mistralai-7b-sft-full / trainer_state.json
ZHENGRAN's picture
Model save
611bd24 verified
raw
history blame
27.1 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 1089,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 1.8348623853211012e-07,
"loss": 1.6866,
"step": 1
},
{
"epoch": 0.0,
"learning_rate": 9.174311926605506e-07,
"loss": 1.6643,
"step": 5
},
{
"epoch": 0.01,
"learning_rate": 1.8348623853211011e-06,
"loss": 1.4006,
"step": 10
},
{
"epoch": 0.01,
"learning_rate": 2.7522935779816517e-06,
"loss": 1.2478,
"step": 15
},
{
"epoch": 0.02,
"learning_rate": 3.6697247706422022e-06,
"loss": 1.1691,
"step": 20
},
{
"epoch": 0.02,
"learning_rate": 4.587155963302753e-06,
"loss": 1.1192,
"step": 25
},
{
"epoch": 0.03,
"learning_rate": 5.504587155963303e-06,
"loss": 1.0745,
"step": 30
},
{
"epoch": 0.03,
"learning_rate": 6.422018348623854e-06,
"loss": 1.0693,
"step": 35
},
{
"epoch": 0.04,
"learning_rate": 7.3394495412844045e-06,
"loss": 1.06,
"step": 40
},
{
"epoch": 0.04,
"learning_rate": 8.256880733944956e-06,
"loss": 1.0413,
"step": 45
},
{
"epoch": 0.05,
"learning_rate": 9.174311926605506e-06,
"loss": 1.0245,
"step": 50
},
{
"epoch": 0.05,
"learning_rate": 1.0091743119266055e-05,
"loss": 1.0305,
"step": 55
},
{
"epoch": 0.06,
"learning_rate": 1.1009174311926607e-05,
"loss": 1.0137,
"step": 60
},
{
"epoch": 0.06,
"learning_rate": 1.1926605504587156e-05,
"loss": 0.9991,
"step": 65
},
{
"epoch": 0.06,
"learning_rate": 1.2844036697247708e-05,
"loss": 1.0178,
"step": 70
},
{
"epoch": 0.07,
"learning_rate": 1.3761467889908258e-05,
"loss": 0.9941,
"step": 75
},
{
"epoch": 0.07,
"learning_rate": 1.4678899082568809e-05,
"loss": 1.0157,
"step": 80
},
{
"epoch": 0.08,
"learning_rate": 1.559633027522936e-05,
"loss": 1.0254,
"step": 85
},
{
"epoch": 0.08,
"learning_rate": 1.6513761467889912e-05,
"loss": 1.0103,
"step": 90
},
{
"epoch": 0.09,
"learning_rate": 1.743119266055046e-05,
"loss": 1.0006,
"step": 95
},
{
"epoch": 0.09,
"learning_rate": 1.834862385321101e-05,
"loss": 0.9974,
"step": 100
},
{
"epoch": 0.1,
"learning_rate": 1.9266055045871563e-05,
"loss": 1.0041,
"step": 105
},
{
"epoch": 0.1,
"learning_rate": 1.999994861726391e-05,
"loss": 1.0137,
"step": 110
},
{
"epoch": 0.11,
"learning_rate": 1.99981502769439e-05,
"loss": 1.0078,
"step": 115
},
{
"epoch": 0.11,
"learning_rate": 1.999378332783191e-05,
"loss": 1.0148,
"step": 120
},
{
"epoch": 0.11,
"learning_rate": 1.9986848891833846e-05,
"loss": 1.0185,
"step": 125
},
{
"epoch": 0.12,
"learning_rate": 1.997734875046456e-05,
"loss": 1.0105,
"step": 130
},
{
"epoch": 0.12,
"learning_rate": 1.9965285344390185e-05,
"loss": 1.0015,
"step": 135
},
{
"epoch": 0.13,
"learning_rate": 1.9950661772801062e-05,
"loss": 1.0084,
"step": 140
},
{
"epoch": 0.13,
"learning_rate": 1.9933481792615583e-05,
"loss": 1.0053,
"step": 145
},
{
"epoch": 0.14,
