nbh7tx6y / checkpoint-2000 /trainer_state.json
roonbug's picture
Upload folder using huggingface_hub
94eeea3 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.6,
"eval_steps": 100,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"entropy": 1.2628081854432822,
"epoch": 0.008,
"grad_norm": 0.0179443359375,
"learning_rate": 1.8e-07,
"loss": 2.1855,
"mean_token_accuracy": 0.584391780383885,
"num_tokens": 138146.0,
"step": 10
},
{
"entropy": 1.2761256650090218,
"epoch": 0.016,
"grad_norm": 0.0177001953125,
"learning_rate": 3.8e-07,
"loss": 2.2119,
"mean_token_accuracy": 0.5769438467919826,
"num_tokens": 280941.0,
"step": 20
},
{
"entropy": 1.30821207202971,
"epoch": 0.024,
"grad_norm": 0.0079345703125,
"learning_rate": 5.800000000000001e-07,
"loss": 2.2252,
"mean_token_accuracy": 0.5782777238637209,
"num_tokens": 419127.0,
"step": 30
},
{
"entropy": 1.2832397993654012,
"epoch": 0.032,
"grad_norm": 0.00787353515625,
"learning_rate": 7.8e-07,
"loss": 2.1845,
"mean_token_accuracy": 0.5787389608100056,
"num_tokens": 558056.0,
"step": 40
},
{
"entropy": 1.281408105790615,
"epoch": 0.04,
"grad_norm": 0.0125732421875,
"learning_rate": 9.800000000000001e-07,
"loss": 2.2214,
"mean_token_accuracy": 0.5814869659021497,
"num_tokens": 697556.0,
"step": 50
},
{
"entropy": 1.2824515115469695,
"epoch": 0.048,
"grad_norm": 0.0206298828125,
"learning_rate": 1.1800000000000001e-06,
"loss": 2.1897,
"mean_token_accuracy": 0.5798849314451218,
"num_tokens": 836753.0,
"step": 60
},
{
"entropy": 1.2973103038966656,
"epoch": 0.056,
"grad_norm": 0.0216064453125,
"learning_rate": 1.3800000000000001e-06,
"loss": 2.2424,
"mean_token_accuracy": 0.5715558419004083,
"num_tokens": 981959.0,
"step": 70
},
{
"entropy": 1.2914881024509668,
"epoch": 0.064,
"grad_norm": 0.00927734375,
"learning_rate": 1.5800000000000001e-06,
"loss": 2.2528,
"mean_token_accuracy": 0.5714382914826274,
"num_tokens": 1126446.0,
"step": 80
},
{
"entropy": 1.2911656297743321,
"epoch": 0.072,
"grad_norm": 0.0145263671875,
"learning_rate": 1.7800000000000001e-06,
"loss": 2.2655,
"mean_token_accuracy": 0.5728934396989643,
"num_tokens": 1273905.0,
"step": 90
},
{
"entropy": 1.3042505994439124,
"epoch": 0.08,
"grad_norm": 0.00927734375,
"learning_rate": 1.98e-06,
"loss": 2.2384,
"mean_token_accuracy": 0.574522521905601,
"num_tokens": 1413596.0,
"step": 100
},
{
"epoch": 0.08,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 1413596.0,
"eval_coding_runtime": 96.113,
"eval_coding_samples_per_second": 5.202,
"eval_coding_steps_per_second": 2.601,
"step": 100
},
{
"epoch": 0.08,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 1413596.0,
"eval_math_runtime": 55.2867,
"eval_math_samples_per_second": 9.044,
"eval_math_steps_per_second": 4.522,
"step": 100
},
{
"entropy": 1.2642712604254485,
"epoch": 0.088,
"grad_norm": 0.0072021484375,
"learning_rate": 2.1800000000000003e-06,
"loss": 2.1897,
"mean_token_accuracy": 0.5820998327806592,
"num_tokens": 1559450.0,
"step": 110
},
{
"entropy": 1.3127624299377203,
"epoch": 0.096,
"grad_norm": 0.0101318359375,
"learning_rate": 2.38e-06,
"loss": 2.2696,
"mean_token_accuracy": 0.5712630080059171,
"num_tokens": 1701193.0,
"step": 120
},
{
"entropy": 1.2562327686697246,
"epoch": 0.104,
"grad_norm": 0.0089111328125,
"learning_rate": 2.5800000000000003e-06,
"loss": 2.1593,
"mean_token_accuracy": 0.5853730095550418,
"num_tokens": 1840165.0,
"step": 130
},
{
"entropy": 1.3122376587241888,
"epoch": 0.112,
"grad_norm": 0.00982666015625,
"learning_rate": 2.7800000000000005e-06,
"loss": 2.272,
"mean_token_accuracy": 0.5697157179936767,
"num_tokens": 1979232.0,
"step": 140
},
{
"entropy": 1.296381675079465,
"epoch": 0.12,
"grad_norm": 0.0084228515625,
"learning_rate": 2.9800000000000003e-06,
"loss": 2.2493,
"mean_token_accuracy": 0.5788527738302947,
"num_tokens": 2125815.0,
"step": 150
},
{
"entropy": 1.299617338180542,
"epoch": 0.128,
"grad_norm": 0.015380859375,
"learning_rate": 3.1800000000000005e-06,
"loss": 2.2113,
"mean_token_accuracy": 0.5759535003453493,
"num_tokens": 2274177.0,
"step": 160
},
{
"entropy": 1.2860674735158681,
"epoch": 0.136,
"grad_norm": 0.00946044921875,
"learning_rate": 3.3800000000000007e-06,
"loss": 2.2092,
"mean_token_accuracy": 0.574743240699172,
"num_tokens": 2412435.0,
"step": 170
},
{
"entropy": 1.299461904540658,
"epoch": 0.144,
"grad_norm": 0.0115966796875,
"learning_rate": 3.58e-06,
"loss": 2.1965,
"mean_token_accuracy": 0.5797095803543926,
"num_tokens": 2548445.0,
"step": 180
},
{
"entropy": 1.259111713245511,
"epoch": 0.152,
"grad_norm": 0.0115966796875,
"learning_rate": 3.7800000000000002e-06,
"loss": 2.1452,
"mean_token_accuracy": 0.5854375848546625,
"num_tokens": 2686462.0,
"step": 190
},
{
"entropy": 1.2716298930346965,
"epoch": 0.16,
"grad_norm": 0.014892578125,
"learning_rate": 3.980000000000001e-06,
"loss": 2.2284,
"mean_token_accuracy": 0.5798038769513368,
"num_tokens": 2824418.0,
"step": 200
},
{
"epoch": 0.16,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 2824418.0,
"eval_coding_runtime": 95.662,
"eval_coding_samples_per_second": 5.227,
"eval_coding_steps_per_second": 2.613,
"step": 200
},
{
"epoch": 0.16,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 2824418.0,
"eval_math_runtime": 55.266,
"eval_math_samples_per_second": 9.047,
"eval_math_steps_per_second": 4.524,
"step": 200
},
{
"entropy": 1.29471963532269,
"epoch": 0.168,
"grad_norm": 0.021240234375,
"learning_rate": 4.18e-06,
"loss": 2.2605,
"mean_token_accuracy": 0.5726646112278104,
"num_tokens": 2966031.0,
"step": 210
},
{
"entropy": 1.295415598154068,
"epoch": 0.176,
"grad_norm": 0.01519775390625,
"learning_rate": 4.38e-06,
"loss": 2.1967,
"mean_token_accuracy": 0.5751344438642263,
"num_tokens": 3110313.0,
"step": 220
},
{
"entropy": 1.3239446703344584,
"epoch": 0.184,
"grad_norm": 0.0089111328125,
"learning_rate": 4.58e-06,
"loss": 2.2475,
"mean_token_accuracy": 0.5708544872701168,
"num_tokens": 3251139.0,
"step": 230
},
{
"entropy": 1.3012913078069688,
"epoch": 0.192,
"grad_norm": 0.015625,
"learning_rate": 4.78e-06,
"loss": 2.2591,
"mean_token_accuracy": 0.5751949936151505,
"num_tokens": 3394170.0,
"step": 240
},
{
"entropy": 1.2939962450414897,
"epoch": 0.2,
"grad_norm": 0.0081787109375,
"learning_rate": 4.980000000000001e-06,
"loss": 2.2271,
"mean_token_accuracy": 0.5751136729493738,
"num_tokens": 3533571.0,
"step": 250
},
{
"entropy": 1.3175367139279843,
"epoch": 0.208,
"grad_norm": 0.0162353515625,
"learning_rate": 5.18e-06,
"loss": 2.2477,
"mean_token_accuracy": 0.5703525686636567,
