caffeic's picture
Upload folder using huggingface_hub
65d4134 verified
Raw
History Blame Contribute Delete
67.3 kB
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.9333333333333333,
"eval_steps": 50,
"global_step": 1450,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"accuracy": 0.65,
"epoch": 0.013333333333333334,
"grad_norm": 26.781282424926758,
"learning_rate": 4.970000000000001e-06,
"loss": 0.6315235137939453,
"margin": 0.18203125,
"max_reward": -1.005078125,
"mean_reward": -1.4798828125,
"min_reward": -1.972265625,
"num_tokens": 16214.0,
"step": 10
},
{
"accuracy": 0.35,
"epoch": 0.02666666666666667,
"grad_norm": 18.78548812866211,
"learning_rate": 4.936666666666667e-06,
"loss": 0.9058952331542969,
"margin": -0.21234130859375,
"max_reward": -0.0454345703125,
"mean_reward": -1.138067626953125,
"min_reward": -2.29296875,
"num_tokens": 32750.0,
"step": 20
},
{
"accuracy": 0.65,
"epoch": 0.04,
"grad_norm": 23.18710708618164,
"learning_rate": 4.9033333333333335e-06,
"loss": 0.666615343093872,
"margin": 0.1455078125,
"max_reward": -0.2720703125,
"mean_reward": -0.9361328125,
"min_reward": -1.67734375,
"num_tokens": 49136.0,
"step": 30
},
{
"accuracy": 0.55,
"epoch": 0.05333333333333334,
"grad_norm": 23.498512268066406,
"learning_rate": 4.87e-06,
"loss": 0.775050687789917,
"margin": -0.038720703125,
"max_reward": -0.69931640625,
"mean_reward": -1.3807861328125,
"min_reward": -1.86953125,
"num_tokens": 64999.0,
"step": 40
},
{
"accuracy": 0.7,
"epoch": 0.06666666666666667,
"grad_norm": 25.616416931152344,
"learning_rate": 4.836666666666667e-06,
"loss": 0.6898736953735352,
"margin": 0.26455078125,
"max_reward": -0.5318359375,
"mean_reward": -1.313720703125,
"min_reward": -2.13203125,
"num_tokens": 82563.0,
"step": 50
},
{
"epoch": 0.06666666666666667,
"eval_accuracy": 0.532,
"eval_loss": 0.7488015294075012,
"eval_margin": 0.0769696044921875,
"eval_max_reward": -1.1200030517578126,
"eval_mean_reward": -1.4668482055664063,
"eval_min_reward": -1.813693359375,
"eval_num_tokens": 82563.0,
"eval_runtime": 59.7497,
"eval_samples_per_second": 8.368,
"eval_steps_per_second": 8.368,
"step": 50
},
{
"accuracy": 0.5,
"epoch": 0.08,
"grad_norm": 47.123233795166016,
"learning_rate": 4.803333333333334e-06,
"loss": 0.7043657302856445,
"margin": 0.144775390625,
"max_reward": -0.82724609375,
"mean_reward": -1.5813232421875,
"min_reward": -2.2578125,
"num_tokens": 100158.0,
"step": 60
},
{
"accuracy": 0.45,
"epoch": 0.09333333333333334,
"grad_norm": 43.35136032104492,
"learning_rate": 4.77e-06,
"loss": 0.7232241630554199,
"margin": 0.070654296875,
"max_reward": -1.10107421875,
"mean_reward": -1.6929443359375,
"min_reward": -2.36640625,
"num_tokens": 116349.0,
"step": 70
},
{
"accuracy": 0.35,
"epoch": 0.10666666666666667,
"grad_norm": 38.70017623901367,
"learning_rate": 4.736666666666667e-06,
"loss": 0.9364012718200684,
"margin": -0.284765625,
"max_reward": -0.4794921875,
"mean_reward": -1.26298828125,
"min_reward": -1.909375,
"num_tokens": 132123.0,
"step": 80
},
{
"accuracy": 0.45,
"epoch": 0.12,
"grad_norm": 29.024276733398438,
"learning_rate": 4.703333333333334e-06,
"loss": 0.8137557983398438,
"margin": -0.1231597900390625,
"max_reward": 0.445391845703125,
"mean_reward": -0.22428436279296876,
"min_reward": -0.788671875,
"num_tokens": 147982.0,
"step": 90
},
{
"accuracy": 0.45,
"epoch": 0.13333333333333333,
"grad_norm": 34.12649154663086,
"learning_rate": 4.670000000000001e-06,
"loss": 0.7763675689697266,
"margin": -0.06761474609375,
"max_reward": 0.74072265625,
"mean_reward": 0.255206298828125,
"min_reward": -0.2246826171875,
"num_tokens": 164058.0,
"step": 100
},
{
"epoch": 0.13333333333333333,
"eval_accuracy": 0.51,
"eval_loss": 0.7375237941741943,
"eval_margin": 0.008534343719482421,
"eval_max_reward": 0.5244478607177734,
"eval_mean_reward": 0.2890134220123291,
"eval_min_reward": 0.053578983306884764,
"eval_num_tokens": 164058.0,
"eval_runtime": 62.906,
"eval_samples_per_second": 7.948,
"eval_steps_per_second": 7.948,
"step": 100
},
{
"accuracy": 0.45,
"epoch": 0.14666666666666667,
"grad_norm": 41.91898727416992,
"learning_rate": 4.6366666666666674e-06,
"loss": 0.7357148647308349,
"margin": -0.05003662109375,
"max_reward": 0.8333984375,
"mean_reward": 0.398614501953125,
"min_reward": -0.0110595703125,
"num_tokens": 180287.0,
"step": 110
},
{
"accuracy": 0.45,
"epoch": 0.16,
"grad_norm": 27.607086181640625,
"learning_rate": 4.603333333333334e-06,
"loss": 0.7425424575805664,
"margin": -0.05296630859375,
"max_reward": 0.73359375,
"mean_reward": 0.207928466796875,
"min_reward": -0.285498046875,
"num_tokens": 195395.0,
"step": 120
},
{
"accuracy": 0.55,
"epoch": 0.17333333333333334,
"grad_norm": 18.465009689331055,
"learning_rate": 4.57e-06,
"loss": 0.7002963066101074,
"margin": 0.0166015625,
"max_reward": 0.15341796875,
"mean_reward": -0.245654296875,
"min_reward": -0.6259765625,
"num_tokens": 211423.0,
"step": 130
},
{
"accuracy": 0.85,
"epoch": 0.18666666666666668,
"grad_norm": 24.311744689941406,
"learning_rate": 4.536666666666667e-06,
"loss": 0.5668483257293702,
"margin": 0.39488706588745115,
"max_reward": 0.4626953125,
"mean_reward": -0.23407502174377443,
"min_reward": -0.8857421875,
"num_tokens": 227155.0,
"step": 140
},
{
"accuracy": 0.55,
"epoch": 0.2,
"grad_norm": 27.90814971923828,
"learning_rate": 4.503333333333333e-06,
"loss": 0.9236076354980469,
"margin": 0.2251708984375,
"max_reward": 1.816796875,
"mean_reward": 0.43135986328125,
"min_reward": -1.107373046875,
"num_tokens": 243609.0,
"step": 150
},
{
"epoch": 0.2,
"eval_accuracy": 0.568,
"eval_loss": 0.9139922857284546,
"eval_margin": 0.21751553344726562,
"eval_max_reward": 1.1517796630859376,
"eval_mean_reward": 0.4644862823486328,
"eval_min_reward": -0.22280709838867188,
"eval_num_tokens": 243609.0,
"eval_runtime": 62.3021,
"eval_samples_per_second": 8.025,
"eval_steps_per_second": 8.025,
"step": 150
},
{
"accuracy": 0.5,
"epoch": 0.21333333333333335,
"grad_norm": 47.18056869506836,
"learning_rate": 4.47e-06,
"loss": 1.0227947235107422,
"margin": -0.06168212890625,
"max_reward": 1.634716796875,
"mean_reward": 0.546588134765625,
"min_reward": -0.413671875,
"num_tokens": 261657.0,
"step": 160
},
{
"accuracy": 0.5,
"epoch": 0.22666666666666666,
"grad_norm": 19.242305755615234,
"learning_rate": 4.436666666666667e-06,
"loss": 0.6836428642272949,
"margin": 0.1833953857421875,
"max_reward": 0.95390625,
"mean_reward": 0.25375518798828123,
"min_reward": -0.5401123046875,
"num_tokens": 277075.0,
"step": 170
},
{
"accuracy": 0.65,
"epoch": 0.24,
"grad_norm": 13.613568305969238,
"learning_rate": 4.403333333333334e-06,
"loss": 0.5862503528594971,
"margin": 0.335546875,
"max_reward": 0.95908203125,
"mean_reward": 0.436962890625,
"min_reward": -0.14921875,
"num_tokens": 291771.0,
