate": 1.9311440620976597e-05,
"loss": 0.7952,
"mean_token_accuracy": 0.7634592815770592,
"step": 70
},
{
"epoch": 0.22197558268590456,
"grad_norm": 0.5001394930884526,
"learning_rate": 1.9109974979578852e-05,
"loss": 0.7766,
"mean_token_accuracy": 0.768052524785652,
"step": 75
},
{
"epoch": 0.23677395486496486,
"grad_norm": 0.5439973784585546,
"learning_rate": 1.8884031423660492e-05,
"loss": 0.7858,
"mean_token_accuracy": 0.7659040802193098,
"step": 80
},
{
"epoch": 0.25157232704402516,
"grad_norm": 0.4626471578447052,
"learning_rate": 1.8634217048966638e-05,
"loss": 0.7898,
"mean_token_accuracy": 0.7641630963096735,
"step": 85
},
{
"epoch": 0.2663706992230855,
"grad_norm": 0.4953360320003589,
"learning_rate": 1.836120309059107e-05,
"loss": 0.7653,
"mean_token_accuracy": 0.7711456471218759,
"step": 90
},
{
"epoch": 0.28116907140214575,
"grad_norm": 0.4920623807025407,
"learning_rate": 1.8065723119410885e-05,
"loss": 0.7729,
"mean_token_accuracy": 0.7689427685113397,
"step": 95
},
{
"epoch": 0.2959674435812061,
"grad_norm": 0.5103694322535611,
"learning_rate": 1.77485710710289e-05,
"loss": 0.7769,
"mean_token_accuracy": 0.7670994908657515,
"step": 100
},
{
"epoch": 0.2959674435812061,
"eval_loss": 0.7992530465126038,
"eval_mean_token_accuracy": 0.7520903997377723,
"eval_runtime": 37.942,
"eval_samples_per_second": 3.4,
"eval_steps_per_second": 0.237,
"step": 100
},
{
"epoch": 0.31076581576026635,
"grad_norm": 0.5055132167951369,
"learning_rate": 1.741059911251997e-05,
"loss": 0.7743,
"mean_token_accuracy": 0.7680788037040351,
"step": 105
},
{
"epoch": 0.3255641879393267,
"grad_norm": 0.506430933020723,
"learning_rate": 1.7052715352713076e-05,
"loss": 0.7701,
"mean_token_accuracy": 0.768703717503791,
"step": 110
},
{
"epoch": 0.340362560118387,
"grad_norm": 0.5043957879151227,
"learning_rate": 1.667588140216154e-05,
"loss": 0.7809,
"mean_token_accuracy": 0.7663542286457965,
"step": 115
},
{
"epoch": 0.3551609322974473,
"grad_norm": 0.4950305678035583,
"learning_rate": 1.628110978935756e-05,
"loss": 0.7858,
"mean_token_accuracy": 0.7642025057223836,
"step": 120
},
{
"epoch": 0.3699593044765076,
"grad_norm": 0.48560370957454324,
"learning_rate": 1.586946124013354e-05,
"loss": 0.7721,
"mean_token_accuracy": 0.7674092863960766,
"step": 125
},
{
"epoch": 0.38475767665556787,
"grad_norm": 0.4630554031524683,
"learning_rate": 1.5442041827560274e-05,
"loss": 0.7701,
"mean_token_accuracy": 0.7682268770584184,
"step": 130
},
{
"epoch": 0.3995560488346282,
"grad_norm": 0.48760057057176687,
"learning_rate": 1.5000000000000002e-05,
"loss": 0.7784,
"mean_token_accuracy": 0.7661367681955669,
"step": 135
},
{
"epoch": 0.41435442101368847,
"grad_norm": 0.5733716326658232,
"learning_rate": 1.4544523495299843e-05,
"loss": 0.7479,
"mean_token_accuracy": 0.7748393560242525,
"step": 140
},
{
"epoch": 0.4291527931927488,
"grad_norm": 0.4674485766276026,
"learning_rate": 1.4076836149416889e-05,
"loss": 0.7624,
"mean_token_accuracy": 0.7700554565613973,
"step": 145
},
{
"epoch": 0.4439511653718091,
"grad_norm": 0.45437614184568614,
"learning_rate": 1.3598194608050011e-05,
"loss": 0.7615,
"mean_token_accuracy": 0.771047339890566,
"step": 150
},
{
"epoch": 0.4587495375508694,
"grad_norm": 0.5161211912106276,
"learning_rate": 1.3109884950114007e-05,
"loss": 0.7483,
"mean_token_accuracy": 0.7738057195374108,
"step": 155
},
{
"epoch": 0.4735479097299297,
"grad_norm": 0.48299986888606256,
"learning_rate": 1.2613219232128608e-05,
"loss": 0.7785,
"mean_token_accuracy": 0.7653209447855766,
"step": 160
},
{
"epoch": 0.48834628190899,