"num_tokens": 3673600.0,
"step": 260
},
{
"entropy": 1.2911786384880544,
"epoch": 0.216,
"grad_norm": 0.00897216796875,
"learning_rate": 5.380000000000001e-06,
"loss": 2.2607,
"mean_token_accuracy": 0.5701368801295758,
"num_tokens": 3817397.0,
"step": 270
},
{
"entropy": 1.312684351950884,
"epoch": 0.224,
"grad_norm": 0.012451171875,
"learning_rate": 5.580000000000001e-06,
"loss": 2.2961,
"mean_token_accuracy": 0.5682467905804515,
"num_tokens": 3953732.0,
"step": 280
},
{
"entropy": 1.276525003835559,
"epoch": 0.232,
"grad_norm": 0.009033203125,
"learning_rate": 5.78e-06,
"loss": 2.2433,
"mean_token_accuracy": 0.5770688287913799,
"num_tokens": 4098989.0,
"step": 290
},
{
"entropy": 1.2831152826547623,
"epoch": 0.24,
"grad_norm": 0.008056640625,
"learning_rate": 5.98e-06,
"loss": 2.2829,
"mean_token_accuracy": 0.5744210470467805,
"num_tokens": 4243655.0,
"step": 300
},
{
"epoch": 0.24,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 4243655.0,
"eval_coding_runtime": 95.6217,
"eval_coding_samples_per_second": 5.229,
"eval_coding_steps_per_second": 2.614,
"step": 300
},
{
"epoch": 0.24,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 4243655.0,
"eval_math_runtime": 55.2698,
"eval_math_samples_per_second": 9.047,
"eval_math_steps_per_second": 4.523,
"step": 300
},
{
"entropy": 1.2523589238524437,
"epoch": 0.248,
"grad_norm": 0.01129150390625,
"learning_rate": 6.18e-06,
"loss": 2.1458,
"mean_token_accuracy": 0.5875966742634773,
"num_tokens": 4387651.0,
"step": 310
},
{
"entropy": 1.2836483523249627,
"epoch": 0.256,
"grad_norm": 0.01708984375,
"learning_rate": 6.380000000000001e-06,
"loss": 2.2171,
"mean_token_accuracy": 0.5771771775558591,
"num_tokens": 4531471.0,
"step": 320
},
{
"entropy": 1.2900966588407754,
"epoch": 0.264,
"grad_norm": 0.0172119140625,
"learning_rate": 6.5800000000000005e-06,
"loss": 2.2279,
"mean_token_accuracy": 0.577950318530202,
"num_tokens": 4669389.0,
"step": 330
},
{
"entropy": 1.2982714001089335,
"epoch": 0.272,
"grad_norm": 0.00897216796875,
"learning_rate": 6.780000000000001e-06,
"loss": 2.2464,
"mean_token_accuracy": 0.5756928954273463,
"num_tokens": 4810284.0,
"step": 340
},
{
"entropy": 1.278377178311348,
"epoch": 0.28,
"grad_norm": 0.00616455078125,
"learning_rate": 6.98e-06,
"loss": 2.172,
"mean_token_accuracy": 0.5843851236626506,
"num_tokens": 4955375.0,
"step": 350
},
{
"entropy": 1.2722328055649996,
"epoch": 0.288,
"grad_norm": 0.015869140625,
"learning_rate": 7.180000000000001e-06,
"loss": 2.2143,
"mean_token_accuracy": 0.5805238038301468,
"num_tokens": 5095104.0,
"step": 360
},
{
"entropy": 1.2866631541401148,
"epoch": 0.296,
"grad_norm": 0.01318359375,
"learning_rate": 7.3800000000000005e-06,
"loss": 2.2041,
"mean_token_accuracy": 0.5798180354759097,
"num_tokens": 5240988.0,
"step": 370
},
{
"entropy": 1.2868602696806193,
"epoch": 0.304,
"grad_norm": 0.0230712890625,
"learning_rate": 7.58e-06,
"loss": 2.2193,
"mean_token_accuracy": 0.578575404547155,
"num_tokens": 5383732.0,
"step": 380
},
{
"entropy": 1.3216422777622938,
"epoch": 0.312,
"grad_norm": 0.0115966796875,
"learning_rate": 7.78e-06,
"loss": 2.2847,
"mean_token_accuracy": 0.5677898772060871,
"num_tokens": 5530666.0,
"step": 390
},
{
"entropy": 1.2590181913226843,
"epoch": 0.32,
"grad_norm": 0.01171875,
"learning_rate": 7.980000000000002e-06,
"loss": 2.1719,
"mean_token_accuracy": 0.5848465450108051,
"num_tokens": 5676334.0,
"step": 400
},
{
"epoch": 0.32,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 5676334.0,
"eval_coding_runtime": 95.6468,
"eval_coding_samples_per_second": 5.228,
"eval_coding_steps_per_second": 2.614,
"step": 400
},
{
"epoch": 0.32,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 5676334.0,
"eval_math_runtime": 55.2877,
"eval_math_samples_per_second": 9.044,
"eval_math_steps_per_second": 4.522,
"step": 400
},
{
"entropy": 1.3136477686464787,
"epoch": 0.328,
"grad_norm": 0.009521484375,
"learning_rate": 8.18e-06,
"loss": 2.2817,
"mean_token_accuracy": 0.5644237477332353,
"num_tokens": 5816488.0,
"step": 410
},
{
"entropy": 1.296512581780553,
"epoch": 0.336,
"grad_norm": 0.008544921875,
"learning_rate": 8.380000000000001e-06,
"loss": 2.2127,
"mean_token_accuracy": 0.5752231312915683,
"num_tokens": 5958480.0,
"step": 420
},
{
"entropy": 1.2964510951191186,
"epoch": 0.344,
"grad_norm": 0.00885009765625,
"learning_rate": 8.580000000000001e-06,
"loss": 2.2215,
"mean_token_accuracy": 0.5778196537867188,
"num_tokens": 6102081.0,
"step": 430
},
{
"entropy": 1.2612504959106445,
"epoch": 0.352,
"grad_norm": 0.0084228515625,
"learning_rate": 8.78e-06,
"loss": 2.1833,
"mean_token_accuracy": 0.5839220907539129,
"num_tokens": 6242161.0,
"step": 440
},
{
"entropy": 1.2856441132724286,
"epoch": 0.36,
"grad_norm": 0.0177001953125,
"learning_rate": 8.98e-06,
"loss": 2.2414,
"mean_token_accuracy": 0.5754987616091967,
"num_tokens": 6377327.0,
"step": 450
},
{
"entropy": 1.288279192149639,
"epoch": 0.368,
"grad_norm": 0.0111083984375,
"learning_rate": 9.180000000000002e-06,
"loss": 2.1968,
"mean_token_accuracy": 0.580965013988316,
"num_tokens": 6523679.0,
"step": 460
},
{
"entropy": 1.28649943433702,
"epoch": 0.376,
"grad_norm": 0.007659912109375,
"learning_rate": 9.38e-06,
"loss": 2.2039,
"mean_token_accuracy": 0.5775518488138914,
"num_tokens": 6669278.0,
"step": 470
},
{
"entropy": 1.2801726717501878,
"epoch": 0.384,
"grad_norm": 0.01068115234375,
"learning_rate": 9.58e-06,
"loss": 2.1868,
"mean_token_accuracy": 0.5841207258403301,
"num_tokens": 6810978.0,
"step": 480
},
{
"entropy": 1.3082288071513175,
"epoch": 0.392,
"grad_norm": 0.01025390625,
"learning_rate": 9.780000000000001e-06,
"loss": 2.259,
"mean_token_accuracy": 0.5713578343391419,
"num_tokens": 6953929.0,
"step": 490
},
{
"entropy": 1.3287261452525854,
"epoch": 0.4,
"grad_norm": 0.008056640625,
"learning_rate": 9.980000000000001e-06,
"loss": 2.2733,
"mean_token_accuracy": 0.5687045747414231,
"num_tokens": 7096903.0,
"step": 500
},
{
"epoch": 0.4,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 7096903.0,
"eval_coding_runtime": 95.6459,
"eval_coding_samples_per_second": 5.228,
"eval_coding_steps_per_second": 2.614,
"step": 500
},
{
"epoch": 0.4,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 7096903.0,
"eval_math_runtime": 54.9641,
"eval_math_samples_per_second": 9.097,
"eval_math_steps_per_second": 4.548,
"step": 500
},
{
"entropy": 1.294243635982275,
"epoch": 0.408,
"grad_norm": 0.016845703125,
"learning_rate": 1.018e-05,
"loss": 2.2428,
"mean_token_accuracy": 0.5740567265078426,