"step": 180
},
{
"accuracy": 0.75,
"epoch": 0.25333333333333335,
"grad_norm": 16.98612403869629,
"learning_rate": 4.3700000000000005e-06,
"loss": 0.4962740898132324,
"margin": 0.72353515625,
"max_reward": 2.7734375,
"mean_reward": 1.643115234375,
"min_reward": 0.7041015625,
"num_tokens": 306869.0,
"step": 190
},
{
"accuracy": 0.55,
"epoch": 0.26666666666666666,
"grad_norm": 5.9575724601745605,
"learning_rate": 4.336666666666667e-06,
"loss": 0.8757614135742188,
"margin": 0.180908203125,
"max_reward": 3.7546875,
"mean_reward": 2.4668212890625,
"min_reward": 1.08994140625,
"num_tokens": 322209.0,
"step": 200
},
{
"epoch": 0.26666666666666666,
"eval_accuracy": 0.558,
"eval_loss": 0.8031588196754456,
"eval_margin": 0.211654052734375,
"eval_max_reward": 3.3186171875,
"eval_mean_reward": 2.7612215576171875,
"eval_min_reward": 2.203825927734375,
"eval_num_tokens": 322209.0,
"eval_runtime": 62.4301,
"eval_samples_per_second": 8.009,
"eval_steps_per_second": 8.009,
"step": 200
},
{
"accuracy": 0.5,
"epoch": 0.28,
"grad_norm": 20.00104331970215,
"learning_rate": 4.303333333333334e-06,
"loss": 0.742474889755249,
"margin": 0.2575439453125,
"max_reward": 3.06640625,
"mean_reward": 1.81966552734375,
"min_reward": 0.197021484375,
"num_tokens": 338225.0,
"step": 210
},
{
"accuracy": 0.5,
"epoch": 0.29333333333333333,
"grad_norm": 23.415834426879883,
"learning_rate": 4.270000000000001e-06,
"loss": 0.8180597305297852,
"margin": 0.2842529296875,
"max_reward": 4.1375,
"mean_reward": 2.89720458984375,
"min_reward": 1.491162109375,
"num_tokens": 352992.0,
"step": 220
},
{
"accuracy": 0.5,
"epoch": 0.30666666666666664,
"grad_norm": 28.938772201538086,
"learning_rate": 4.236666666666667e-06,
"loss": 0.8096456527709961,
"margin": -0.066015625,
"max_reward": 3.71875,
"mean_reward": 2.8822265625,
"min_reward": 1.9859375,
"num_tokens": 368570.0,
"step": 230
},
{
"accuracy": 0.65,
"epoch": 0.32,
"grad_norm": 19.143875122070312,
"learning_rate": 4.2033333333333335e-06,
"loss": 0.5784501552581787,
"margin": 0.43447265625,
"max_reward": 2.54921875,
"mean_reward": 1.823486328125,
"min_reward": 1.0931640625,
"num_tokens": 384794.0,
"step": 240
},
{
"accuracy": 0.6,
"epoch": 0.3333333333333333,
"grad_norm": 25.47344207763672,
"learning_rate": 4.17e-06,
"loss": 0.7684556484222412,
"margin": 0.04365234375,
"max_reward": 3.128125,
"mean_reward": 2.072509765625,
"min_reward": 1.1900390625,
"num_tokens": 401148.0,
"step": 250
},
{
"epoch": 0.3333333333333333,
"eval_accuracy": 0.572,
"eval_loss": 0.713194727897644,
"eval_margin": 0.1503466796875,
"eval_max_reward": 2.57871484375,
"eval_mean_reward": 2.22652490234375,
"eval_min_reward": 1.8743349609375,
"eval_num_tokens": 401148.0,
"eval_runtime": 62.3122,
"eval_samples_per_second": 8.024,
"eval_steps_per_second": 8.024,
"step": 250
},
{
"accuracy": 0.3,
"epoch": 0.3466666666666667,
"grad_norm": 27.635066986083984,
"learning_rate": 4.136666666666667e-06,
"loss": 0.9010297775268554,
"margin": -0.2201416015625,
"max_reward": 2.42265625,
"mean_reward": 1.72039794921875,
"min_reward": 0.801123046875,
"num_tokens": 416243.0,
"step": 260
},
{
"accuracy": 0.65,
"epoch": 0.36,
"grad_norm": 22.39845848083496,
"learning_rate": 4.1033333333333336e-06,
"loss": 0.7369675159454345,
"margin": 0.000390625,
"max_reward": 2.31796875,
"mean_reward": 1.5876953125,
"min_reward": 0.834375,
"num_tokens": 432425.0,
"step": 270
},
{
"accuracy": 0.6,
"epoch": 0.37333333333333335,
"grad_norm": 30.26738166809082,
"learning_rate": 4.07e-06,
"loss": 0.7203866004943847,
"margin": 0.00186767578125,
"max_reward": 1.509375,
"mean_reward": 1.016265869140625,
"min_reward": 0.5093994140625,
"num_tokens": 446709.0,
"step": 280
},
{
"accuracy": 0.6,
"epoch": 0.38666666666666666,
"grad_norm": 17.360742568969727,
"learning_rate": 4.036666666666667e-06,
"loss": 0.6374303817749023,
"margin": 0.159130859375,
"max_reward": 1.0638671875,
"mean_reward": 0.6469970703125,
"min_reward": 0.1876953125,
"num_tokens": 462422.0,
"step": 290
},
{
"accuracy": 0.45,
"epoch": 0.4,
"grad_norm": 24.10837173461914,
"learning_rate": 4.003333333333334e-06,
"loss": 0.7569143772125244,
"margin": 0.0091796875,
"max_reward": 1.9375,
"mean_reward": 1.299609375,
"min_reward": 0.747265625,
"num_tokens": 480306.0,
"step": 300
},
{
"epoch": 0.4,
"eval_accuracy": 0.606,
"eval_loss": 0.6851577162742615,
"eval_margin": 0.110994384765625,
"eval_max_reward": 1.68329541015625,
"eval_mean_reward": 1.4451339111328125,
"eval_min_reward": 1.206972412109375,
"eval_num_tokens": 480306.0,
"eval_runtime": 62.4657,
"eval_samples_per_second": 8.004,
"eval_steps_per_second": 8.004,
"step": 300
},
{
"accuracy": 0.65,
"epoch": 0.41333333333333333,
"grad_norm": 13.338096618652344,
"learning_rate": 3.97e-06,
"loss": 0.6534909725189209,
"margin": 0.14378662109375,
"max_reward": 1.83671875,
"mean_reward": 1.229180908203125,
"min_reward": 0.6009033203125,
"num_tokens": 495683.0,
"step": 310
},
{
"accuracy": 0.6,
"epoch": 0.4266666666666667,
"grad_norm": 14.492751121520996,
"learning_rate": 3.936666666666667e-06,
"loss": 0.6619410991668702,
"margin": 0.144091796875,
"max_reward": 2.00234375,
"mean_reward": 1.4490966796875,
"min_reward": 0.80947265625,
"num_tokens": 512780.0,
"step": 320
},
{
"accuracy": 0.6,
"epoch": 0.44,
"grad_norm": 17.708974838256836,
"learning_rate": 3.903333333333334e-06,
"loss": 0.6470551013946533,
"margin": 0.224090576171875,
"max_reward": 2.8828125,
"mean_reward": 2.1324859619140626,
"min_reward": 1.29166259765625,
"num_tokens": 529065.0,
"step": 330
},
{
"accuracy": 0.5,
"epoch": 0.4533333333333333,
"grad_norm": 18.278581619262695,
"learning_rate": 3.87e-06,
"loss": 0.6739425659179688,
"margin": 0.33515625,
"max_reward": 3.9375,
"mean_reward": 2.80546875,
"min_reward": 1.79609375,
"num_tokens": 546716.0,
"step": 340
},
{
"accuracy": 0.45,
"epoch": 0.4666666666666667,
"grad_norm": 38.923805236816406,
"learning_rate": 3.836666666666667e-06,
"loss": 0.7799544334411621,
"margin": -0.078515625,
"max_reward": 4.6078125,
"mean_reward": 3.6021484375,
"min_reward": 2.72265625,
"num_tokens": 563762.0,
"step": 350
},
{
"epoch": 0.4666666666666667,
"eval_accuracy": 0.572,
"eval_loss": 0.7251431345939636,
"eval_margin": 0.1519296875,
"eval_max_reward": 4.2361640625,
"eval_mean_reward": 3.866208984375,
"eval_min_reward": 3.49625390625,
"eval_num_tokens": 563762.0,
"eval_runtime": 62.2654,
"eval_samples_per_second": 8.03,
"eval_steps_per_second": 8.03,
"step": 350
},
{
"accuracy": 0.8,
"epoch": 0.48,
"grad_norm": 25.30300521850586,
"learning_rate": 3.803333333333334e-06,
"loss": 0.5838129043579101,
"margin": 0.34296875,
"max_reward": 4.70625,
"mean_reward": 3.857421875,
"min_reward": 3.0,
"num_tokens": 579498.0,
"step": 360
},
{
"accuracy": 0.5,
"epoch": 0.49333333333333335,
"grad_norm": 41.584007263183594,