"learning_rate": 1.9913749817514963e-05,
"loss": 1.0154,
"step": 150
},
{
"epoch": 0.14,
"learning_rate": 1.9891470916809362e-05,
"loss": 1.0014,
"step": 155
},
{
"epoch": 0.15,
"learning_rate": 1.986665081413552e-05,
"loss": 1.0092,
"step": 160
},
{
"epoch": 0.15,
"learning_rate": 1.98392958859863e-05,
"loss": 1.0185,
"step": 165
},
{
"epoch": 0.16,
"learning_rate": 1.980941316007253e-05,
"loss": 1.0176,
"step": 170
},
{
"epoch": 0.16,
"learning_rate": 1.9777010313517517e-05,
"loss": 1.0089,
"step": 175
},
{
"epoch": 0.17,
"learning_rate": 1.974209567088473e-05,
"loss": 1.0228,
"step": 180
},
{
"epoch": 0.17,
"learning_rate": 1.9704678202039148e-05,
"loss": 1.0189,
"step": 185
},
{
"epoch": 0.17,
"learning_rate": 1.966476751984283e-05,
"loss": 0.9983,
"step": 190
},
{
"epoch": 0.18,
"learning_rate": 1.962237387768529e-05,
"loss": 1.0197,
"step": 195
},
{
"epoch": 0.18,
"learning_rate": 1.9577508166849308e-05,
"loss": 1.0004,
"step": 200
},
{
"epoch": 0.19,
"learning_rate": 1.9530181913712875e-05,
"loss": 0.9991,
"step": 205
},
{
"epoch": 0.19,
"learning_rate": 1.9480407276787968e-05,
"loss": 1.0092,
"step": 210
},
{
"epoch": 0.2,
"learning_rate": 1.942819704359693e-05,
"loss": 0.9886,
"step": 215
},
{
"epoch": 0.2,
"learning_rate": 1.9373564627387243e-05,
"loss": 1.0196,
"step": 220
},
{
"epoch": 0.21,
"learning_rate": 1.9316524063685544e-05,
"loss": 1.0169,
"step": 225
},
{
"epoch": 0.21,
"learning_rate": 1.92570900066918e-05,
"loss": 1.0254,
"step": 230
},
{
"epoch": 0.22,
"learning_rate": 1.919527772551451e-05,
"loss": 1.0024,
"step": 235
},
{
"epoch": 0.22,
"learning_rate": 1.9131103100247934e-05,
"loss": 1.0204,
"step": 240
},
{
"epoch": 0.22,
"learning_rate": 1.9064582617892383e-05,
"loss": 1.0196,
"step": 245
},
{
"epoch": 0.23,
"learning_rate": 1.8995733368118556e-05,
"loss": 1.0135,
"step": 250
},
{
"epoch": 0.23,
"learning_rate": 1.8924573038877062e-05,
"loss": 1.0254,
"step": 255
},
{
"epoch": 0.24,
"learning_rate": 1.8851119911854236e-05,
"loss": 1.0024,
"step": 260
},
{
"epoch": 0.24,
"learning_rate": 1.877539285777543e-05,
"loss": 1.0066,
"step": 265
},
{
"epoch": 0.25,
"learning_rate": 1.8697411331556958e-05,
"loss": 0.9814,
"step": 270
},
{
"epoch": 0.25,
"learning_rate": 1.861719536730795e-05,
"loss": 0.9967,
"step": 275
},
{
"epoch": 0.26,
"learning_rate": 1.853476557318346e-05,
"loss": 1.0078,
"step": 280
},
{
"epoch": 0.26,
"learning_rate": 1.8450143126090015e-05,
"loss": 1.0156,
"step": 285
},
{
"epoch": 0.27,
"learning_rate": 1.8363349766245108e-05,
"loss": 1.0144,
"step": 290
},
{
"epoch": 0.27,
"learning_rate": 1.8274407791591966e-05,
"loss": 1.0124,
"step": 295
},
{
"epoch": 0.28,
"learning_rate": 1.8183340052071e-05,
"loss": 0.9986,
"step": 300
},
{
"epoch": 0.28,
"learning_rate": 1.8090169943749477e-05,
"loss": 0.9987,
"step": 305
},
{
"epoch": 0.28,
"learning_rate": 1.7994921402810862e-05,