"num_tokens": 7239071.0,
"step": 510
},
{
"entropy": 1.293457629531622,
"epoch": 0.416,
"grad_norm": 0.0140380859375,
"learning_rate": 1.038e-05,
"loss": 2.2374,
"mean_token_accuracy": 0.5770649960264563,
"num_tokens": 7377181.0,
"step": 520
},
{
"entropy": 1.29749961681664,
"epoch": 0.424,
"grad_norm": 0.01806640625,
"learning_rate": 1.0580000000000002e-05,
"loss": 2.1821,
"mean_token_accuracy": 0.5780813867226243,
"num_tokens": 7513035.0,
"step": 530
},
{
"entropy": 1.2768937222659589,
"epoch": 0.432,
"grad_norm": 0.00970458984375,
"learning_rate": 1.0780000000000002e-05,
"loss": 2.2319,
"mean_token_accuracy": 0.5752488367259503,
"num_tokens": 7650523.0,
"step": 540
},
{
"entropy": 1.27384728230536,
"epoch": 0.44,
"grad_norm": 0.0169677734375,
"learning_rate": 1.0980000000000002e-05,
"loss": 2.1808,
"mean_token_accuracy": 0.5803057106211782,
"num_tokens": 7794006.0,
"step": 550
},
{
"entropy": 1.2649936627596616,
"epoch": 0.448,
"grad_norm": 0.00933837890625,
"learning_rate": 1.1180000000000001e-05,
"loss": 2.1932,
"mean_token_accuracy": 0.5795159580186009,
"num_tokens": 7936788.0,
"step": 560
},
{
"entropy": 1.2891030061990023,
"epoch": 0.456,
"grad_norm": 0.00909423828125,
"learning_rate": 1.138e-05,
"loss": 2.2876,
"mean_token_accuracy": 0.5727174270898103,
"num_tokens": 8081035.0,
"step": 570
},
{
"entropy": 1.3052824169397355,
"epoch": 0.464,
"grad_norm": 0.0169677734375,
"learning_rate": 1.1580000000000001e-05,
"loss": 2.2796,
"mean_token_accuracy": 0.5737911343574524,
"num_tokens": 8223147.0,
"step": 580
},
{
"entropy": 1.2902213044464588,
"epoch": 0.472,
"grad_norm": 0.008544921875,
"learning_rate": 1.178e-05,
"loss": 2.2199,
"mean_token_accuracy": 0.5761593583971262,
"num_tokens": 8367380.0,
"step": 590
},
{
"entropy": 1.2913669254630804,
"epoch": 0.48,
"grad_norm": 0.0157470703125,
"learning_rate": 1.198e-05,
"loss": 2.2032,
"mean_token_accuracy": 0.581071512401104,
"num_tokens": 8506030.0,
"step": 600
},
{
"epoch": 0.48,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 8506030.0,
"eval_coding_runtime": 95.6191,
"eval_coding_samples_per_second": 5.229,
"eval_coding_steps_per_second": 2.615,
"step": 600
},
{
"epoch": 0.48,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 8506030.0,
"eval_math_runtime": 55.258,
"eval_math_samples_per_second": 9.048,
"eval_math_steps_per_second": 4.524,
"step": 600
},
{
"entropy": 1.2780281711369752,
"epoch": 0.488,
"grad_norm": 0.0093994140625,
"learning_rate": 1.218e-05,
"loss": 2.1848,
"mean_token_accuracy": 0.5809735087677836,
"num_tokens": 8646384.0,
"step": 610
},
{
"entropy": 1.2823347095400095,
"epoch": 0.496,
"grad_norm": 0.0125732421875,
"learning_rate": 1.2380000000000002e-05,
"loss": 2.2158,
"mean_token_accuracy": 0.5798389609903097,
"num_tokens": 8788726.0,
"step": 620
},
{
"entropy": 1.3198146648705005,
"epoch": 0.504,
"grad_norm": 0.00946044921875,
"learning_rate": 1.2580000000000002e-05,
"loss": 2.301,
"mean_token_accuracy": 0.5685374505817891,
"num_tokens": 8934959.0,
"step": 630
},
{
"entropy": 1.2555946599692107,
"epoch": 0.512,
"grad_norm": 0.0177001953125,
"learning_rate": 1.2780000000000001e-05,
"loss": 2.1431,
"mean_token_accuracy": 0.589201102592051,
"num_tokens": 9078039.0,
"step": 640
},
{
"entropy": 1.2702158033847808,
"epoch": 0.52,
"grad_norm": 0.024169921875,
"learning_rate": 1.2980000000000001e-05,
"loss": 2.1965,
"mean_token_accuracy": 0.5821724396198988,
"num_tokens": 9220298.0,
"step": 650
},
{
"entropy": 1.277011101320386,
"epoch": 0.528,
"grad_norm": 0.0118408203125,
"learning_rate": 1.3180000000000001e-05,
"loss": 2.2097,
"mean_token_accuracy": 0.5796491207554937,
"num_tokens": 9373860.0,
"step": 660
},
{
"entropy": 1.3105232425034046,
"epoch": 0.536,
"grad_norm": 0.00811767578125,
"learning_rate": 1.3380000000000002e-05,
"loss": 2.2839,
"mean_token_accuracy": 0.5706269716843962,
"num_tokens": 9515962.0,
"step": 670
},
{
"entropy": 1.2719210147857667,
"epoch": 0.544,
"grad_norm": 0.011474609375,
"learning_rate": 1.3580000000000002e-05,
"loss": 2.2322,
"mean_token_accuracy": 0.5780333954840898,
"num_tokens": 9660940.0,
"step": 680
},
{
"entropy": 1.336498522385955,
"epoch": 0.552,
"grad_norm": 0.00921630859375,
"learning_rate": 1.378e-05,
"loss": 2.2697,
"mean_token_accuracy": 0.5707717033103108,
"num_tokens": 9793170.0,
"step": 690
},
{
"entropy": 1.2782492753118277,
"epoch": 0.56,
"grad_norm": 0.00927734375,
"learning_rate": 1.398e-05,
"loss": 2.1596,
"mean_token_accuracy": 0.583821403235197,
"num_tokens": 9932302.0,
"step": 700
},
{
"epoch": 0.56,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 9932302.0,
"eval_coding_runtime": 95.6281,
"eval_coding_samples_per_second": 5.229,
"eval_coding_steps_per_second": 2.614,
"step": 700
},
{
"epoch": 0.56,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 9932302.0,
"eval_math_runtime": 55.2345,
"eval_math_samples_per_second": 9.052,
"eval_math_steps_per_second": 4.526,
"step": 700
},
{
"entropy": 1.2765720319002867,
"epoch": 0.568,
"grad_norm": 0.0135498046875,
"learning_rate": 1.418e-05,
"loss": 2.1618,
"mean_token_accuracy": 0.5836544273421168,
"num_tokens": 10072362.0,
"step": 710
},
{
"entropy": 1.3300136230885982,
"epoch": 0.576,
"grad_norm": 0.0101318359375,
"learning_rate": 1.4380000000000001e-05,
"loss": 2.3456,
"mean_token_accuracy": 0.5648340210318565,
"num_tokens": 10215462.0,
"step": 720
},
{
"entropy": 1.2994835320860147,
"epoch": 0.584,
"grad_norm": 0.01416015625,
"learning_rate": 1.4580000000000001e-05,
"loss": 2.2414,
"mean_token_accuracy": 0.5734376270323992,
"num_tokens": 10354952.0,
"step": 730
},
{
"entropy": 1.2754272140562535,
"epoch": 0.592,
"grad_norm": 0.01361083984375,
"learning_rate": 1.478e-05,
"loss": 2.1968,
"mean_token_accuracy": 0.5793214218690992,
"num_tokens": 10504396.0,
"step": 740
},
{
"entropy": 1.2948825549334289,
"epoch": 0.6,
"grad_norm": 0.0167236328125,
"learning_rate": 1.498e-05,
"loss": 2.209,
"mean_token_accuracy": 0.5778197368606925,
"num_tokens": 10644641.0,
"step": 750
},
{
"entropy": 1.309036424010992,
"epoch": 0.608,
"grad_norm": 0.0142822265625,
"learning_rate": 1.5180000000000002e-05,
"loss": 2.2825,
"mean_token_accuracy": 0.5746870728209614,
"num_tokens": 10793126.0,
"step": 760
},
{
"entropy": 1.2668032895773649,
"epoch": 0.616,
"grad_norm": 0.01904296875,
"learning_rate": 1.5380000000000002e-05,
"loss": 2.1989,
"mean_token_accuracy": 0.5822413913905621,
"num_tokens": 10941399.0,
"step": 770
},
{
"entropy": 1.2946851935237647,
"epoch": 0.624,
"grad_norm": 0.0086669921875,
"learning_rate": 1.5580000000000003e-05,