"learning_rate": 3.7700000000000003e-06,
"loss": 0.8219932556152344,
"margin": 0.094140625,
"max_reward": 4.8875,
"mean_reward": 4.0658203125,
"min_reward": 3.16328125,
"num_tokens": 597098.0,
"step": 370
},
{
"accuracy": 0.65,
"epoch": 0.5066666666666667,
"grad_norm": 16.238313674926758,
"learning_rate": 3.7366666666666667e-06,
"loss": 0.6716785430908203,
"margin": 0.2427490234375,
"max_reward": 3.34375,
"mean_reward": 2.30460205078125,
"min_reward": 1.168408203125,
"num_tokens": 613640.0,
"step": 380
},
{
"accuracy": 0.6,
"epoch": 0.52,
"grad_norm": 25.986833572387695,
"learning_rate": 3.7033333333333336e-06,
"loss": 0.716916561126709,
"margin": 0.42451171875,
"max_reward": 2.96328125,
"mean_reward": 1.55986328125,
"min_reward": 0.221484375,
"num_tokens": 629441.0,
"step": 390
},
{
"accuracy": 0.75,
"epoch": 0.5333333333333333,
"grad_norm": 23.42198371887207,
"learning_rate": 3.6700000000000004e-06,
"loss": 0.6442339897155762,
"margin": 0.3801513671875,
"max_reward": 2.6359375,
"mean_reward": 1.87711181640625,
"min_reward": 1.043212890625,
"num_tokens": 645440.0,
"step": 400
},
{
"epoch": 0.5333333333333333,
"eval_accuracy": 0.618,
"eval_loss": 0.7101489305496216,
"eval_margin": 0.2907686767578125,
"eval_max_reward": 2.299792724609375,
"eval_mean_reward": 1.8211738891601563,
"eval_min_reward": 1.3425550537109374,
"eval_num_tokens": 645440.0,
"eval_runtime": 62.216,
"eval_samples_per_second": 8.037,
"eval_steps_per_second": 8.037,
"step": 400
},
{
"accuracy": 0.6,
"epoch": 0.5466666666666666,
"grad_norm": 20.917293548583984,
"learning_rate": 3.6366666666666673e-06,
"loss": 0.8052460670471191,
"margin": 0.2086181640625,
"max_reward": 2.9359375,
"mean_reward": 1.69215087890625,
"min_reward": 0.44091796875,
"num_tokens": 663799.0,
"step": 410
},
{
"accuracy": 0.7,
"epoch": 0.56,
"grad_norm": 16.333770751953125,
"learning_rate": 3.6033333333333337e-06,
"loss": 0.6448392868041992,
"margin": 0.210369873046875,
"max_reward": 0.69697265625,
"mean_reward": 0.0324127197265625,
"min_reward": -0.758642578125,
"num_tokens": 678669.0,
"step": 420
},
{
"accuracy": 0.55,
"epoch": 0.5733333333333334,
"grad_norm": 29.64971923828125,
"learning_rate": 3.57e-06,
"loss": 0.6741883277893066,
"margin": 0.1592041015625,
"max_reward": 0.2900146484375,
"mean_reward": -0.4987548828125,
"min_reward": -1.176171875,
"num_tokens": 694858.0,
"step": 430
},
{
"accuracy": 0.45,
"epoch": 0.5866666666666667,
"grad_norm": 26.162715911865234,
"learning_rate": 3.536666666666667e-06,
"loss": 0.7661936283111572,
"margin": -0.02214813232421875,
"max_reward": -0.0858306884765625,
"mean_reward": -0.7683937072753906,
"min_reward": -1.260546875,
"num_tokens": 710995.0,
"step": 440
},
{
"accuracy": 0.75,
"epoch": 0.6,
"grad_norm": 22.932537078857422,
"learning_rate": 3.5033333333333334e-06,
"loss": 0.6263980865478516,
"margin": 0.1980621337890625,
"max_reward": -0.37247314453125,
"mean_reward": -0.7766494750976562,
"min_reward": -1.234375,
"num_tokens": 726473.0,
"step": 450
},
{
"epoch": 0.6,
"eval_accuracy": 0.628,
"eval_loss": 0.6893447041511536,
"eval_margin": 0.17741348266601562,
"eval_max_reward": -0.00065301513671875,
"eval_mean_reward": -0.32534046936035155,
"eval_min_reward": -0.6500279235839844,
"eval_num_tokens": 726473.0,
"eval_runtime": 62.4229,
"eval_samples_per_second": 8.01,
"eval_steps_per_second": 8.01,
"step": 450
},
{
"accuracy": 0.45,
"epoch": 0.6133333333333333,
"grad_norm": 23.200468063354492,
"learning_rate": 3.4700000000000002e-06,
"loss": 0.7532081127166748,
"margin": -0.0011383056640625,
"max_reward": 0.3897216796875,
"mean_reward": -0.43083343505859373,
"min_reward": -1.10458984375,
"num_tokens": 743418.0,
"step": 460
},
{
"accuracy": 0.65,
"epoch": 0.6266666666666667,
"grad_norm": 23.413482666015625,
"learning_rate": 3.436666666666667e-06,
"loss": 0.6554159641265869,
"margin": 0.20365447998046876,
"max_reward": -0.0306304931640625,
"mean_reward": -0.6653846740722656,
"min_reward": -1.2474609375,
"num_tokens": 758877.0,
"step": 470
},
{
"accuracy": 0.45,
"epoch": 0.64,
"grad_norm": 23.571287155151367,
"learning_rate": 3.4033333333333335e-06,
"loss": 0.7563723564147949,
"margin": 0.1056365966796875,
"max_reward": 1.4620849609375,
"mean_reward": 0.06235504150390625,
"min_reward": -1.196258544921875,
"num_tokens": 775285.0,
"step": 480
},
{
"accuracy": 0.7,
"epoch": 0.6533333333333333,
"grad_norm": 12.891551971435547,
"learning_rate": 3.3700000000000003e-06,
"loss": 0.5850713729858399,
"margin": 0.73206787109375,
"max_reward": 2.0690673828125,
"mean_reward": 0.511407470703125,
"min_reward": -0.6796875,
"num_tokens": 790684.0,
"step": 490
},
{
"accuracy": 0.8,
"epoch": 0.6666666666666666,
"grad_norm": 64.09451293945312,
"learning_rate": 3.3366666666666668e-06,
"loss": 0.498201847076416,
"margin": 0.911553955078125,
"max_reward": 1.70078125,
"mean_reward": 0.3194183349609375,
"min_reward": -1.081884765625,
"num_tokens": 806487.0,
"step": 500
},
{
"epoch": 0.6666666666666666,
"eval_accuracy": 0.622,
"eval_loss": 0.7471536993980408,
"eval_margin": 0.40328579330444336,
"eval_max_reward": 0.7979255027770996,
"eval_mean_reward": 0.18772327995300292,
"eval_min_reward": -0.4224789428710938,
"eval_num_tokens": 806487.0,
"eval_runtime": 62.2921,
"eval_samples_per_second": 8.027,
"eval_steps_per_second": 8.027,
"step": 500
},
{
"accuracy": 0.65,
"epoch": 0.68,
"grad_norm": 122.53633117675781,
"learning_rate": 3.303333333333333e-06,
"loss": 0.7432568550109864,
"margin": 0.4142311096191406,
"max_reward": 0.76953125,
"mean_reward": -0.3576038360595703,
"min_reward": -1.263671875,
"num_tokens": 823462.0,
"step": 510
},
{
"accuracy": 0.75,
"epoch": 0.6933333333333334,
"grad_norm": 32.80317306518555,
"learning_rate": 3.2700000000000005e-06,
"loss": 0.41660318374633787,
"margin": 1.13740234375,
"max_reward": 2.3439453125,
"mean_reward": 0.789794921875,
"min_reward": -1.080078125,
"num_tokens": 838460.0,
"step": 520
},
{
"accuracy": 0.75,
"epoch": 0.7066666666666667,
"grad_norm": 17.606361389160156,
"learning_rate": 3.236666666666667e-06,
"loss": 0.6934970378875732,
"margin": 0.973486328125,
"max_reward": 4.0046875,
"mean_reward": 2.1105224609375,
"min_reward": -0.177734375,
"num_tokens": 854813.0,
"step": 530
},
{
"accuracy": 0.55,
"epoch": 0.72,
"grad_norm": 156.23760986328125,
"learning_rate": 3.2033333333333337e-06,
"loss": 1.1027880668640138,
"margin": 0.20673828125,
"max_reward": 5.353125,
"mean_reward": 3.049951171875,
"min_reward": 0.3279296875,
"num_tokens": 870996.0,
"step": 540
},
{
"accuracy": 0.45,
"epoch": 0.7333333333333333,
"grad_norm": 34.310646057128906,
"learning_rate": 3.17e-06,
"loss": 1.0296151161193847,
"margin": 0.0447265625,
"max_reward": 4.716796875,
"mean_reward": 2.67509765625,
"min_reward": 0.359375,
"num_tokens": 886715.0,