"loss": 1.0137,
"step": 310
},
{
"epoch": 0.29,
"learning_rate": 1.7897618899405423e-05,
"loss": 1.0134,
"step": 315
},
{
"epoch": 0.29,
"learning_rate": 1.7798287431363644e-05,
"loss": 1.0011,
"step": 320
},
{
"epoch": 0.3,
"learning_rate": 1.769695251777406e-05,
"loss": 0.9996,
"step": 325
},
{
"epoch": 0.3,
"learning_rate": 1.75936401924272e-05,
"loss": 1.0123,
"step": 330
},
{
"epoch": 0.31,
"learning_rate": 1.748837699712728e-05,
"loss": 1.003,
"step": 335
},
{
"epoch": 0.31,
"learning_rate": 1.738118997487341e-05,
"loss": 1.008,
"step": 340
},
{
"epoch": 0.32,
"learning_rate": 1.7272106662911972e-05,
"loss": 0.9967,
"step": 345
},
{
"epoch": 0.32,
"learning_rate": 1.7161155085662144e-05,
"loss": 0.9983,
"step": 350
},
{
"epoch": 0.33,
"learning_rate": 1.704836374751612e-05,
"loss": 0.9894,
"step": 355
},
{
"epoch": 0.33,
"learning_rate": 1.693376162551613e-05,
"loss": 0.9987,
"step": 360
},
{
"epoch": 0.34,
"learning_rate": 1.6817378161909995e-05,
"loss": 0.9949,
"step": 365
},
{
"epoch": 0.34,
"learning_rate": 1.6699243256587156e-05,
"loss": 0.9991,
"step": 370
},
{
"epoch": 0.34,
"learning_rate": 1.657938725939713e-05,
"loss": 0.997,
"step": 375
},
{
"epoch": 0.35,
"learning_rate": 1.6457840962352403e-05,
"loss": 0.9866,
"step": 380
},
{
"epoch": 0.35,
"learning_rate": 1.63346355917177e-05,
"loss": 0.9847,
"step": 385
},
{
"epoch": 0.36,
"learning_rate": 1.6209802799987674e-05,
"loss": 0.9972,
"step": 390
},
{
"epoch": 0.36,
"learning_rate": 1.6083374657755132e-05,
"loss": 0.9712,
"step": 395
},
{
"epoch": 0.37,
"learning_rate": 1.5955383645471828e-05,
"loss": 0.9911,
"step": 400
},
{
"epoch": 0.37,
"learning_rate": 1.5825862645103962e-05,
"loss": 0.9882,
"step": 405
},
{
"epoch": 0.38,
"learning_rate": 1.569484493168452e-05,
"loss": 0.9958,
"step": 410
},
{
"epoch": 0.38,
"learning_rate": 1.556236416476465e-05,
"loss": 0.9738,
"step": 415
},
{
"epoch": 0.39,
"learning_rate": 1.5428454379766223e-05,
"loss": 0.9654,
"step": 420
},
{
"epoch": 0.39,
"learning_rate": 1.5293149979237875e-05,
"loss": 0.987,
"step": 425
},
{
"epoch": 0.39,
"learning_rate": 1.5156485724016672e-05,
"loss": 0.9919,
"step": 430
},
{
"epoch": 0.4,
"learning_rate": 1.5018496724297778e-05,
"loss": 1.011,
"step": 435
},
{
"epoch": 0.4,
"learning_rate": 1.4879218430614346e-05,
"loss": 0.9793,
"step": 440
},
{
"epoch": 0.41,
"learning_rate": 1.4738686624729987e-05,
"loss": 0.9981,
"step": 445
},
{
"epoch": 0.41,
"learning_rate": 1.4596937410446117e-05,
"loss": 1.0022,
"step": 450
},
{
"epoch": 0.42,
"learning_rate": 1.4454007204326592e-05,
"loss": 0.9988,
"step": 455
},
{
"epoch": 0.42,
"learning_rate": 1.4309932726342007e-05,
"loss": 0.9803,
"step": 460
},
{
"epoch": 0.43,
"learning_rate": 1.4164750990435991e-05,
"loss": 0.9845,
"step": 465
},
{
"epoch": 0.43,
"learning_rate": 1.4018499295016057e-05,
"loss": 0.9902,