"loss": 2.2376,
"mean_token_accuracy": 0.574727876111865,
"num_tokens": 11081768.0,
"step": 780
},
{
"entropy": 1.2720156278461219,
"epoch": 0.632,
"grad_norm": 0.00726318359375,
"learning_rate": 1.578e-05,
"loss": 2.2091,
"mean_token_accuracy": 0.5791729586198926,
"num_tokens": 11226419.0,
"step": 790
},
{
"entropy": 1.2966302383691073,
"epoch": 0.64,
"grad_norm": 0.0103759765625,
"learning_rate": 1.5980000000000003e-05,
"loss": 2.2476,
"mean_token_accuracy": 0.5757431708276272,
"num_tokens": 11370320.0,
"step": 800
},
{
"epoch": 0.64,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 11370320.0,
"eval_coding_runtime": 95.6426,
"eval_coding_samples_per_second": 5.228,
"eval_coding_steps_per_second": 2.614,
"step": 800
},
{
"epoch": 0.64,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 11370320.0,
"eval_math_runtime": 55.2405,
"eval_math_samples_per_second": 9.051,
"eval_math_steps_per_second": 4.526,
"step": 800
},
{
"entropy": 1.2639863461256027,
"epoch": 0.648,
"grad_norm": 0.01806640625,
"learning_rate": 1.618e-05,
"loss": 2.2448,
"mean_token_accuracy": 0.5776080982759595,
"num_tokens": 11515332.0,
"step": 810
},
{
"entropy": 1.2712122540920974,
"epoch": 0.656,
"grad_norm": 0.01318359375,
"learning_rate": 1.638e-05,
"loss": 2.1846,
"mean_token_accuracy": 0.5818307081237435,
"num_tokens": 11657835.0,
"step": 820
},
{
"entropy": 1.3265905980020762,
"epoch": 0.664,
"grad_norm": 0.01007080078125,
"learning_rate": 1.658e-05,
"loss": 2.2425,
"mean_token_accuracy": 0.5686553552746773,
"num_tokens": 11799325.0,
"step": 830
},
{
"entropy": 1.291335643082857,
"epoch": 0.672,
"grad_norm": 0.0152587890625,
"learning_rate": 1.6780000000000002e-05,
"loss": 2.2767,
"mean_token_accuracy": 0.5738575926050544,
"num_tokens": 11949262.0,
"step": 840
},
{
"entropy": 1.2961845736950637,
"epoch": 0.68,
"grad_norm": 0.0164794921875,
"learning_rate": 1.698e-05,
"loss": 2.2309,
"mean_token_accuracy": 0.5745207356289029,
"num_tokens": 12090029.0,
"step": 850
},
{
"entropy": 1.301833227276802,
"epoch": 0.688,
"grad_norm": 0.011962890625,
"learning_rate": 1.718e-05,
"loss": 2.2309,
"mean_token_accuracy": 0.5745828906074166,
"num_tokens": 12227640.0,
"step": 860
},
{
"entropy": 1.3095486916601657,
"epoch": 0.696,
"grad_norm": 0.0087890625,
"learning_rate": 1.7380000000000003e-05,
"loss": 2.2881,
"mean_token_accuracy": 0.5654223879799247,
"num_tokens": 12371560.0,
"step": 870
},
{
"entropy": 1.2842330873012542,
"epoch": 0.704,
"grad_norm": 0.01055908203125,
"learning_rate": 1.758e-05,
"loss": 2.2148,
"mean_token_accuracy": 0.5752653010189533,
"num_tokens": 12516641.0,
"step": 880
},
{
"entropy": 1.3211415249854326,
"epoch": 0.712,
"grad_norm": 0.00799560546875,
"learning_rate": 1.7780000000000003e-05,
"loss": 2.2159,
"mean_token_accuracy": 0.571710304543376,
"num_tokens": 12656623.0,
"step": 890
},
{
"entropy": 1.2885905254632235,
"epoch": 0.72,
"grad_norm": 0.0201416015625,
"learning_rate": 1.798e-05,
"loss": 2.2299,
"mean_token_accuracy": 0.5760715741664171,
"num_tokens": 12793343.0,
"step": 900
},
{
"epoch": 0.72,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 12793343.0,
"eval_coding_runtime": 95.6394,
"eval_coding_samples_per_second": 5.228,
"eval_coding_steps_per_second": 2.614,
"step": 900
},
{
"epoch": 0.72,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 12793343.0,
"eval_math_runtime": 55.2679,
"eval_math_samples_per_second": 9.047,
"eval_math_steps_per_second": 4.523,
"step": 900
},
{
"entropy": 1.298223714157939,
"epoch": 0.728,
"grad_norm": 0.012939453125,
"learning_rate": 1.8180000000000002e-05,
"loss": 2.298,
"mean_token_accuracy": 0.5706229966133833,
"num_tokens": 12932479.0,
"step": 910
},
{
"entropy": 1.2950578905642032,
"epoch": 0.736,
"grad_norm": 0.01239013671875,
"learning_rate": 1.8380000000000004e-05,
"loss": 2.234,
"mean_token_accuracy": 0.5742258787155151,
"num_tokens": 13077981.0,
"step": 920
},
{
"entropy": 1.302649038657546,
"epoch": 0.744,
"grad_norm": 0.0211181640625,
"learning_rate": 1.858e-05,
"loss": 2.2467,
"mean_token_accuracy": 0.5736184434965252,
"num_tokens": 13217888.0,
"step": 930
},
{
"entropy": 1.2875377755612134,
"epoch": 0.752,
"grad_norm": 0.015869140625,
"learning_rate": 1.878e-05,
"loss": 2.2132,
"mean_token_accuracy": 0.575059812888503,
"num_tokens": 13358957.0,
"step": 940
},
{
"entropy": 1.2615925706923008,
"epoch": 0.76,
"grad_norm": 0.0096435546875,
"learning_rate": 1.898e-05,
"loss": 2.2597,
"mean_token_accuracy": 0.5791866419836879,
"num_tokens": 13510850.0,
"step": 950
},
{
"entropy": 1.269580041617155,
"epoch": 0.768,
"grad_norm": 0.0115966796875,
"learning_rate": 1.918e-05,
"loss": 2.2027,
"mean_token_accuracy": 0.5817427391186356,
"num_tokens": 13653412.0,
"step": 960
},
{
"entropy": 1.3158201549202204,
"epoch": 0.776,
"grad_norm": 0.00885009765625,
"learning_rate": 1.938e-05,
"loss": 2.2614,
"mean_token_accuracy": 0.5728385889902711,
"num_tokens": 13794252.0,
"step": 970
},
{
"entropy": 1.2957237258553504,
"epoch": 0.784,
"grad_norm": 0.00909423828125,
"learning_rate": 1.9580000000000002e-05,
"loss": 2.2335,
"mean_token_accuracy": 0.5786556912586093,
"num_tokens": 13940856.0,
"step": 980
},
{
"entropy": 1.285663042962551,
"epoch": 0.792,
"grad_norm": 0.020263671875,
"learning_rate": 1.978e-05,
"loss": 2.2096,
"mean_token_accuracy": 0.5792105477303267,
"num_tokens": 14086117.0,
"step": 990
},
{
"entropy": 1.3126300945878029,
"epoch": 0.8,
"grad_norm": 0.00958251953125,
"learning_rate": 1.9980000000000002e-05,
"loss": 2.3165,
"mean_token_accuracy": 0.5648046223446727,
"num_tokens": 14230754.0,
"step": 1000
},
{
"epoch": 0.8,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 14230754.0,
"eval_coding_runtime": 96.0895,
"eval_coding_samples_per_second": 5.203,
"eval_coding_steps_per_second": 2.602,
"step": 1000
},
{
"epoch": 0.8,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 14230754.0,
"eval_math_runtime": 54.9639,
"eval_math_samples_per_second": 9.097,
"eval_math_steps_per_second": 4.548,
"step": 1000
},
{
"entropy": 1.29276928268373,
"epoch": 0.808,
"grad_norm": 0.0126953125,
"learning_rate": 1.9980000000000002e-05,
"loss": 2.2326,
"mean_token_accuracy": 0.5718907188624144,
"num_tokens": 14374548.0,
"step": 1010
},
{
"entropy": 1.3095116015523671,
"epoch": 0.816,
"grad_norm": 0.01318359375,
"learning_rate": 1.995777777777778e-05,
"loss": 2.2316,
"mean_token_accuracy": 0.5726707259193062,
"num_tokens": 14519893.0,
"step": 1020
},
{
"entropy": 1.2931621059775353,
"epoch": 0.824,
"grad_norm": 0.0120849609375,