"step": 550
},
{
"epoch": 0.7333333333333333,
"eval_accuracy": 0.598,
"eval_loss": 0.8312986493110657,
"eval_margin": 0.4697259521484375,
"eval_max_reward": 3.234610900878906,
"eval_mean_reward": 2.4688244018554686,
"eval_min_reward": 1.7030379028320313,
"eval_num_tokens": 886715.0,
"eval_runtime": 62.3011,
"eval_samples_per_second": 8.026,
"eval_steps_per_second": 8.026,
"step": 550
},
{
"accuracy": 0.65,
"epoch": 0.7466666666666667,
"grad_norm": 2.1129918098449707,
"learning_rate": 3.1366666666666666e-06,
"loss": 0.6547252178192139,
"margin": 0.72010498046875,
"max_reward": 3.6328125,
"mean_reward": 1.748907470703125,
"min_reward": -0.1922607421875,
"num_tokens": 901702.0,
"step": 560
},
{
"accuracy": 0.55,
"epoch": 0.76,
"grad_norm": 19.6908016204834,
"learning_rate": 3.103333333333334e-06,
"loss": 0.6725973129272461,
"margin": 0.536669921875,
"max_reward": 0.89931640625,
"mean_reward": -0.4901123046875,
"min_reward": -1.93125,
"num_tokens": 919528.0,
"step": 570
},
{
"accuracy": 0.5,
"epoch": 0.7733333333333333,
"grad_norm": 56.94779586791992,
"learning_rate": 3.0700000000000003e-06,
"loss": 0.6944450378417969,
"margin": 0.448974609375,
"max_reward": 0.27529296875,
"mean_reward": -1.3425048828125,
"min_reward": -2.58046875,
"num_tokens": 936620.0,
"step": 580
},
{
"accuracy": 0.85,
"epoch": 0.7866666666666666,
"grad_norm": 95.96953582763672,
"learning_rate": 3.0366666666666667e-06,
"loss": 0.3615936040878296,
"margin": 1.50234375,
"max_reward": 1.0953125,
"mean_reward": -1.33935546875,
"min_reward": -3.105078125,
"num_tokens": 953455.0,
"step": 590
},
{
"accuracy": 0.7,
"epoch": 0.8,
"grad_norm": 88.94745635986328,
"learning_rate": 3.0033333333333335e-06,
"loss": 0.9391720771789551,
"margin": 1.326025390625,
"max_reward": 5.046875,
"mean_reward": 2.1633544921875,
"min_reward": -1.42548828125,
"num_tokens": 968502.0,
"step": 600
},
{
"epoch": 0.8,
"eval_accuracy": 0.598,
"eval_loss": 1.15407395362854,
"eval_margin": 0.8387359619140625,
"eval_max_reward": 3.26913037109375,
"eval_mean_reward": 1.9263014526367188,
"eval_min_reward": 0.5834725341796875,
"eval_num_tokens": 968502.0,
"eval_runtime": 62.2605,
"eval_samples_per_second": 8.031,
"eval_steps_per_second": 8.031,
"step": 600
},
{
"accuracy": 0.5,
"epoch": 0.8133333333333334,
"grad_norm": 32.30426025390625,
"learning_rate": 2.97e-06,
"loss": 1.0049471855163574,
"margin": 0.078076171875,
"max_reward": 4.67255859375,
"mean_reward": 1.0933349609375,
"min_reward": -2.70625,
"num_tokens": 985736.0,
"step": 610
},
{
"accuracy": 0.7,
"epoch": 0.8266666666666667,
"grad_norm": 51.47792434692383,
"learning_rate": 2.936666666666667e-06,
"loss": 0.7427908420562744,
"margin": 0.39453125,
"max_reward": 5.634375,
"mean_reward": 4.305078125,
"min_reward": 2.32734375,
"num_tokens": 1002008.0,
"step": 620
},
{
"accuracy": 0.5,
"epoch": 0.84,
"grad_norm": 23.034889221191406,
"learning_rate": 2.9033333333333336e-06,
"loss": 0.8153639793395996,
"margin": -0.12333984375,
"max_reward": 5.821875,
"mean_reward": 4.691064453125,
"min_reward": 3.4435546875,
"num_tokens": 1019028.0,
"step": 630
},
{
"accuracy": 0.35,
"epoch": 0.8533333333333334,
"grad_norm": 161.87069702148438,
"learning_rate": 2.87e-06,
"loss": 0.8048789978027344,
"margin": -0.009716796875,
"max_reward": 5.628125,
"mean_reward": 4.9048583984375,
"min_reward": 3.97490234375,
"num_tokens": 1033366.0,
"step": 640
},
{
"accuracy": 0.55,
"epoch": 0.8666666666666667,
"grad_norm": 15.923206329345703,
"learning_rate": 2.836666666666667e-06,
"loss": 0.7137910842895507,
"margin": 0.00390625,
"max_reward": 5.36875,
"mean_reward": 4.934765625,
"min_reward": 4.5046875,
"num_tokens": 1050252.0,
"step": 650
},
{
"epoch": 0.8666666666666667,
"eval_accuracy": 0.526,
"eval_loss": 0.7010688185691833,
"eval_margin": 0.0384140625,
"eval_max_reward": 5.014875,
"eval_mean_reward": 4.85937109375,
"eval_min_reward": 4.7038671875,
"eval_num_tokens": 1050252.0,
"eval_runtime": 62.339,
"eval_samples_per_second": 8.021,
"eval_steps_per_second": 8.021,
"step": 650
},
{
"accuracy": 0.6,
"epoch": 0.88,
"grad_norm": 15.554156303405762,
"learning_rate": 2.8033333333333333e-06,
"loss": 0.65819411277771,
"margin": 0.16484375,
"max_reward": 5.25,
"mean_reward": 4.766015625,
"min_reward": 4.1578125,
"num_tokens": 1068961.0,
"step": 660
},
{
"accuracy": 0.55,
"epoch": 0.8933333333333333,
"grad_norm": 14.689868927001953,
"learning_rate": 2.7700000000000006e-06,
"loss": 0.68900465965271,
"margin": 0.12265625,
"max_reward": 4.746875,
"mean_reward": 4.285546875,
"min_reward": 3.6515625,
"num_tokens": 1084178.0,
"step": 670
},
{
"accuracy": 0.65,
"epoch": 0.9066666666666666,
"grad_norm": 30.876516342163086,
"learning_rate": 2.736666666666667e-06,
"loss": 0.6992377281188965,
"margin": 0.0375,
"max_reward": 4.3859375,
"mean_reward": 4.02265625,
"min_reward": 3.6703125,
"num_tokens": 1100910.0,
"step": 680
},
{
"accuracy": 0.65,
"epoch": 0.92,
"grad_norm": 24.66133689880371,
"learning_rate": 2.7033333333333334e-06,
"loss": 0.6626120567321777,
"margin": 0.20625,
"max_reward": 4.084375,
"mean_reward": 3.6171875,
"min_reward": 2.8875,
"num_tokens": 1116440.0,
"step": 690
},
{
"accuracy": 0.45,
"epoch": 0.9333333333333333,
"grad_norm": 15.120383262634277,
"learning_rate": 2.6700000000000003e-06,
"loss": 0.696980619430542,
"margin": 0.13203125,
"max_reward": 4.3109375,
"mean_reward": 3.649609375,
"min_reward": 3.0734375,
"num_tokens": 1132429.0,
"step": 700
},
{
"epoch": 0.9333333333333333,
"eval_accuracy": 0.582,
"eval_loss": 0.7070507407188416,
"eval_margin": 0.0835546875,
"eval_max_reward": 3.954890625,
"eval_mean_reward": 3.70844921875,
"eval_min_reward": 3.4620078125,
"eval_num_tokens": 1132429.0,
"eval_runtime": 62.4281,
"eval_samples_per_second": 8.009,
"eval_steps_per_second": 8.009,
"step": 700
},
{
"accuracy": 0.55,
"epoch": 0.9466666666666667,
"grad_norm": 14.82724380493164,
"learning_rate": 2.6366666666666667e-06,
"loss": 0.6956966400146485,
"margin": 0.065625,
"max_reward": 4.340625,
"mean_reward": 3.9,
"min_reward": 3.3796875,
"num_tokens": 1148620.0,
"step": 710
},
{
"accuracy": 0.35,
"epoch": 0.96,
"grad_norm": 28.879314422607422,
"learning_rate": 2.603333333333334e-06,
"loss": 0.7410328388214111,
"margin": -0.046875,
"max_reward": 4.2875,
"mean_reward": 3.8375,
"min_reward": 3.3515625,
"num_tokens": 1164601.0,
"step": 720
},
{
"accuracy": 0.65,
"epoch": 0.9733333333333334,
"grad_norm": 17.8446044921875,
"learning_rate": 2.5700000000000004e-06,
"loss": 0.6587936878204346,
"margin": 0.2615234375,
"max_reward": 4.5078125,
"mean_reward": 3.79892578125,
"min_reward": 3.089453125,
"num_tokens": 1179554.0,
"step": 730
},
{
"accuracy": 0.55,
"epoch": 0.9866666666666667,
"grad_norm": 16.74919891357422,
"learning_rate": 2.536666666666667e-06,
"loss": 0.9084688186645508,