"grad_norm": 0.4972165634793764,
"learning_rate": 1.2109531962807333e-05,
"loss": 0.7584,
"mean_token_accuracy": 0.7717189958506077,
"step": 165
},
{
"epoch": 0.5031446540880503,
"grad_norm": 0.5038295262718444,
"learning_rate": 1.1600176517318742e-05,
"loss": 0.7697,
"mean_token_accuracy": 0.7677580608314103,
"step": 170
},
{
"epoch": 0.5179430262671106,
"grad_norm": 0.506972102629947,
"learning_rate": 1.1086521500854746e-05,
"loss": 0.7644,
"mean_token_accuracy": 0.7690021577852479,
"step": 175
},
{
"epoch": 0.532741398446171,
"grad_norm": 0.4607643963694159,
"learning_rate": 1.0569947071276847e-05,
"loss": 0.7508,
"mean_token_accuracy": 0.7737279353788342,
"step": 180
},
{
"epoch": 0.5475397706252312,
"grad_norm": 0.4690988373460707,
"learning_rate": 1.0051841230721065e-05,
"loss": 0.7571,
"mean_token_accuracy": 0.7718751333144616,
"step": 185
},
{
"epoch": 0.5623381428042915,
"grad_norm": 0.5230684589508905,
"learning_rate": 9.533596096125826e-06,
"loss": 0.7473,
"mean_token_accuracy": 0.7735613336731262,
"step": 190
},
{
"epoch": 0.5771365149833518,
"grad_norm": 0.4965020439000996,
"learning_rate": 9.016604158703654e-06,
"loss": 0.7366,
"mean_token_accuracy": 0.7761915520691296,
"step": 195
},
{
"epoch": 0.5919348871624122,
"grad_norm": 0.47470212551853064,
"learning_rate": 8.502254542407186e-06,
"loss": 0.7509,
"mean_token_accuracy": 0.7725352138788509,
"step": 200
},
{
"epoch": 0.5919348871624122,
"eval_loss": 0.7736743092536926,
"eval_mean_token_accuracy": 0.7563969146133266,
"eval_runtime": 36.8476,
"eval_samples_per_second": 3.501,
"eval_steps_per_second": 0.244,
"step": 200
},
{
"epoch": 0.6067332593414725,
"grad_norm": 0.460020351716667,
"learning_rate": 7.991929271442817e-06,
"loss": 0.7406,
"mean_token_accuracy": 0.7756438027345837,
"step": 205
},
{
"epoch": 0.6215316315205327,
"grad_norm": 0.4298188029300264,
"learning_rate": 7.48699955686089e-06,
"loss": 0.7481,
"mean_token_accuracy": 0.7735235687761747,
"step": 210
},
{
"epoch": 0.636330003699593,
"grad_norm": 0.4966460976529198,
"learning_rate": 6.988822112200157e-06,
"loss": 0.775,
"mean_token_accuracy": 0.7659616415859062,
"step": 215
},
{
"epoch": 0.6511283758786534,
"grad_norm": 0.41853465241085613,
"learning_rate": 6.498735508086094e-06,
"loss": 0.7498,
"mean_token_accuracy": 0.7732758807008967,
"step": 220
},
{
"epoch": 0.6659267480577137,
"grad_norm": 0.4702312396884364,
"learning_rate": 6.018056575578075e-06,
"loss": 0.7592,
"mean_token_accuracy": 0.7700622405709057,
"step": 225
},
{
"epoch": 0.680725120236774,
"grad_norm": 0.42975452969024625,
"learning_rate": 5.548076867929331e-06,
"loss": 0.7378,
"mean_token_accuracy": 0.7767314400830869,
"step": 230
},
{
"epoch": 0.6955234924158342,
"grad_norm": 0.4108583246355971,
"learning_rate": 5.090059190266779e-06,
"loss": 0.7406,
"mean_token_accuracy": 0.7765217843280351,
"step": 235
},
{
"epoch": 0.7103218645948945,
"grad_norm": 0.45304370273166905,
"learning_rate": 4.645234206515171e-06,
"loss": 0.7316,
"mean_token_accuracy": 0.7780036833059428,
"step": 240
},
{
"epoch": 0.7251202367739549,
"grad_norm": 0.4232322187564541,
"learning_rate": 4.214797132682597e-06,
"loss": 0.744,
"mean_token_accuracy": 0.7749563602812362,
"step": 245
},
{
"epoch": 0.7399186089530152,
"grad_norm": 0.46727693453523017,
"learning_rate": 3.799904525392251e-06,
"loss": 0.7444,
"mean_token_accuracy": 0.7747609637386101,
"step": 250
},
{
"epoch": 0.7547169811320755,
"grad_norm": 0.4558283663119779,
"learning_rate": 3.401671174289469e-06,
"loss": 0.7487,
"mean_token_accuracy": 0.7735000671597567,