"learning_rate": 1.9935555555555557e-05,
"loss": 2.2255,
"mean_token_accuracy": 0.5791132707148791,
"num_tokens": 14664170.0,
"step": 1030
},
{
"entropy": 1.3060086965560913,
"epoch": 0.832,
"grad_norm": 0.0087890625,
"learning_rate": 1.9913333333333335e-05,
"loss": 2.2366,
"mean_token_accuracy": 0.5756228402256965,
"num_tokens": 14805088.0,
"step": 1040
},
{
"entropy": 1.29172132499516,
"epoch": 0.84,
"grad_norm": 0.00775146484375,
"learning_rate": 1.9891111111111112e-05,
"loss": 2.2138,
"mean_token_accuracy": 0.5763768455013633,
"num_tokens": 14944711.0,
"step": 1050
},
{
"entropy": 1.3122717272490263,
"epoch": 0.848,
"grad_norm": 0.00994873046875,
"learning_rate": 1.986888888888889e-05,
"loss": 2.2005,
"mean_token_accuracy": 0.5786851424723863,
"num_tokens": 15086306.0,
"step": 1060
},
{
"entropy": 1.3352035760879517,
"epoch": 0.856,
"grad_norm": 0.01043701171875,
"learning_rate": 1.9846666666666668e-05,
"loss": 2.3066,
"mean_token_accuracy": 0.5666656039655209,
"num_tokens": 15228872.0,
"step": 1070
},
{
"entropy": 1.2667071226984263,
"epoch": 0.864,
"grad_norm": 0.01251220703125,
"learning_rate": 1.9824444444444445e-05,
"loss": 2.1787,
"mean_token_accuracy": 0.5817643126472831,
"num_tokens": 15370985.0,
"step": 1080
},
{
"entropy": 1.3015164621174335,
"epoch": 0.872,
"grad_norm": 0.0103759765625,
"learning_rate": 1.9802222222222226e-05,
"loss": 2.2554,
"mean_token_accuracy": 0.5708118518814445,
"num_tokens": 15513360.0,
"step": 1090
},
{
"entropy": 1.3232146605849266,
"epoch": 0.88,
"grad_norm": 0.01025390625,
"learning_rate": 1.978e-05,
"loss": 2.222,
"mean_token_accuracy": 0.5751912448555231,
"num_tokens": 15653836.0,
"step": 1100
},
{
"epoch": 0.88,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 15653836.0,
"eval_coding_runtime": 95.6833,
"eval_coding_samples_per_second": 5.226,
"eval_coding_steps_per_second": 2.613,
"step": 1100
},
{
"epoch": 0.88,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 15653836.0,
"eval_math_runtime": 55.2235,
"eval_math_samples_per_second": 9.054,
"eval_math_steps_per_second": 4.527,
"step": 1100
},
{
"entropy": 1.2944145441055297,
"epoch": 0.888,
"grad_norm": 0.013427734375,
"learning_rate": 1.975777777777778e-05,
"loss": 2.2076,
"mean_token_accuracy": 0.579839687794447,
"num_tokens": 15791102.0,
"step": 1110
},
{
"entropy": 1.3253925543278455,
"epoch": 0.896,
"grad_norm": 0.00970458984375,
"learning_rate": 1.9735555555555556e-05,
"loss": 2.2785,
"mean_token_accuracy": 0.5721883840858937,
"num_tokens": 15932179.0,
"step": 1120
},
{
"entropy": 1.2849542308598756,
"epoch": 0.904,
"grad_norm": 0.033203125,
"learning_rate": 1.9713333333333337e-05,
"loss": 2.2034,
"mean_token_accuracy": 0.576960513740778,
"num_tokens": 16074409.0,
"step": 1130
},
{
"entropy": 1.2730964332818986,
"epoch": 0.912,
"grad_norm": 0.0089111328125,
"learning_rate": 1.969111111111111e-05,
"loss": 2.1835,
"mean_token_accuracy": 0.5821036446839571,
"num_tokens": 16219842.0,
"step": 1140
},
{
"entropy": 1.2843450970947743,
"epoch": 0.92,
"grad_norm": 0.009765625,
"learning_rate": 1.9668888888888892e-05,
"loss": 2.1674,
"mean_token_accuracy": 0.5814145233482122,
"num_tokens": 16359249.0,
"step": 1150
},
{
"entropy": 1.2754333186894655,
"epoch": 0.928,
"grad_norm": 0.011474609375,
"learning_rate": 1.9646666666666666e-05,
"loss": 2.176,
"mean_token_accuracy": 0.5827303070574998,
"num_tokens": 16499842.0,
"step": 1160
},
{
"entropy": 1.301246513798833,
"epoch": 0.936,
"grad_norm": 0.010498046875,
"learning_rate": 1.9624444444444447e-05,
"loss": 2.2071,
"mean_token_accuracy": 0.5731328945606947,
"num_tokens": 16640499.0,
"step": 1170
},
{
"entropy": 1.2947144400328399,
"epoch": 0.944,
"grad_norm": 0.01239013671875,
"learning_rate": 1.9602222222222225e-05,
"loss": 2.2016,
"mean_token_accuracy": 0.5806368073448539,
"num_tokens": 16781882.0,
"step": 1180
},
{
"entropy": 1.2729844357818365,
"epoch": 0.952,
"grad_norm": 0.00811767578125,
"learning_rate": 1.9580000000000002e-05,
"loss": 2.157,
"mean_token_accuracy": 0.5873358538374305,
"num_tokens": 16922913.0,
"step": 1190
},
{
"entropy": 1.3273278027772903,
"epoch": 0.96,
"grad_norm": 0.0133056640625,
"learning_rate": 1.955777777777778e-05,
"loss": 2.2697,
"mean_token_accuracy": 0.5692729642614722,
"num_tokens": 17067407.0,
"step": 1200
},
{
"epoch": 0.96,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 17067407.0,
"eval_coding_runtime": 95.6335,
"eval_coding_samples_per_second": 5.228,
"eval_coding_steps_per_second": 2.614,
"step": 1200
},
{
"epoch": 0.96,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 17067407.0,
"eval_math_runtime": 55.2304,
"eval_math_samples_per_second": 9.053,
"eval_math_steps_per_second": 4.526,
"step": 1200
},
{
"entropy": 1.2900268983095884,
"epoch": 0.968,
"grad_norm": 0.008056640625,
"learning_rate": 1.9535555555555557e-05,
"loss": 2.1958,
"mean_token_accuracy": 0.5768731584772467,
"num_tokens": 17211153.0,
"step": 1210
},
{
"entropy": 1.30126980766654,
"epoch": 0.976,
"grad_norm": 0.0245361328125,
"learning_rate": 1.9513333333333335e-05,
"loss": 2.2313,
"mean_token_accuracy": 0.5746001824736595,
"num_tokens": 17350994.0,
"step": 1220
},
{
"entropy": 1.294421959668398,
"epoch": 0.984,
"grad_norm": 0.018310546875,
"learning_rate": 1.9491111111111113e-05,
"loss": 2.2481,
"mean_token_accuracy": 0.5734764914959669,
"num_tokens": 17492960.0,
"step": 1230
},
{
"entropy": 1.3181488186120986,
"epoch": 0.992,
"grad_norm": 0.030517578125,
"learning_rate": 1.946888888888889e-05,
"loss": 2.3008,
"mean_token_accuracy": 0.5649250147864222,
"num_tokens": 17637514.0,
"step": 1240
},
{
"entropy": 1.3004115797579288,
"epoch": 1.0,
"grad_norm": 0.009033203125,
"learning_rate": 1.9446666666666668e-05,
"loss": 2.2079,
"mean_token_accuracy": 0.5754020158201456,
"num_tokens": 17780432.0,
"step": 1250
},
{
"entropy": 1.2847444698214532,
"epoch": 1.008,
"grad_norm": 0.017333984375,
"learning_rate": 1.9424444444444446e-05,
"loss": 2.1845,
"mean_token_accuracy": 0.5801492627710104,
"num_tokens": 17926570.0,
"step": 1260
},
{
"entropy": 1.2932130094617604,
"epoch": 1.016,
"grad_norm": 0.0189208984375,
"learning_rate": 1.9402222222222223e-05,
"loss": 2.2089,
"mean_token_accuracy": 0.5793235875666142,
"num_tokens": 18070722.0,
"step": 1270
},
{
"entropy": 1.2891677081584931,
"epoch": 1.024,
"grad_norm": 0.0081787109375,
"learning_rate": 1.938e-05,
"loss": 2.2189,
"mean_token_accuracy": 0.5802426967769861,
"num_tokens": 18207652.0,
"step": 1280
},
{
"entropy": 1.3298017375171185,
"epoch": 1.032,
"grad_norm": 0.00958251953125,