"step": 470
},
{
"epoch": 0.44,
"learning_rate": 1.3871215213371284e-05,
"loss": 0.9816,
"step": 475
},
{
"epoch": 0.44,
"learning_rate": 1.3722936584019453e-05,
"loss": 0.9785,
"step": 480
},
{
"epoch": 0.45,
"learning_rate": 1.3573701500986012e-05,
"loss": 0.9802,
"step": 485
},
{
"epoch": 0.45,
"learning_rate": 1.342354830401738e-05,
"loss": 0.986,
"step": 490
},
{
"epoch": 0.45,
"learning_rate": 1.327251556873117e-05,
"loss": 0.9719,
"step": 495
},
{
"epoch": 0.46,
"learning_rate": 1.3120642096705773e-05,
"loss": 0.9845,
"step": 500
},
{
"epoch": 0.46,
"learning_rate": 1.2967966905511906e-05,
"loss": 0.989,
"step": 505
},
{
"epoch": 0.47,
"learning_rate": 1.2814529218688688e-05,
"loss": 0.9675,
"step": 510
},
{
"epoch": 0.47,
"learning_rate": 1.2660368455666752e-05,
"loss": 0.9767,
"step": 515
},
{
"epoch": 0.48,
"learning_rate": 1.2505524221641097e-05,
"loss": 0.9966,
"step": 520
},
{
"epoch": 0.48,
"learning_rate": 1.2350036297396153e-05,
"loss": 0.9569,
"step": 525
},
{
"epoch": 0.49,
"learning_rate": 1.2193944629085778e-05,
"loss": 0.9773,
"step": 530
},
{
"epoch": 0.49,
"learning_rate": 1.2037289317970757e-05,
"loss": 0.9683,
"step": 535
},
{
"epoch": 0.5,
"learning_rate": 1.1880110610116438e-05,
"loss": 0.9737,
"step": 540
},
{
"epoch": 0.5,
"learning_rate": 1.172244888605319e-05,
"loss": 0.9781,
"step": 545
},
{
"epoch": 0.51,
"learning_rate": 1.156434465040231e-05,
"loss": 0.9362,
"step": 550
},
{
"epoch": 0.51,
"learning_rate": 1.140583852147003e-05,
"loss": 0.9604,
"step": 555
},
{
"epoch": 0.51,
"learning_rate": 1.1246971220812348e-05,
"loss": 0.9693,
"step": 560
},
{
"epoch": 0.52,
"learning_rate": 1.108778356277331e-05,
"loss": 0.9694,
"step": 565
},
{
"epoch": 0.52,
"learning_rate": 1.0928316443999462e-05,
"loss": 0.9649,
"step": 570
},
{
"epoch": 0.53,
"learning_rate": 1.0768610832933169e-05,
"loss": 0.9636,
"step": 575
},
{
"epoch": 0.53,
"learning_rate": 1.0608707759287454e-05,
"loss": 0.9681,
"step": 580
},
{
"epoch": 0.54,
"learning_rate": 1.044864830350515e-05,
"loss": 0.976,
"step": 585
},
{
"epoch": 0.54,
"learning_rate": 1.028847358620497e-05,
"loss": 0.9476,
"step": 590
},
{
"epoch": 0.55,
"learning_rate": 1.0128224757617272e-05,
"loss": 0.9634,
"step": 595
},
{
"epoch": 0.55,
"learning_rate": 9.967942987012243e-06,
"loss": 0.9747,
"step": 600
},
{
"epoch": 0.56,
"learning_rate": 9.80766945212313e-06,
"loss": 0.9569,
"step": 605
},
{
"epoch": 0.56,
"learning_rate": 9.647445328567368e-06,
"loss": 0.9764,
"step": 610
},
{
"epoch": 0.56,
"learning_rate": 9.48731177926821e-06,
"loss": 0.9533,
"step": 615
},
{
"epoch": 0.57,
"learning_rate": 9.327309943879604e-06,
"loss": 0.9652,
"step": 620
},
{
"epoch": 0.57,
"learning_rate": 9.167480928217108e-06,
"loss": 0.9585,
"step": 625
},
{
"epoch": 0.58,
"learning_rate": 9.007865793697425e-06,
"loss": 0.9581,
"step": 630
},
{
"epoch": 0.58,