"margin": -0.1103515625,
"max_reward": 3.65,
"mean_reward": 2.99423828125,
"min_reward": 1.926953125,
"num_tokens": 1195986.0,
"step": 740
},
{
"accuracy": 0.6,
"epoch": 1.0,
"grad_norm": 20.36426544189453,
"learning_rate": 2.5033333333333336e-06,
"loss": 0.6503221035003662,
"margin": 0.196875,
"max_reward": 3.8296875,
"mean_reward": 3.22890625,
"min_reward": 2.6796875,
"num_tokens": 1212807.0,
"step": 750
},
{
"epoch": 1.0,
"eval_accuracy": 0.574,
"eval_loss": 0.724712073802948,
"eval_margin": 0.1419578857421875,
"eval_max_reward": 3.170109375,
"eval_mean_reward": 2.827115661621094,
"eval_min_reward": 2.4841219482421875,
"eval_num_tokens": 1212807.0,
"eval_runtime": 62.4609,
"eval_samples_per_second": 8.005,
"eval_steps_per_second": 8.005,
"step": 750
},
{
"accuracy": 0.8,
"epoch": 1.0133333333333334,
"grad_norm": 25.44012451171875,
"learning_rate": 2.47e-06,
"loss": 0.5082518577575683,
"margin": 0.634228515625,
"max_reward": 3.65,
"mean_reward": 2.5745849609375,
"min_reward": 1.33837890625,
"num_tokens": 1230748.0,
"step": 760
},
{
"accuracy": 0.6,
"epoch": 1.0266666666666666,
"grad_norm": 18.013717651367188,
"learning_rate": 2.436666666666667e-06,
"loss": 0.5603197574615478,
"margin": 0.5654541015625,
"max_reward": 3.029833984375,
"mean_reward": 1.75579833984375,
"min_reward": 0.37646484375,
"num_tokens": 1245628.0,
"step": 770
},
{
"accuracy": 0.55,
"epoch": 1.04,
"grad_norm": 99.6661148071289,
"learning_rate": 2.4033333333333338e-06,
"loss": 0.8869245529174805,
"margin": 0.205218505859375,
"max_reward": 2.080810546875,
"mean_reward": -0.0414886474609375,
"min_reward": -2.2107421875,
"num_tokens": 1262533.0,
"step": 780
},
{
"accuracy": 0.7,
"epoch": 1.0533333333333332,
"grad_norm": 53.62653732299805,
"learning_rate": 2.37e-06,
"loss": 0.5512317657470703,
"margin": 1.0128662109375,
"max_reward": 1.4505859375,
"mean_reward": -0.33284912109375,
"min_reward": -2.0107421875,
"num_tokens": 1277096.0,
"step": 790
},
{
"accuracy": 0.7,
"epoch": 1.0666666666666667,
"grad_norm": 95.58021545410156,
"learning_rate": 2.3366666666666666e-06,
"loss": 0.6172554016113281,
"margin": 1.2177459716796875,
"max_reward": 1.304345703125,
"mean_reward": -1.1034286499023438,
"min_reward": -3.26953125,
"num_tokens": 1293073.0,
"step": 800
},
{
"epoch": 1.0666666666666667,
"eval_accuracy": 0.596,
"eval_loss": 0.8903509378433228,
"eval_margin": 0.564534423828125,
"eval_max_reward": -0.50098583984375,
"eval_mean_reward": -1.4187645263671875,
"eval_min_reward": -2.336543212890625,
"eval_num_tokens": 1293073.0,
"eval_runtime": 62.3781,
"eval_samples_per_second": 8.016,
"eval_steps_per_second": 8.016,
"step": 800
},
{
"accuracy": 0.65,
"epoch": 1.08,
"grad_norm": 34.59308624267578,
"learning_rate": 2.3033333333333334e-06,
"loss": 0.7249170303344726,
"margin": 0.968017578125,
"max_reward": 0.56064453125,
"mean_reward": -1.4824951171875,
"min_reward": -3.8390625,
"num_tokens": 1308687.0,
"step": 810
},
{
"accuracy": 0.8,
"epoch": 1.0933333333333333,
"grad_norm": 30.92959976196289,
"learning_rate": 2.2700000000000003e-06,
"loss": 0.39841785430908205,
"margin": 1.375030517578125,
"max_reward": 1.658984375,
"mean_reward": -0.6310943603515625,
"min_reward": -3.046484375,
"num_tokens": 1324618.0,
"step": 820
},
{
"accuracy": 0.7,
"epoch": 1.1066666666666667,
"grad_norm": 208.02574157714844,
"learning_rate": 2.236666666666667e-06,
"loss": 0.8557153701782226,
"margin": 1.5063720703125,
"max_reward": 1.581640625,
"mean_reward": -0.71844482421875,
"min_reward": -3.421484375,
"num_tokens": 1339988.0,
"step": 830
},
{
"accuracy": 0.75,
"epoch": 1.12,
"grad_norm": 279.54534912109375,
"learning_rate": 2.2033333333333336e-06,
"loss": 0.7527968406677246,
"margin": 2.487060546875,
"max_reward": 1.5951171875,
"mean_reward": -2.3231201171875,
"min_reward": -5.828125,
"num_tokens": 1356112.0,
"step": 840
},
{
"accuracy": 0.7,
"epoch": 1.1333333333333333,
"grad_norm": 35.76692581176758,
"learning_rate": 2.17e-06,
"loss": 0.8942340850830078,
"margin": 1.6185546875,
"max_reward": 0.787890625,
"mean_reward": -1.966064453125,
"min_reward": -5.40625,
"num_tokens": 1372383.0,
"step": 850
},
{
"epoch": 1.1333333333333333,
"eval_accuracy": 0.596,
"eval_loss": 1.0435729026794434,
"eval_margin": 0.8098057250976562,
"eval_max_reward": 0.7392849731445312,
"eval_mean_reward": -0.5019579772949219,
"eval_min_reward": -1.743200927734375,
"eval_num_tokens": 1372383.0,
"eval_runtime": 62.4519,
"eval_samples_per_second": 8.006,
"eval_steps_per_second": 8.006,
"step": 850
},
{
"accuracy": 0.8,
"epoch": 1.1466666666666667,
"grad_norm": 18.71978759765625,
"learning_rate": 2.136666666666667e-06,
"loss": 0.6701197147369384,
"margin": 1.843017578125,
"max_reward": 3.765625,
"mean_reward": 0.3057373046875,
"min_reward": -3.39443359375,
"num_tokens": 1388575.0,
"step": 860
},
{
"accuracy": 0.7,
"epoch": 1.16,
"grad_norm": 150.29055786132812,
"learning_rate": 2.1033333333333337e-06,
"loss": 0.6811777114868164,
"margin": 1.3685546875,
"max_reward": 2.4873046875,
"mean_reward": 0.19677734375,
"min_reward": -2.523046875,
"num_tokens": 1403606.0,
"step": 870
},
{
"accuracy": 0.75,
"epoch": 1.1733333333333333,
"grad_norm": 187.19081115722656,
"learning_rate": 2.07e-06,
"loss": 0.8808813095092773,
"margin": 1.917291259765625,
"max_reward": 4.8203125,
"mean_reward": 2.1001434326171875,
"min_reward": -1.4076171875,
"num_tokens": 1418488.0,
"step": 880
},
{
"accuracy": 0.8,
"epoch": 1.1866666666666668,
"grad_norm": 44.864192962646484,
"learning_rate": 2.036666666666667e-06,
"loss": 0.558538818359375,
"margin": 2.50665283203125,
"max_reward": 4.6734375,
"mean_reward": 1.906243896484375,
"min_reward": -2.1400634765625,
"num_tokens": 1433529.0,
"step": 890
},
{
"accuracy": 0.8,
"epoch": 1.2,
"grad_norm": 46.679744720458984,
"learning_rate": 2.0033333333333334e-06,
"loss": 0.7218273639678955,
"margin": 2.88583984375,
"max_reward": 3.57421875,
"mean_reward": -0.101611328125,
"min_reward": -4.85234375,
"num_tokens": 1450110.0,
"step": 900
},
{
"epoch": 1.2,
"eval_accuracy": 0.608,
"eval_loss": 1.363513708114624,
"eval_margin": 1.084634536743164,
"eval_max_reward": 3.07980419921875,
"eval_mean_reward": 1.359497184753418,
"eval_min_reward": -0.36080982971191405,
"eval_num_tokens": 1450110.0,
"eval_runtime": 62.4495,
"eval_samples_per_second": 8.006,
"eval_steps_per_second": 8.006,
"step": 900
},
{
"accuracy": 0.6,
"epoch": 1.2133333333333334,
"grad_norm": 190.0553741455078,
"learning_rate": 1.97e-06,
"loss": 0.7698217391967773,
"margin": 1.106640625,
"max_reward": 5.125,
"mean_reward": 1.506640625,
"min_reward": -2.765625,
"num_tokens": 1466027.0,
"step": 910
},
{
"accuracy": 0.6,
"epoch": 1.2266666666666666,
"grad_norm": 234.94076538085938,
"learning_rate": 1.9366666666666666e-06,
"loss": 1.6000349044799804,