"learning_rate": 1.935777777777778e-05,
"loss": 2.2569,
"mean_token_accuracy": 0.5690007250756025,
"num_tokens": 18349030.0,
"step": 1290
},
{
"entropy": 1.2888877458870411,
"epoch": 1.04,
"grad_norm": 0.01336669921875,
"learning_rate": 1.9335555555555556e-05,
"loss": 2.2469,
"mean_token_accuracy": 0.5769451957195997,
"num_tokens": 18484931.0,
"step": 1300
},
{
"epoch": 1.04,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 18484931.0,
"eval_coding_runtime": 95.6088,
"eval_coding_samples_per_second": 5.23,
"eval_coding_steps_per_second": 2.615,
"step": 1300
},
{
"epoch": 1.04,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 18484931.0,
"eval_math_runtime": 55.238,
"eval_math_samples_per_second": 9.052,
"eval_math_steps_per_second": 4.526,
"step": 1300
},
{
"entropy": 1.3006268568336963,
"epoch": 1.048,
"grad_norm": 0.01495361328125,
"learning_rate": 1.9313333333333334e-05,
"loss": 2.2672,
"mean_token_accuracy": 0.5714229056611657,
"num_tokens": 18630034.0,
"step": 1310
},
{
"entropy": 1.279826521128416,
"epoch": 1.056,
"grad_norm": 0.0164794921875,
"learning_rate": 1.9291111111111115e-05,
"loss": 2.2346,
"mean_token_accuracy": 0.5772927038371563,
"num_tokens": 18773457.0,
"step": 1320
},
{
"entropy": 1.311249329522252,
"epoch": 1.064,
"grad_norm": 0.0126953125,
"learning_rate": 1.926888888888889e-05,
"loss": 2.3087,
"mean_token_accuracy": 0.5693608418107032,
"num_tokens": 18918389.0,
"step": 1330
},
{
"entropy": 1.2683462664484977,
"epoch": 1.072,
"grad_norm": 0.0140380859375,
"learning_rate": 1.924666666666667e-05,
"loss": 2.225,
"mean_token_accuracy": 0.5798949740827084,
"num_tokens": 19055365.0,
"step": 1340
},
{
"entropy": 1.3234039679169656,
"epoch": 1.08,
"grad_norm": 0.0096435546875,
"learning_rate": 1.9224444444444444e-05,
"loss": 2.2342,
"mean_token_accuracy": 0.572484284453094,
"num_tokens": 19202006.0,
"step": 1350
},
{
"entropy": 1.2823971390724183,
"epoch": 1.088,
"grad_norm": 0.00909423828125,
"learning_rate": 1.9202222222222225e-05,
"loss": 2.2072,
"mean_token_accuracy": 0.5814019978046417,
"num_tokens": 19345730.0,
"step": 1360
},
{
"entropy": 1.328789808228612,
"epoch": 1.096,
"grad_norm": 0.008544921875,
"learning_rate": 1.918e-05,
"loss": 2.274,
"mean_token_accuracy": 0.5689424321055412,
"num_tokens": 19494084.0,
"step": 1370
},
{
"entropy": 1.2878280565142632,
"epoch": 1.104,
"grad_norm": 0.01165771484375,
"learning_rate": 1.915777777777778e-05,
"loss": 2.2215,
"mean_token_accuracy": 0.5786661734804511,
"num_tokens": 19637390.0,
"step": 1380
},
{
"entropy": 1.2910890705883502,
"epoch": 1.112,
"grad_norm": 0.018310546875,
"learning_rate": 1.9135555555555555e-05,
"loss": 2.2246,
"mean_token_accuracy": 0.5769055737182498,
"num_tokens": 19777388.0,
"step": 1390
},
{
"entropy": 1.2642895836383103,
"epoch": 1.12,
"grad_norm": 0.01123046875,
"learning_rate": 1.9113333333333336e-05,
"loss": 2.2314,
"mean_token_accuracy": 0.5781507005915045,
"num_tokens": 19923914.0,
"step": 1400
},
{
"epoch": 1.12,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 19923914.0,
"eval_coding_runtime": 95.6535,
"eval_coding_samples_per_second": 5.227,
"eval_coding_steps_per_second": 2.614,
"step": 1400
},
{
"epoch": 1.12,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 19923914.0,
"eval_math_runtime": 55.1965,
"eval_math_samples_per_second": 9.059,
"eval_math_steps_per_second": 4.529,
"step": 1400
},
{
"entropy": 1.3085532050579787,
"epoch": 1.1280000000000001,
"grad_norm": 0.01422119140625,
"learning_rate": 1.9091111111111113e-05,
"loss": 2.322,
"mean_token_accuracy": 0.5657644450664521,
"num_tokens": 20061623.0,
"step": 1410
},
{
"entropy": 1.2904092378914356,
"epoch": 1.1360000000000001,
"grad_norm": 0.017333984375,
"learning_rate": 1.906888888888889e-05,
"loss": 2.2418,
"mean_token_accuracy": 0.5722202086821199,
"num_tokens": 20201892.0,
"step": 1420
},
{
"entropy": 1.297779395803809,
"epoch": 1.144,
"grad_norm": 0.0078125,
"learning_rate": 1.904666666666667e-05,
"loss": 2.2403,
"mean_token_accuracy": 0.5758582351729273,
"num_tokens": 20343948.0,
"step": 1430
},
{
"entropy": 1.302032370120287,
"epoch": 1.152,
"grad_norm": 0.00811767578125,
"learning_rate": 1.9024444444444446e-05,
"loss": 2.2752,
"mean_token_accuracy": 0.57330860812217,
"num_tokens": 20490282.0,
"step": 1440
},
{
"entropy": 1.2779104180634022,
"epoch": 1.16,
"grad_norm": 0.0203857421875,
"learning_rate": 1.9002222222222224e-05,
"loss": 2.1719,
"mean_token_accuracy": 0.5854279346764087,
"num_tokens": 20641737.0,
"step": 1450
},
{
"entropy": 1.2778663296252488,
"epoch": 1.168,
"grad_norm": 0.025146484375,
"learning_rate": 1.898e-05,
"loss": 2.173,
"mean_token_accuracy": 0.582743788510561,
"num_tokens": 20785786.0,
"step": 1460
},
{
"entropy": 1.3081208609044552,
"epoch": 1.176,
"grad_norm": 0.015380859375,
"learning_rate": 1.895777777777778e-05,
"loss": 2.2775,
"mean_token_accuracy": 0.5689503744244575,
"num_tokens": 20928880.0,
"step": 1470
},
{
"entropy": 1.2751742608845233,
"epoch": 1.184,
"grad_norm": 0.0086669921875,
"learning_rate": 1.8935555555555556e-05,
"loss": 2.2062,
"mean_token_accuracy": 0.5821780592203141,
"num_tokens": 21074205.0,
"step": 1480
},
{
"entropy": 1.27163728736341,
"epoch": 1.192,
"grad_norm": 0.017822265625,
"learning_rate": 1.8913333333333334e-05,
"loss": 2.1817,
"mean_token_accuracy": 0.5830474335700273,
"num_tokens": 21222288.0,
"step": 1490
},
{
"entropy": 1.2738530434668065,
"epoch": 1.2,
"grad_norm": 0.011962890625,
"learning_rate": 1.8891111111111115e-05,
"loss": 2.1801,
"mean_token_accuracy": 0.5803947079926729,
"num_tokens": 21369159.0,
"step": 1500
},
{
"epoch": 1.2,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 21369159.0,
"eval_coding_runtime": 95.695,
"eval_coding_samples_per_second": 5.225,
"eval_coding_steps_per_second": 2.612,
"step": 1500
},
{
"epoch": 1.2,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 21369159.0,
"eval_math_runtime": 54.7644,
"eval_math_samples_per_second": 9.13,
"eval_math_steps_per_second": 4.565,
"step": 1500
},
{
"entropy": 1.3021067466586829,
"epoch": 1.208,
"grad_norm": 0.01422119140625,
"learning_rate": 1.886888888888889e-05,
"loss": 2.1707,
"mean_token_accuracy": 0.5797995328903198,
"num_tokens": 21511015.0,
"step": 1510
},
{
"entropy": 1.303629470616579,
"epoch": 1.216,
"grad_norm": 0.01251220703125,
"learning_rate": 1.884666666666667e-05,
"loss": 2.1907,
"mean_token_accuracy": 0.577221317216754,
"num_tokens": 21649178.0,
"step": 1520
},
{
"entropy": 1.2927171494811773,
"epoch": 1.224,
"grad_norm": 0.022216796875,