"learning_rate": 8.848505546789407e-06,
"loss": 0.9778,
"step": 635
},
{
"epoch": 0.59,
"learning_rate": 8.689441128479134e-06,
"loss": 0.9708,
"step": 640
},
{
"epoch": 0.59,
"learning_rate": 8.530713403751822e-06,
"loss": 0.9608,
"step": 645
},
{
"epoch": 0.6,
"learning_rate": 8.372363151093302e-06,
"loss": 0.9606,
"step": 650
},
{
"epoch": 0.6,
"learning_rate": 8.214431052013636e-06,
"loss": 0.9628,
"step": 655
},
{
"epoch": 0.61,
"learning_rate": 8.056957680595733e-06,
"loss": 0.9792,
"step": 660
},
{
"epoch": 0.61,
"learning_rate": 7.899983493071506e-06,
"loss": 0.9443,
"step": 665
},
{
"epoch": 0.62,
"learning_rate": 7.74354881742834e-06,
"loss": 0.9482,
"step": 670
},
{
"epoch": 0.62,
"learning_rate": 7.587693843048475e-06,
"loss": 0.9664,
"step": 675
},
{
"epoch": 0.62,
"learning_rate": 7.432458610384037e-06,
"loss": 0.9551,
"step": 680
},
{
"epoch": 0.63,
"learning_rate": 7.27788300067029e-06,
"loss": 0.9468,
"step": 685
},
{
"epoch": 0.63,
"learning_rate": 7.124006725679828e-06,
"loss": 0.9468,
"step": 690
},
{
"epoch": 0.64,
"learning_rate": 6.97086931752028e-06,
"loss": 0.9351,
"step": 695
},
{
"epoch": 0.64,
"learning_rate": 6.818510118478172e-06,
"loss": 0.9474,
"step": 700
},
{
"epoch": 0.65,
"learning_rate": 6.666968270911585e-06,
"loss": 0.9416,
"step": 705
},
{
"epoch": 0.65,
"learning_rate": 6.5162827071941194e-06,
"loss": 0.9444,
"step": 710
},
{
"epoch": 0.66,
"learning_rate": 6.366492139712886e-06,
"loss": 0.9407,
"step": 715
},
{
"epoch": 0.66,
"learning_rate": 6.217635050922923e-06,
"loss": 0.9594,
"step": 720
},
{
"epoch": 0.67,
"learning_rate": 6.069749683460765e-06,
"loss": 0.9441,
"step": 725
},
{
"epoch": 0.67,
"learning_rate": 5.922874030319567e-06,
"loss": 0.9318,
"step": 730
},
{
"epoch": 0.67,
"learning_rate": 5.7770458250884044e-06,
"loss": 0.9424,
"step": 735
},
{
"epoch": 0.68,
"learning_rate": 5.6323025322581694e-06,
"loss": 0.9462,
"step": 740
},
{
"epoch": 0.68,
"learning_rate": 5.488681337596653e-06,
"loss": 0.9335,
"step": 745
},
{
"epoch": 0.69,
"learning_rate": 5.346219138595215e-06,
"loss": 0.9482,
"step": 750
},
{
"epoch": 0.69,
"learning_rate": 5.2049525349894625e-06,
"loss": 0.9221,
"step": 755
},
{
"epoch": 0.7,
"learning_rate": 5.064917819356532e-06,
"loss": 0.9371,
"step": 760
},
{
"epoch": 0.7,
"learning_rate": 4.92615096779118e-06,
"loss": 0.9476,
"step": 765
},
{
"epoch": 0.71,
"learning_rate": 4.788687630663232e-06,
"loss": 0.9509,
"step": 770
},
{
"epoch": 0.71,
"learning_rate": 4.652563123458703e-06,
"loss": 0.9403,
"step": 775
},
{
"epoch": 0.72,
"learning_rate": 4.517812417706967e-06,
"loss": 0.9561,
"step": 780
},
{
"epoch": 0.72,
"learning_rate": 4.3844701319962525e-06,
"loss": 0.9271,
"step": 785
},
{
"epoch": 0.73,
"learning_rate": 4.252570523079852e-06,
"loss": 0.9379,
"step": 790
},
{
"epoch": 0.73,
"learning_rate": 4.12214747707527e-06,