"margin": 1.884661865234375,
"max_reward": 1.996875,
"mean_reward": -2.3544403076171876,
"min_reward": -8.725,
"num_tokens": 1481748.0,
"step": 920
},
{
"accuracy": 0.55,
"epoch": 1.24,
"grad_norm": 65.35015869140625,
"learning_rate": 1.9033333333333335e-06,
"loss": 1.3991120338439942,
"margin": 1.012890625,
"max_reward": -1.74296875,
"mean_reward": -5.5919921875,
"min_reward": -9.453125,
"num_tokens": 1498020.0,
"step": 930
},
{
"accuracy": 0.75,
"epoch": 1.2533333333333334,
"grad_norm": 57.545166015625,
"learning_rate": 1.87e-06,
"loss": 0.49834294319152833,
"margin": 2.0171875,
"max_reward": -3.440625,
"mean_reward": -6.62265625,
"min_reward": -9.015625,
"num_tokens": 1514583.0,
"step": 940
},
{
"accuracy": 0.85,
"epoch": 1.2666666666666666,
"grad_norm": 144.95867919921875,
"learning_rate": 1.836666666666667e-06,
"loss": 0.5361029624938964,
"margin": 3.177197265625,
"max_reward": 0.4771484375,
"mean_reward": -3.9238525390625,
"min_reward": -8.1375,
"num_tokens": 1530955.0,
"step": 950
},
{
"epoch": 1.2666666666666666,
"eval_accuracy": 0.596,
"eval_loss": 1.3600239753723145,
"eval_margin": 1.1310927734375,
"eval_max_reward": -1.742294677734375,
"eval_mean_reward": -3.521328125,
"eval_min_reward": -5.300361572265625,
"eval_num_tokens": 1530955.0,
"eval_runtime": 62.6012,
"eval_samples_per_second": 7.987,
"eval_steps_per_second": 7.987,
"step": 950
},
{
"accuracy": 0.5,
"epoch": 1.28,
"grad_norm": 319.9293518066406,
"learning_rate": 1.8033333333333336e-06,
"loss": 1.7453046798706056,
"margin": 0.3447265625,
"max_reward": 1.01591796875,
"mean_reward": -3.259765625,
"min_reward": -7.2578125,
"num_tokens": 1548332.0,
"step": 960
},
{
"accuracy": 0.65,
"epoch": 1.2933333333333334,
"grad_norm": 33.143341064453125,
"learning_rate": 1.77e-06,
"loss": 0.7040543556213379,
"margin": 2.181396484375,
"max_reward": -0.30205078125,
"mean_reward": -3.7452392578125,
"min_reward": -6.275,
"num_tokens": 1564625.0,
"step": 970
},
{
"accuracy": 0.75,
"epoch": 1.3066666666666666,
"grad_norm": 31.115459442138672,
"learning_rate": 1.7366666666666668e-06,
"loss": 0.4173430919647217,
"margin": 2.164306640625,
"max_reward": 2.28095703125,
"mean_reward": -0.9407470703125,
"min_reward": -4.04375,
"num_tokens": 1580000.0,
"step": 980
},
{
"accuracy": 0.8,
"epoch": 1.32,
"grad_norm": 168.20628356933594,
"learning_rate": 1.7033333333333335e-06,
"loss": 0.5366679191589355,
"margin": 3.0508544921875,
"max_reward": 2.8671875,
"mean_reward": -1.78248291015625,
"min_reward": -5.2830078125,
"num_tokens": 1597302.0,
"step": 990
},
{
"accuracy": 0.45,
"epoch": 1.3333333333333333,
"grad_norm": 18.123050689697266,
"learning_rate": 1.6700000000000003e-06,
"loss": 1.1453736305236817,
"margin": 0.8822265625,
"max_reward": 4.8984375,
"mean_reward": 2.26845703125,
"min_reward": -0.678515625,
"num_tokens": 1613437.0,
"step": 1000
},
{
"epoch": 1.3333333333333333,
"eval_accuracy": 0.586,
"eval_loss": 1.1093744039535522,
"eval_margin": 0.682355224609375,
"eval_max_reward": 3.630033935546875,
"eval_mean_reward": 2.4088892822265624,
"eval_min_reward": 1.18774462890625,
"eval_num_tokens": 1613437.0,
"eval_runtime": 62.4977,
"eval_samples_per_second": 8.0,
"eval_steps_per_second": 8.0,
"step": 1000
},
{
"accuracy": 0.75,
"epoch": 1.3466666666666667,
"grad_norm": 35.67937088012695,
"learning_rate": 1.6366666666666667e-06,
"loss": 0.675491189956665,
"margin": 0.5638671875,
"max_reward": 4.290625,
"mean_reward": 2.44892578125,
"min_reward": 0.67578125,
"num_tokens": 1629455.0,
"step": 1010
},
{
"accuracy": 0.7,
"epoch": 1.3599999999999999,
"grad_norm": 40.7118034362793,
"learning_rate": 1.6033333333333334e-06,
"loss": 0.42725315093994143,
"margin": 1.8513671875,
"max_reward": 4.996875,
"mean_reward": 3.25732421875,
"min_reward": 0.50625,
"num_tokens": 1644785.0,
"step": 1020
},
{
"accuracy": 0.8,
"epoch": 1.3733333333333333,
"grad_norm": 136.8484344482422,
"learning_rate": 1.5700000000000002e-06,
"loss": 0.6001864433288574,
"margin": 3.10028076171875,
"max_reward": 4.1550537109375,
"mean_reward": 0.757366943359375,
"min_reward": -3.25009765625,
"num_tokens": 1661544.0,
"step": 1030
},
{
"accuracy": 0.75,
"epoch": 1.3866666666666667,
"grad_norm": 0.3609694242477417,
"learning_rate": 1.5366666666666668e-06,
"loss": 0.9377962112426758,
"margin": 1.72666015625,
"max_reward": 3.7875,
"mean_reward": 1.237353515625,
"min_reward": -2.774609375,
"num_tokens": 1677000.0,
"step": 1040
},
{
"accuracy": 0.7,
"epoch": 1.4,
"grad_norm": 16.80458641052246,
"learning_rate": 1.5033333333333337e-06,
"loss": 0.7020199298858643,
"margin": 1.91923828125,
"max_reward": 3.17734375,
"mean_reward": 0.354052734375,
"min_reward": -3.8123046875,
"num_tokens": 1691904.0,
"step": 1050
},
{
"epoch": 1.4,
"eval_accuracy": 0.606,
"eval_loss": 1.3567456007003784,
"eval_margin": 1.0848167724609374,
"eval_max_reward": 1.356125732421875,
"eval_mean_reward": -0.37665606689453124,
"eval_min_reward": -2.1094378662109374,
"eval_num_tokens": 1691904.0,
"eval_runtime": 62.3936,
"eval_samples_per_second": 8.014,
"eval_steps_per_second": 8.014,
"step": 1050
},
{
"accuracy": 0.55,
"epoch": 1.4133333333333333,
"grad_norm": 117.69019317626953,
"learning_rate": 1.4700000000000001e-06,
"loss": 1.212506103515625,
"margin": 1.3871475219726563,
"max_reward": 2.3145721435546873,
"mean_reward": -3.046747589111328,
"min_reward": -6.746875,
"num_tokens": 1708299.0,
"step": 1060
},
{
"accuracy": 0.6,
"epoch": 1.4266666666666667,
"grad_norm": 100.34335327148438,
"learning_rate": 1.4366666666666667e-06,
"loss": 0.9856803894042969,
"margin": 1.3234375,
"max_reward": 1.334375,
"mean_reward": -2.6033203125,
"min_reward": -6.49765625,
"num_tokens": 1725007.0,
"step": 1070
},
{
"accuracy": 0.7,
"epoch": 1.44,
"grad_norm": 185.3729248046875,
"learning_rate": 1.4033333333333336e-06,
"loss": 1.1272445678710938,
"margin": 2.0210784912109374,
"max_reward": 3.303125,
"mean_reward": -0.05469512939453125,
"min_reward": -3.634649658203125,
"num_tokens": 1740533.0,
"step": 1080
},
{
"accuracy": 0.6,
"epoch": 1.4533333333333334,
"grad_norm": 161.89877319335938,
"learning_rate": 1.3700000000000002e-06,
"loss": 1.4939114570617675,
"margin": 0.5677734375,
"max_reward": 1.749609375,
"mean_reward": -2.25419921875,
"min_reward": -6.180859375,
"num_tokens": 1757099.0,
"step": 1090
},
{
"accuracy": 0.75,
"epoch": 1.4666666666666668,
"grad_norm": 119.40484619140625,
"learning_rate": 1.3366666666666666e-06,
"loss": 0.8826108932495117,
"margin": 1.85439453125,
"max_reward": 2.553125,
"mean_reward": -0.852197265625,
"min_reward": -4.6171875,
"num_tokens": 1775146.0,
"step": 1100
},
{
"epoch": 1.4666666666666668,
"eval_accuracy": 0.604,
"eval_loss": 0.9978691339492798,
"eval_margin": 0.7300045776367188,
"eval_max_reward": 0.6507423095703125,