"learning_rate": 1.8824444444444445e-05,
"loss": 2.2467,
"mean_token_accuracy": 0.5752095308154821,
"num_tokens": 21790802.0,
"step": 1530
},
{
"entropy": 1.2608089979737997,
"epoch": 1.232,
"grad_norm": 0.01416015625,
"learning_rate": 1.8802222222222226e-05,
"loss": 2.1654,
"mean_token_accuracy": 0.58616862334311,
"num_tokens": 21930239.0,
"step": 1540
},
{
"entropy": 1.279138757288456,
"epoch": 1.24,
"grad_norm": 0.0164794921875,
"learning_rate": 1.878e-05,
"loss": 2.1775,
"mean_token_accuracy": 0.579110798984766,
"num_tokens": 22075270.0,
"step": 1550
},
{
"entropy": 1.2945632576942443,
"epoch": 1.248,
"grad_norm": 0.015380859375,
"learning_rate": 1.875777777777778e-05,
"loss": 2.2213,
"mean_token_accuracy": 0.5734076691791415,
"num_tokens": 22216387.0,
"step": 1560
},
{
"entropy": 1.314554738625884,
"epoch": 1.256,
"grad_norm": 0.021484375,
"learning_rate": 1.873555555555556e-05,
"loss": 2.2745,
"mean_token_accuracy": 0.5707367097958922,
"num_tokens": 22359813.0,
"step": 1570
},
{
"entropy": 1.32604789622128,
"epoch": 1.264,
"grad_norm": 0.011962890625,
"learning_rate": 1.8713333333333336e-05,
"loss": 2.25,
"mean_token_accuracy": 0.5707180803641677,
"num_tokens": 22501002.0,
"step": 1580
},
{
"entropy": 1.280422120168805,
"epoch": 1.272,
"grad_norm": 0.008056640625,
"learning_rate": 1.8691111111111114e-05,
"loss": 2.1828,
"mean_token_accuracy": 0.581519584544003,
"num_tokens": 22634652.0,
"step": 1590
},
{
"entropy": 1.2957364562898874,
"epoch": 1.28,
"grad_norm": 0.0185546875,
"learning_rate": 1.866888888888889e-05,
"loss": 2.2264,
"mean_token_accuracy": 0.5763478111475706,
"num_tokens": 22779682.0,
"step": 1600
},
{
"epoch": 1.28,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 22779682.0,
"eval_coding_runtime": 95.6936,
"eval_coding_samples_per_second": 5.225,
"eval_coding_steps_per_second": 2.613,
"step": 1600
},
{
"epoch": 1.28,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 22779682.0,
"eval_math_runtime": 55.2565,
"eval_math_samples_per_second": 9.049,
"eval_math_steps_per_second": 4.524,
"step": 1600
},
{
"entropy": 1.2870917547494174,
"epoch": 1.288,
"grad_norm": 0.01287841796875,
"learning_rate": 1.864666666666667e-05,
"loss": 2.1935,
"mean_token_accuracy": 0.5807379197329283,
"num_tokens": 22919374.0,
"step": 1610
},
{
"entropy": 1.268484988436103,
"epoch": 1.296,
"grad_norm": 0.01123046875,
"learning_rate": 1.8624444444444446e-05,
"loss": 2.183,
"mean_token_accuracy": 0.5854335069656372,
"num_tokens": 23057744.0,
"step": 1620
},
{
"entropy": 1.2904878597706557,
"epoch": 1.304,
"grad_norm": 0.0120849609375,
"learning_rate": 1.8602222222222224e-05,
"loss": 2.2618,
"mean_token_accuracy": 0.5753191851079464,
"num_tokens": 23201590.0,
"step": 1630
},
{
"entropy": 1.3022067859768867,
"epoch": 1.312,
"grad_norm": 0.0281982421875,
"learning_rate": 1.858e-05,
"loss": 2.2992,
"mean_token_accuracy": 0.5704338105395437,
"num_tokens": 23344644.0,
"step": 1640
},
{
"entropy": 1.3129540402442217,
"epoch": 1.32,
"grad_norm": 0.007171630859375,
"learning_rate": 1.855777777777778e-05,
"loss": 2.2085,
"mean_token_accuracy": 0.5713952157646418,
"num_tokens": 23485056.0,
"step": 1650
},
{
"entropy": 1.3017708092927933,
"epoch": 1.328,
"grad_norm": 0.008056640625,
"learning_rate": 1.8535555555555557e-05,
"loss": 2.1954,
"mean_token_accuracy": 0.5752975823357701,
"num_tokens": 23622405.0,
"step": 1660
},
{
"entropy": 1.289170829206705,
"epoch": 1.336,
"grad_norm": 0.00732421875,
"learning_rate": 1.8513333333333335e-05,
"loss": 2.2301,
"mean_token_accuracy": 0.5756044138222933,
"num_tokens": 23760641.0,
"step": 1670
},
{
"entropy": 1.262322897836566,
"epoch": 1.3439999999999999,
"grad_norm": 0.023193359375,
"learning_rate": 1.8491111111111112e-05,
"loss": 2.1401,
"mean_token_accuracy": 0.5876206021755934,
"num_tokens": 23899771.0,
"step": 1680
},
{
"entropy": 1.275562158226967,
"epoch": 1.3519999999999999,
"grad_norm": 0.00958251953125,
"learning_rate": 1.846888888888889e-05,
"loss": 2.1845,
"mean_token_accuracy": 0.5808436365798115,
"num_tokens": 24041995.0,
"step": 1690
},
{
"entropy": 1.2879225231707097,
"epoch": 1.3599999999999999,
"grad_norm": 0.010498046875,
"learning_rate": 1.8446666666666667e-05,
"loss": 2.2334,
"mean_token_accuracy": 0.5763995088636875,
"num_tokens": 24187023.0,
"step": 1700
},
{
"epoch": 1.3599999999999999,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 24187023.0,
"eval_coding_runtime": 95.7407,
"eval_coding_samples_per_second": 5.222,
"eval_coding_steps_per_second": 2.611,
"step": 1700
},
{
"epoch": 1.3599999999999999,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 24187023.0,
"eval_math_runtime": 55.2772,
"eval_math_samples_per_second": 9.045,
"eval_math_steps_per_second": 4.523,
"step": 1700
},
{
"entropy": 1.2914761129766703,
"epoch": 1.3679999999999999,
"grad_norm": 0.007598876953125,
"learning_rate": 1.842444444444445e-05,
"loss": 2.2328,
"mean_token_accuracy": 0.5740274475887418,
"num_tokens": 24325844.0,
"step": 1710
},
{
"entropy": 1.353976671770215,
"epoch": 1.376,
"grad_norm": 0.01495361328125,
"learning_rate": 1.8402222222222223e-05,
"loss": 2.3016,
"mean_token_accuracy": 0.5633362045511603,
"num_tokens": 24466132.0,
"step": 1720
},
{
"entropy": 1.2960197813808918,
"epoch": 1.384,
"grad_norm": 0.00830078125,
"learning_rate": 1.8380000000000004e-05,
"loss": 2.2201,
"mean_token_accuracy": 0.5783739054575563,
"num_tokens": 24606147.0,
"step": 1730
},
{
"entropy": 1.2861021481454373,
"epoch": 1.392,
"grad_norm": 0.00933837890625,
"learning_rate": 1.8357777777777778e-05,
"loss": 2.1876,
"mean_token_accuracy": 0.5815011257305741,
"num_tokens": 24748043.0,
"step": 1740
},
{
"entropy": 1.268753108009696,
"epoch": 1.4,
"grad_norm": 0.0189208984375,
"learning_rate": 1.833555555555556e-05,
"loss": 2.2244,
"mean_token_accuracy": 0.5804416090250015,
"num_tokens": 24894293.0,
"step": 1750
},
{
"entropy": 1.2929484587162734,
"epoch": 1.408,
"grad_norm": 0.021240234375,
"learning_rate": 1.8313333333333333e-05,
"loss": 2.2083,
"mean_token_accuracy": 0.575320690125227,
"num_tokens": 25036674.0,
"step": 1760
},
{
"entropy": 1.2982839655131102,
"epoch": 1.416,
"grad_norm": 0.021484375,
"learning_rate": 1.8291111111111114e-05,
"loss": 2.2784,
"mean_token_accuracy": 0.5741079377010465,
"num_tokens": 25178935.0,
"step": 1770
},
{
"entropy": 1.2535257052630187,
"epoch": 1.424,
"grad_norm": 0.007110595703125,
"learning_rate": 1.8268888888888888e-05,
"loss": 2.1463,
"mean_token_accuracy": 0.5878499284386635,
"num_tokens": 25324579.0,
"step": 1780