"loss": 0.9291,
"step": 795
},
{
"epoch": 0.73,
"learning_rate": 3.993234500758597e-06,
"loss": 0.9394,
"step": 800
},
{
"epoch": 0.74,
"learning_rate": 3.865864712956336e-06,
"loss": 0.9482,
"step": 805
},
{
"epoch": 0.74,
"learning_rate": 3.740070836036893e-06,
"loss": 0.9267,
"step": 810
},
{
"epoch": 0.75,
"learning_rate": 3.6158851875039458e-06,
"loss": 0.9338,
"step": 815
},
{
"epoch": 0.75,
"learning_rate": 3.493339671693765e-06,
"loss": 0.943,
"step": 820
},
{
"epoch": 0.76,
"learning_rate": 3.372465771578771e-06,
"loss": 0.9358,
"step": 825
},
{
"epoch": 0.76,
"learning_rate": 3.2532945406792573e-06,
"loss": 0.9317,
"step": 830
},
{
"epoch": 0.77,
"learning_rate": 3.135856595085498e-06,
"loss": 0.9381,
"step": 835
},
{
"epoch": 0.77,
"learning_rate": 3.02018210559221e-06,
"loss": 0.9284,
"step": 840
},
{
"epoch": 0.78,
"learning_rate": 2.9063007899474214e-06,
"loss": 0.9266,
"step": 845
},
{
"epoch": 0.78,
"learning_rate": 2.794241905217753e-06,
"loss": 0.9358,
"step": 850
},
{
"epoch": 0.79,
"learning_rate": 2.6840342402719867e-06,
"loss": 0.9349,
"step": 855
},
{
"epoch": 0.79,
"learning_rate": 2.5757061083850153e-06,
"loss": 0.9377,
"step": 860
},
{
"epoch": 0.79,
"learning_rate": 2.469285339963892e-06,
"loss": 0.9396,
"step": 865
},
{
"epoch": 0.8,
"learning_rate": 2.3647992753979698e-06,
"loss": 0.922,
"step": 870
},
{
"epoch": 0.8,
"learning_rate": 2.2622747580349313e-06,
"loss": 0.9232,
"step": 875
},
{
"epoch": 0.81,
"learning_rate": 2.1617381272845174e-06,
"loss": 0.9269,
"step": 880
},
{
"epoch": 0.81,
"learning_rate": 2.063215211851678e-06,
"loss": 0.9323,
"step": 885
},
{
"epoch": 0.82,
"learning_rate": 1.9667313231009955e-06,
"loss": 0.9264,
"step": 890
},
{
"epoch": 0.82,
"learning_rate": 1.8723112485539741e-06,
"loss": 0.9233,
"step": 895
},
{
"epoch": 0.83,
"learning_rate": 1.7799792455209019e-06,
"loss": 0.9325,
"step": 900
},
{
"epoch": 0.83,
"learning_rate": 1.6897590348689607e-06,
"loss": 0.9426,
"step": 905
},
{
"epoch": 0.84,
"learning_rate": 1.601673794928127e-06,
"loss": 0.9276,
"step": 910
},
{
"epoch": 0.84,
"learning_rate": 1.5157461555364772e-06,
"loss": 0.9373,
"step": 915
},
{
"epoch": 0.84,
"learning_rate": 1.4319981922263636e-06,
"loss": 0.9341,
"step": 920
},
{
"epoch": 0.85,
"learning_rate": 1.350451420553065e-06,
"loss": 0.9356,
"step": 925
},
{
"epoch": 0.85,
"learning_rate": 1.271126790567223e-06,
"loss": 0.9189,
"step": 930
},
{
"epoch": 0.86,
"learning_rate": 1.19404468143262e-06,
"loss": 0.9093,
"step": 935
},
{
"epoch": 0.86,
"learning_rate": 1.119224896190595e-06,
"loss": 0.9331,
"step": 940
},
{
"epoch": 0.87,
"learning_rate": 1.0466866566724698e-06,
"loss": 0.9154,
"step": 945
},
{
"epoch": 0.87,
"learning_rate": 9.764485985613092e-07,
"loss": 0.9145,
"step": 950
},
{
"epoch": 0.88,
"learning_rate": 9.085287666042508e-07,
"loss": 0.9264,