"step": 255
},
{
"epoch": 0.7695153533111357,
"grad_norm": 0.4473149950802802,
"learning_rate": 3.021167106673928e-06,
"loss": 0.7445,
"mean_token_accuracy": 0.7743566228811749,
"step": 260
},
{
"epoch": 0.7843137254901961,
"grad_norm": 0.4461233002812556,
"learning_rate": 2.6594147124053983e-06,
"loss": 0.7611,
"mean_token_accuracy": 0.7693132343191504,
"step": 265
},
{
"epoch": 0.7991120976692564,
"grad_norm": 0.4288144300029119,
"learning_rate": 2.317385996808195e-06,
"loss": 0.7445,
"mean_token_accuracy": 0.7748136727030183,
"step": 270
},
{
"epoch": 0.8139104698483167,
"grad_norm": 0.42462095484083673,
"learning_rate": 1.9959999689556407e-06,
"loss": 0.7434,
"mean_token_accuracy": 0.7749245362781049,
"step": 275
},
{
"epoch": 0.8287088420273769,
"grad_norm": 0.4063322872281588,
"learning_rate": 1.6961201723520248e-06,
"loss": 0.7449,
"mean_token_accuracy": 0.7749680039942058,
"step": 280
},
{
"epoch": 0.8435072142064373,
"grad_norm": 0.397264999375389,
"learning_rate": 1.4185523646469822e-06,
"loss": 0.7453,
"mean_token_accuracy": 0.7743507033929469,
"step": 285
},
{
"epoch": 0.8583055863854976,
"grad_norm": 0.4451350635097519,
"learning_rate": 1.1640423526166987e-06,
"loss": 0.742,
"mean_token_accuracy": 0.7751791694228443,
"step": 290
},
{
"epoch": 0.8731039585645579,
"grad_norm": 0.43301511965025696,
"learning_rate": 9.332739882292752e-07,
"loss": 0.7389,
"mean_token_accuracy": 0.7757602051567191,
"step": 295
},
{
"epoch": 0.8879023307436182,
"grad_norm": 0.4096833414120662,
"learning_rate": 7.268673311786378e-07,
"loss": 0.731,
"mean_token_accuracy": 0.7785745911127538,
"step": 300
},
{
"epoch": 0.8879023307436182,
"eval_loss": 0.7652355432510376,
"eval_mean_token_accuracy": 0.7601538929893327,
"eval_runtime": 37.6456,
"eval_samples_per_second": 3.427,
"eval_steps_per_second": 0.239,
"step": 300
},
{
"epoch": 0.9027007029226785,
"grad_norm": 0.40132760343408064,
"learning_rate": 5.453769828241872e-07,
"loss": 0.7391,
"mean_token_accuracy": 0.7762386779688674,
"step": 305
},
{
"epoch": 0.9174990751017388,
"grad_norm": 0.3932064251891102,
"learning_rate": 3.8929059601275463e-07,
"loss": 0.712,
"mean_token_accuracy": 0.7837027776073648,
"step": 310
},
{
"epoch": 0.9322974472807991,
"grad_norm": 0.404346485308974,
"learning_rate": 2.5902756478688674e-07,
"loss": 0.74,
"mean_token_accuracy": 0.7763130349280738,
"step": 315
},
{
"epoch": 0.9470958194598594,
"grad_norm": 0.4014282081908607,
"learning_rate": 1.5493789750014032e-07,
"loss": 0.7373,
"mean_token_accuracy": 0.7765861246677741,
"step": 320
},
{
"epoch": 0.9618941916389198,
"grad_norm": 0.411881298783951,
"learning_rate": 7.730127636723539e-08,
"loss": 0.7236,
"mean_token_accuracy": 0.7803048063818399,
"step": 325
},
{
"epoch": 0.97669256381798,
"grad_norm": 0.38863002242821104,
"learning_rate": 2.6326305976001054e-08,
"loss": 0.7384,
"mean_token_accuracy": 0.7764187201948197,
"step": 330
},
{
"epoch": 0.9914909359970403,
"grad_norm": 0.4208440998084639,
"learning_rate": 2.149952780321485e-09,
"loss": 0.7368,
"mean_token_accuracy": 0.7763385910458351,
"step": 335
},
{
"epoch": 0.9974102848686645,
"mean_token_accuracy": 0.7691396070282631,
"step": 337,
"total_flos": 76774385909760.0,
"train_loss": 0.7816258675974271,
"train_runtime": 9729.0212,
"train_samples_per_second": 2.223,
"train_steps_per_second": 0.035
}
],
"logging_steps": 5,
"max_steps": 337,
"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": false,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 76774385909760.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}