},
{
"entropy": 1.286781796067953,
"epoch": 1.432,
"grad_norm": 0.0107421875,
"learning_rate": 1.824666666666667e-05,
"loss": 2.2089,
"mean_token_accuracy": 0.576385061070323,
"num_tokens": 25466485.0,
"step": 1790
},
{
"entropy": 1.3003978207707405,
"epoch": 1.44,
"grad_norm": 0.016357421875,
"learning_rate": 1.8224444444444447e-05,
"loss": 2.2481,
"mean_token_accuracy": 0.5751635741442442,
"num_tokens": 25606824.0,
"step": 1800
},
{
"epoch": 1.44,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 25606824.0,
"eval_coding_runtime": 95.6673,
"eval_coding_samples_per_second": 5.226,
"eval_coding_steps_per_second": 2.613,
"step": 1800
},
{
"epoch": 1.44,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 25606824.0,
"eval_math_runtime": 55.2224,
"eval_math_samples_per_second": 9.054,
"eval_math_steps_per_second": 4.527,
"step": 1800
},
{
"entropy": 1.2908053163439035,
"epoch": 1.448,
"grad_norm": 0.00799560546875,
"learning_rate": 1.8202222222222225e-05,
"loss": 2.1957,
"mean_token_accuracy": 0.5789953164756299,
"num_tokens": 25745729.0,
"step": 1810
},
{
"entropy": 1.273376001417637,
"epoch": 1.456,
"grad_norm": 0.01336669921875,
"learning_rate": 1.8180000000000002e-05,
"loss": 2.1926,
"mean_token_accuracy": 0.5779400140047073,
"num_tokens": 25886396.0,
"step": 1820
},
{
"entropy": 1.2855514109134674,
"epoch": 1.464,
"grad_norm": 0.010498046875,
"learning_rate": 1.815777777777778e-05,
"loss": 2.2374,
"mean_token_accuracy": 0.5767241906374693,
"num_tokens": 26026227.0,
"step": 1830
},
{
"entropy": 1.2807271871715784,
"epoch": 1.472,
"grad_norm": 0.00823974609375,
"learning_rate": 1.8135555555555557e-05,
"loss": 2.1749,
"mean_token_accuracy": 0.5822155047208071,
"num_tokens": 26163618.0,
"step": 1840
},
{
"entropy": 1.3182869713753462,
"epoch": 1.48,
"grad_norm": 0.01318359375,
"learning_rate": 1.8113333333333335e-05,
"loss": 2.2544,
"mean_token_accuracy": 0.5738100804388523,
"num_tokens": 26299086.0,
"step": 1850
},
{
"entropy": 1.3167364660650491,
"epoch": 1.488,
"grad_norm": 0.01043701171875,
"learning_rate": 1.8091111111111113e-05,
"loss": 2.2364,
"mean_token_accuracy": 0.5735991884022951,
"num_tokens": 26438338.0,
"step": 1860
},
{
"entropy": 1.2824474953114986,
"epoch": 1.496,
"grad_norm": 0.0125732421875,
"learning_rate": 1.806888888888889e-05,
"loss": 2.2469,
"mean_token_accuracy": 0.5744533261284233,
"num_tokens": 26583001.0,
"step": 1870
},
{
"entropy": 1.277822620794177,
"epoch": 1.504,
"grad_norm": 0.018798828125,
"learning_rate": 1.8046666666666668e-05,
"loss": 2.2308,
"mean_token_accuracy": 0.5790910394862294,
"num_tokens": 26729255.0,
"step": 1880
},
{
"entropy": 1.2929816491901875,
"epoch": 1.512,
"grad_norm": 0.00946044921875,
"learning_rate": 1.8024444444444445e-05,
"loss": 2.2212,
"mean_token_accuracy": 0.5757774453610182,
"num_tokens": 26870139.0,
"step": 1890
},
{
"entropy": 1.28971153460443,
"epoch": 1.52,
"grad_norm": 0.010498046875,
"learning_rate": 1.8002222222222223e-05,
"loss": 2.2155,
"mean_token_accuracy": 0.5779576146975159,
"num_tokens": 27017935.0,
"step": 1900
},
{
"epoch": 1.52,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 27017935.0,
"eval_coding_runtime": 95.8867,
"eval_coding_samples_per_second": 5.214,
"eval_coding_steps_per_second": 2.607,
"step": 1900
},
{
"epoch": 1.52,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 27017935.0,
"eval_math_runtime": 55.1777,
"eval_math_samples_per_second": 9.062,
"eval_math_steps_per_second": 4.531,
"step": 1900
},
{
"entropy": 1.331830918043852,
"epoch": 1.528,
"grad_norm": 0.009033203125,
"learning_rate": 1.798e-05,
"loss": 2.2721,
"mean_token_accuracy": 0.5682261852547527,
"num_tokens": 27159322.0,
"step": 1910
},
{
"entropy": 1.2588583029806615,
"epoch": 1.536,
"grad_norm": 0.00848388671875,
"learning_rate": 1.7957777777777778e-05,
"loss": 2.1588,
"mean_token_accuracy": 0.5847917202860117,
"num_tokens": 27306339.0,
"step": 1920
},
{
"entropy": 1.2904524333775043,
"epoch": 1.544,
"grad_norm": 0.01312255859375,
"learning_rate": 1.7935555555555556e-05,
"loss": 2.2221,
"mean_token_accuracy": 0.5756975743919611,
"num_tokens": 27445653.0,
"step": 1930
},
{
"entropy": 1.2871752437204123,
"epoch": 1.552,
"grad_norm": 0.00830078125,
"learning_rate": 1.7913333333333337e-05,
"loss": 2.22,
"mean_token_accuracy": 0.5743231695145369,
"num_tokens": 27591959.0,
"step": 1940
},
{
"entropy": 1.2857405241578816,
"epoch": 1.56,
"grad_norm": 0.0101318359375,
"learning_rate": 1.789111111111111e-05,
"loss": 2.2188,
"mean_token_accuracy": 0.5781919835135341,
"num_tokens": 27736783.0,
"step": 1950
},
{
"entropy": 1.2675248205661773,
"epoch": 1.568,
"grad_norm": 0.009033203125,
"learning_rate": 1.7868888888888892e-05,
"loss": 2.2334,
"mean_token_accuracy": 0.5779768938198686,
"num_tokens": 27884398.0,
"step": 1960
},
{
"entropy": 1.3143243368715047,
"epoch": 1.576,
"grad_norm": 0.01068115234375,
"learning_rate": 1.7846666666666666e-05,
"loss": 2.2206,
"mean_token_accuracy": 0.5736559564247727,
"num_tokens": 28025205.0,
"step": 1970
},
{
"entropy": 1.2710258401930332,
"epoch": 1.584,
"grad_norm": 0.00933837890625,
"learning_rate": 1.7824444444444447e-05,
"loss": 2.1864,
"mean_token_accuracy": 0.5820634830743074,
"num_tokens": 28171274.0,
"step": 1980
},
{
"entropy": 1.2678415119647979,
"epoch": 1.592,
"grad_norm": 0.0164794921875,
"learning_rate": 1.780222222222222e-05,
"loss": 2.2105,
"mean_token_accuracy": 0.5788672368973493,
"num_tokens": 28311058.0,
"step": 1990
},
{
"entropy": 1.2863474819809197,
"epoch": 1.6,
"grad_norm": 0.0166015625,
"learning_rate": 1.7780000000000003e-05,
"loss": 2.2279,
"mean_token_accuracy": 0.5786767426878214,
"num_tokens": 28457624.0,
"step": 2000
},
{
"epoch": 1.6,
"eval_coding_entropy": 1.266241003036499,
"eval_coding_loss": 1.2625732421875,
"eval_coding_mean_token_accuracy": 0.6838934738636017,
"eval_coding_num_tokens": 28457624.0,
"eval_coding_runtime": 95.6104,
"eval_coding_samples_per_second": 5.23,
"eval_coding_steps_per_second": 2.615,
"step": 2000
},
{
"epoch": 1.6,
"eval_math_entropy": 1.2986711366176604,
"eval_math_loss": 2.2429049015045166,
"eval_math_mean_token_accuracy": 0.5744417759180069,
"eval_math_num_tokens": 28457624.0,
"eval_math_runtime": 54.9191,
"eval_math_samples_per_second": 9.104,
"eval_math_steps_per_second": 4.552,
"step": 2000
}
],
"logging_steps": 10,
"max_steps": 10000,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"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": 2.32515376937045e+18,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}