"eval_mean_reward": -0.4976886901855469,
"eval_min_reward": -1.6461196899414063,
"eval_num_tokens": 1775146.0,
"eval_runtime": 62.4188,
"eval_samples_per_second": 8.01,
"eval_steps_per_second": 8.01,
"step": 1100
},
{
"accuracy": 0.65,
"epoch": 1.48,
"grad_norm": 109.5771713256836,
"learning_rate": 1.3033333333333335e-06,
"loss": 0.9664765357971191,
"margin": 0.737762451171875,
"max_reward": 1.653662109375,
"mean_reward": -0.5663665771484375,
"min_reward": -3.6734375,
"num_tokens": 1793063.0,
"step": 1110
},
{
"accuracy": 0.7,
"epoch": 1.4933333333333334,
"grad_norm": 83.6311264038086,
"learning_rate": 1.2700000000000001e-06,
"loss": 0.6062012672424316,
"margin": 2.137274169921875,
"max_reward": 1.9431640625,
"mean_reward": -1.1080963134765625,
"min_reward": -4.4921875,
"num_tokens": 1808403.0,
"step": 1120
},
{
"accuracy": 0.75,
"epoch": 1.5066666666666668,
"grad_norm": 60.31748962402344,
"learning_rate": 1.2366666666666668e-06,
"loss": 0.7049060821533203,
"margin": 1.48701171875,
"max_reward": 2.08974609375,
"mean_reward": -0.200439453125,
"min_reward": -2.463671875,
"num_tokens": 1824621.0,
"step": 1130
},
{
"accuracy": 0.55,
"epoch": 1.52,
"grad_norm": 149.60330200195312,
"learning_rate": 1.2033333333333334e-06,
"loss": 1.1337081909179687,
"margin": 0.48056640625,
"max_reward": 1.880859375,
"mean_reward": -0.384716796875,
"min_reward": -2.83515625,
"num_tokens": 1840744.0,
"step": 1140
},
{
"accuracy": 0.7,
"epoch": 1.5333333333333332,
"grad_norm": 41.09004592895508,
"learning_rate": 1.1700000000000002e-06,
"loss": 0.6269871711730957,
"margin": 1.2066650390625,
"max_reward": 2.41328125,
"mean_reward": 0.39190673828125,
"min_reward": -1.7814453125,
"num_tokens": 1855354.0,
"step": 1150
},
{
"epoch": 1.5333333333333332,
"eval_accuracy": 0.586,
"eval_loss": 0.9035583138465881,
"eval_margin": 0.5397208251953125,
"eval_max_reward": 1.6990680236816407,
"eval_mean_reward": 0.7785431518554687,
"eval_min_reward": -0.14198171997070314,
"eval_num_tokens": 1855354.0,
"eval_runtime": 62.4733,
"eval_samples_per_second": 8.003,
"eval_steps_per_second": 8.003,
"step": 1150
},
{
"accuracy": 0.85,
"epoch": 1.5466666666666666,
"grad_norm": 6.0896782875061035,
"learning_rate": 1.1366666666666667e-06,
"loss": 0.5843002796173096,
"margin": 1.83350830078125,
"max_reward": 2.8265625,
"mean_reward": 0.397064208984375,
"min_reward": -2.0440673828125,
"num_tokens": 1871860.0,
"step": 1160
},
{
"accuracy": 0.75,
"epoch": 1.56,
"grad_norm": 102.23207092285156,
"learning_rate": 1.1033333333333335e-06,
"loss": 0.5763196468353271,
"margin": 1.4167724609375,
"max_reward": 3.4875,
"mean_reward": 1.43270263671875,
"min_reward": -1.278466796875,
"num_tokens": 1888601.0,
"step": 1170
},
{
"accuracy": 0.6,
"epoch": 1.5733333333333333,
"grad_norm": 109.7595443725586,
"learning_rate": 1.0700000000000001e-06,
"loss": 0.9253439903259277,
"margin": 0.2265625,
"max_reward": 2.1390625,
"mean_reward": 0.3791015625,
"min_reward": -1.2005859375,
"num_tokens": 1905756.0,
"step": 1180
},
{
"accuracy": 0.7,
"epoch": 1.5866666666666667,
"grad_norm": 27.03172492980957,
"learning_rate": 1.0366666666666668e-06,
"loss": 0.6028451919555664,
"margin": 1.306298828125,
"max_reward": 2.61015625,
"mean_reward": 0.2985595703125,
"min_reward": -1.97734375,
"num_tokens": 1922025.0,
"step": 1190
},
{
"accuracy": 0.75,
"epoch": 1.6,
"grad_norm": 91.80132293701172,
"learning_rate": 1.0033333333333334e-06,
"loss": 0.6056195735931397,
"margin": 1.401220703125,
"max_reward": 2.41943359375,
"mean_reward": -0.0202880859375,
"min_reward": -2.3765625,
"num_tokens": 1938931.0,
"step": 1200
},
{
"epoch": 1.6,
"eval_accuracy": 0.602,
"eval_loss": 1.04457688331604,
"eval_margin": 0.740804443359375,
"eval_max_reward": 1.606439208984375,
"eval_mean_reward": 0.3948948974609375,
"eval_min_reward": -0.8166494140625,
"eval_num_tokens": 1938931.0,
"eval_runtime": 62.3655,
"eval_samples_per_second": 8.017,
"eval_steps_per_second": 8.017,
"step": 1200
},
{
"accuracy": 0.75,
"epoch": 1.6133333333333333,
"grad_norm": 0.7046879529953003,
"learning_rate": 9.7e-07,
"loss": 1.0164477348327636,
"margin": 1.867919921875,
"max_reward": 3.298828125,
"mean_reward": 0.1361083984375,
"min_reward": -3.41015625,
"num_tokens": 1955127.0,
"step": 1210
},
{
"accuracy": 0.65,
"epoch": 1.6266666666666667,
"grad_norm": 25.504459381103516,
"learning_rate": 9.366666666666667e-07,
"loss": 0.8065451622009278,
"margin": 1.255029296875,
"max_reward": 2.398828125,
"mean_reward": -0.2284912109375,
"min_reward": -3.13154296875,
"num_tokens": 1972318.0,
"step": 1220
},
{
"accuracy": 0.65,
"epoch": 1.6400000000000001,
"grad_norm": 87.41260528564453,
"learning_rate": 9.033333333333334e-07,
"loss": 1.119236946105957,
"margin": 0.7582611083984375,
"max_reward": 2.4771484375,
"mean_reward": -0.6033004760742188,
"min_reward": -3.24765625,
"num_tokens": 1987620.0,
"step": 1230
},
{
"accuracy": 0.65,
"epoch": 1.6533333333333333,
"grad_norm": 94.04547119140625,
"learning_rate": 8.7e-07,
"loss": 0.6439452171325684,
"margin": 1.82333984375,
"max_reward": 2.728125,
"mean_reward": 0.210400390625,
"min_reward": -2.7384765625,
"num_tokens": 2004302.0,
"step": 1240
},
{
"accuracy": 0.65,
"epoch": 1.6666666666666665,
"grad_norm": 85.90032958984375,
"learning_rate": 8.366666666666668e-07,
"loss": 0.5457091331481934,
"margin": 1.3715576171875,
"max_reward": 2.209033203125,
"mean_reward": -0.44652099609375,
"min_reward": -2.5546875,
"num_tokens": 2021262.0,
"step": 1250
},
{
"epoch": 1.6666666666666665,
"eval_accuracy": 0.612,
"eval_loss": 1.0178015232086182,
"eval_margin": 0.7143900146484375,
"eval_max_reward": 1.167669921875,
"eval_mean_reward": 0.00498980712890625,
"eval_min_reward": -1.1576903076171876,
"eval_num_tokens": 2021262.0,
"eval_runtime": 62.4994,
"eval_samples_per_second": 8.0,
"eval_steps_per_second": 8.0,
"step": 1250
},
{
"accuracy": 0.85,
"epoch": 1.6800000000000002,
"grad_norm": 57.4267578125,
"learning_rate": 8.033333333333335e-07,
"loss": 0.5381040573120117,
"margin": 1.5513671875,
"max_reward": 2.2685546875,
"mean_reward": -0.218896484375,
"min_reward": -2.88603515625,
"num_tokens": 2037311.0,
"step": 1260
},
{
"accuracy": 0.65,
"epoch": 1.6933333333333334,
"grad_norm": 20.574970245361328,
"learning_rate": 7.7e-07,
"loss": 0.8994636535644531,
"margin": 1.5009521484375,
"max_reward": 2.207861328125,
"mean_reward": -0.48370361328125,
"min_reward": -2.67890625,
"num_tokens": 2053587.0,
"step": 1270
},
{
"accuracy": 0.5,
"epoch": 1.7066666666666666,
"grad_norm": 25.6247501373291,
"learning_rate": 7.366666666666668e-07,
"loss": 1.4920889854431152,
"margin": 0.5493316650390625,
"max_reward": 2.29677734375,
"mean_reward": -0.34183807373046876,
"min_reward": -3.459832763671875,
"num_tokens": 2069715.0,
"step": 1280
},
{
"accuracy": 0.65,
"epoch": 1.72,