"step": 955
},
{
"epoch": 0.88,
"learning_rate": 8.429446099766614e-07,
"loss": 0.9288,
"step": 960
},
{
"epoch": 0.89,
"learning_rate": 7.797129777992951e-07,
"loss": 0.9188,
"step": 965
},
{
"epoch": 0.89,
"learning_rate": 7.188501148096117e-07,
"loss": 0.9216,
"step": 970
},
{
"epoch": 0.9,
"learning_rate": 6.60371657188369e-07,
"loss": 0.9218,
"step": 975
},
{
"epoch": 0.9,
"learning_rate": 6.042926285425577e-07,
"loss": 0.9174,
"step": 980
},
{
"epoch": 0.9,
"learning_rate": 5.506274360457087e-07,
"loss": 0.9052,
"step": 985
},
{
"epoch": 0.91,
"learning_rate": 4.993898667365671e-07,
"loss": 0.9303,
"step": 990
},
{
"epoch": 0.91,
"learning_rate": 4.505930839770967e-07,
"loss": 0.9262,
"step": 995
},
{
"epoch": 0.92,
"learning_rate": 4.0424962407068167e-07,
"loss": 0.9285,
"step": 1000
},
{
"epoch": 0.92,
"learning_rate": 3.603713930414676e-07,
"loss": 0.9216,
"step": 1005
},
{
"epoch": 0.93,
"learning_rate": 3.189696635755868e-07,
"loss": 0.9181,
"step": 1010
},
{
"epoch": 0.93,
"learning_rate": 2.8005507212512164e-07,
"loss": 0.9161,
"step": 1015
},
{
"epoch": 0.94,
"learning_rate": 2.436376161755005e-07,
"loss": 0.9286,
"step": 1020
},
{
"epoch": 0.94,
"learning_rate": 2.097266516770713e-07,
"loss": 0.9329,
"step": 1025
},
{
"epoch": 0.95,
"learning_rate": 1.7833089064146825e-07,
"loss": 0.9304,
"step": 1030
},
{
"epoch": 0.95,
"learning_rate": 1.494583989034326e-07,
"loss": 0.9353,
"step": 1035
},
{
"epoch": 0.96,
"learning_rate": 1.231165940486234e-07,
"loss": 0.9119,
"step": 1040
},
{
"epoch": 0.96,
"learning_rate": 9.931224350798185e-08,
"loss": 0.918,
"step": 1045
},
{
"epoch": 0.96,
"learning_rate": 7.805146281912202e-08,
"loss": 0.914,
"step": 1050
},
{
"epoch": 0.97,
"learning_rate": 5.933971405519656e-08,
"loss": 0.9287,
"step": 1055
},
{
"epoch": 0.97,
"learning_rate": 4.318180442164588e-08,
"loss": 0.9122,
"step": 1060
},
{
"epoch": 0.98,
"learning_rate": 2.9581885021181534e-08,
"loss": 0.9115,
"step": 1065
},
{
"epoch": 0.98,
"learning_rate": 1.854344978733824e-08,
"loss": 0.9131,
"step": 1070
},
{
"epoch": 0.99,
"learning_rate": 1.0069334586854106e-08,
"loss": 0.9036,
"step": 1075
},
{
"epoch": 0.99,
"learning_rate": 4.161716491105639e-09,
"loss": 0.9243,
"step": 1080
},
{
"epoch": 1.0,
"learning_rate": 8.221132168073631e-10,
"loss": 0.91,
"step": 1085
},
{
"epoch": 1.0,
"eval_loss": 0.9352424740791321,
"eval_runtime": 319.1826,
"eval_samples_per_second": 48.302,
"eval_steps_per_second": 0.755,
"step": 1089
},
{
"epoch": 1.0,
"step": 1089,
"total_flos": 456028890071040.0,
"train_loss": 0.9776419559895609,
"train_runtime": 12679.62,
"train_samples_per_second": 10.987,
"train_steps_per_second": 0.086
}
],
"logging_steps": 5,
"max_steps": 1089,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 100,
"total_flos": 456028890071040.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}