"grad_norm": 28.003578186035156,
"learning_rate": 7.033333333333334e-07,
"loss": 1.0490900039672852,
"margin": 1.029248046875,
"max_reward": 2.55390625,
"mean_reward": -0.0261474609375,
"min_reward": -2.5232421875,
"num_tokens": 2083729.0,
"step": 1290
},
{
"accuracy": 0.6,
"epoch": 1.7333333333333334,
"grad_norm": 100.13626098632812,
"learning_rate": 6.7e-07,
"loss": 0.8861888885498047,
"margin": 0.58553466796875,
"max_reward": 1.53046875,
"mean_reward": -0.445611572265625,
"min_reward": -2.4734375,
"num_tokens": 2099948.0,
"step": 1300
},
{
"epoch": 1.7333333333333334,
"eval_accuracy": 0.606,
"eval_loss": 1.0033907890319824,
"eval_margin": 0.7165312805175781,
"eval_max_reward": 1.2282371826171874,
"eval_mean_reward": 0.07899192810058593,
"eval_min_reward": -1.0702533264160157,
"eval_num_tokens": 2099948.0,
"eval_runtime": 62.3657,
"eval_samples_per_second": 8.017,
"eval_steps_per_second": 8.017,
"step": 1300
},
{
"accuracy": 0.7,
"epoch": 1.7466666666666666,
"grad_norm": 144.0567626953125,
"learning_rate": 6.366666666666667e-07,
"loss": 0.5809046268463135,
"margin": 1.460107421875,
"max_reward": 1.62353515625,
"mean_reward": -0.3951416015625,
"min_reward": -2.947265625,
"num_tokens": 2115789.0,
"step": 1310
},
{
"accuracy": 0.7,
"epoch": 1.76,
"grad_norm": 49.05362319946289,
"learning_rate": 6.033333333333334e-07,
"loss": 0.87122802734375,
"margin": 1.10679931640625,
"max_reward": 2.268359375,
"mean_reward": -0.050628662109375,
"min_reward": -2.1308349609375,
"num_tokens": 2133528.0,
"step": 1320
},
{
"accuracy": 0.65,
"epoch": 1.7733333333333334,
"grad_norm": 98.22369384765625,
"learning_rate": 5.7e-07,
"loss": 0.6749707221984863,
"margin": 0.971484375,
"max_reward": 2.073046875,
"mean_reward": -0.6001953125,
"min_reward": -3.078125,
"num_tokens": 2147275.0,
"step": 1330
},
{
"accuracy": 0.75,
"epoch": 1.7866666666666666,
"grad_norm": 178.06886291503906,
"learning_rate": 5.366666666666667e-07,
"loss": 0.7042564868927002,
"margin": 1.1953125,
"max_reward": 1.126953125,
"mean_reward": -1.3919921875,
"min_reward": -3.98046875,
"num_tokens": 2165353.0,
"step": 1340
},
{
"accuracy": 0.65,
"epoch": 1.8,
"grad_norm": 49.11288070678711,
"learning_rate": 5.033333333333334e-07,
"loss": 0.9773781776428223,
"margin": 0.57353515625,
"max_reward": 1.633447265625,
"mean_reward": -0.50439453125,
"min_reward": -2.768359375,
"num_tokens": 2181126.0,
"step": 1350
},
{
"epoch": 1.8,
"eval_accuracy": 0.612,
"eval_loss": 0.9391070008277893,
"eval_margin": 0.6821452369689941,
"eval_max_reward": 0.2567112731933594,
"eval_mean_reward": -0.8024592456817627,
"eval_min_reward": -1.8616297645568847,
"eval_num_tokens": 2181126.0,
"eval_runtime": 62.4622,
"eval_samples_per_second": 8.005,
"eval_steps_per_second": 8.005,
"step": 1350
},
{
"accuracy": 0.8,
"epoch": 1.8133333333333335,
"grad_norm": 12.369355201721191,
"learning_rate": 4.7000000000000005e-07,
"loss": 0.5082510471343994,
"margin": 2.278076171875,
"max_reward": 2.44150390625,
"mean_reward": -0.1749755859375,
"min_reward": -3.0359375,
"num_tokens": 2198470.0,
"step": 1360
},
{
"accuracy": 0.6,
"epoch": 1.8266666666666667,
"grad_norm": 21.943758010864258,
"learning_rate": 4.366666666666667e-07,
"loss": 0.8553391456604004,
"margin": 1.10614013671875,
"max_reward": 0.610546875,
"mean_reward": -1.453851318359375,
"min_reward": -3.56328125,
"num_tokens": 2213797.0,
"step": 1370
},
{
"accuracy": 0.55,
"epoch": 1.8399999999999999,
"grad_norm": 67.34660339355469,
"learning_rate": 4.0333333333333337e-07,
"loss": 1.136549472808838,
"margin": 0.629931640625,
"max_reward": 2.42353515625,
"mean_reward": -0.6287841796875,
"min_reward": -3.7546875,
"num_tokens": 2230299.0,
"step": 1380
},
{
"accuracy": 0.65,
"epoch": 1.8533333333333335,
"grad_norm": 14.513836860656738,
"learning_rate": 3.7e-07,
"loss": 0.5644237518310546,
"margin": 1.4962158203125,
"max_reward": 1.477099609375,
"mean_reward": -1.04271240234375,
"min_reward": -3.7123046875,
"num_tokens": 2245618.0,
"step": 1390
},
{
"accuracy": 0.5,
"epoch": 1.8666666666666667,
"grad_norm": 137.32266235351562,
"learning_rate": 3.366666666666667e-07,
"loss": 0.7403782367706299,
"margin": 1.222882080078125,
"max_reward": 1.35396728515625,
"mean_reward": -1.0289886474609375,
"min_reward": -3.173046875,
"num_tokens": 2262798.0,
"step": 1400
},
{
"epoch": 1.8666666666666667,
"eval_accuracy": 0.618,
"eval_loss": 0.9525383710861206,
"eval_margin": 0.7151371459960938,
"eval_max_reward": -0.032703857421875,
"eval_mean_reward": -1.126583221435547,
"eval_min_reward": -2.220462585449219,
"eval_num_tokens": 2262798.0,
"eval_runtime": 62.453,
"eval_samples_per_second": 8.006,
"eval_steps_per_second": 8.006,
"step": 1400
},
{
"accuracy": 0.75,
"epoch": 1.88,
"grad_norm": 87.93866729736328,
"learning_rate": 3.033333333333334e-07,
"loss": 0.7155962944030761,
"margin": 1.211572265625,
"max_reward": 1.64248046875,
"mean_reward": -0.8534912109375,
"min_reward": -3.3265625,
"num_tokens": 2280625.0,
"step": 1410
},
{
"accuracy": 0.6,
"epoch": 1.8933333333333333,
"grad_norm": 136.62033081054688,
"learning_rate": 2.7e-07,
"loss": 0.7803818702697753,
"margin": 1.5741943359375,
"max_reward": 1.125,
"mean_reward": -1.46397705078125,
"min_reward": -3.69921875,
"num_tokens": 2297438.0,
"step": 1420
},
{
"accuracy": 0.8,
"epoch": 1.9066666666666667,
"grad_norm": 36.08385467529297,
"learning_rate": 2.3666666666666667e-07,
"loss": 0.44714956283569335,
"margin": 1.790771484375,
"max_reward": 2.1365234375,
"mean_reward": -1.1315673828125,
"min_reward": -4.0796875,
"num_tokens": 2315559.0,
"step": 1430
},
{
"accuracy": 0.75,
"epoch": 1.92,
"grad_norm": 16.93815803527832,
"learning_rate": 2.0333333333333333e-07,
"loss": 0.6091221332550049,
"margin": 1.25640869140625,
"max_reward": 0.8255126953125,
"mean_reward": -1.083807373046875,
"min_reward": -3.1236328125,
"num_tokens": 2331603.0,
"step": 1440
},
{
"accuracy": 0.55,
"epoch": 1.9333333333333333,
"grad_norm": 53.92049026489258,
"learning_rate": 1.7000000000000001e-07,
"loss": 0.7587657928466797,
"margin": 1.339501953125,
"max_reward": 1.06416015625,
"mean_reward": -0.8656494140625,
"min_reward": -3.60859375,
"num_tokens": 2346680.0,
"step": 1450
},
{
"epoch": 1.9333333333333333,
"eval_accuracy": 0.612,
"eval_loss": 0.97000652551651,
"eval_margin": 0.7449773254394532,
"eval_max_reward": 0.27565774536132814,
"eval_mean_reward": -0.8554528350830078,
"eval_min_reward": -1.9865634155273437,
"eval_num_tokens": 2346680.0,
"eval_runtime": 62.49,
"eval_samples_per_second": 8.001,
"eval_steps_per_second": 8.001,
"step": 1450
}
],
"logging_steps": 10,
"max_steps": 1500,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 50,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1987610824820736.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}