OpenLLM-France/Lucie-7B
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初始化项目，由ModelHub XC社区提供模型

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Model: OpenLLM-France/Lucie-7B
Source: Original Platform
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ModelHub XC
2026-06-01 07:45:17 +08:00
commit 7042ca32ca
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training_steps,training_tokens,training_loss,walltime,gputime,learning_rate
25,102400000,1.4206320714950562,0.26831979325136307,34.34493353617447,2.938559919130057e-05
50,204800000,1.3607354307174682,0.532874067107453,68.20788058975398,2.8771199140464887e-05
75,307200000,1.344892144203186,0.797669098578563,102.10164461805607,2.8156800908618607e-05
100,409600000,1.3339987087249756,1.0622922554949321,135.9734087033513,2.7542400857782923e-05
125,512000000,1.3272197246551514,1.3275567747589183,169.92726716914154,2.692800080694724e-05
150,614400000,1.3201901483535767,1.5918107887810053,203.75178096396868,2.6313600756111555e-05
175,716800000,1.3260539388656616,1.856745663885765,237.6634449773779,2.569920070527587e-05
200,819200000,1.3183754396438598,2.1223753731163395,271.66404775889146,2.5084800654440187e-05
225,921600000,1.3132305669784545,2.3882311399600185,305.69358591488236,2.4470400603604503e-05
250,1024000000,1.3129970407485962,2.65354331628931,339.65354448503166,2.385600055276882e-05
275,1126400000,1.3064435338973999,2.9190579786122703,373.6394212623706,2.3241600501933135e-05
300,1228800000,1.3097565698623657,3.1846308088092967,407.63274352759,2.262720045109745e-05
325,1331200000,1.2990926265716554,3.450655307807062,441.6838793993039,2.2012800400261767e-05
350,1433600000,1.3015284061431884,3.7156531358282527,475.60360138601635,2.1398400349426083e-05
375,1536000000,1.300846767425537,3.9803074113379786,509.47934865126126,2.07840002985904e-05
400,1638400000,1.2993078660964965,4.245298594229775,543.3982200614112,2.0169600247754715e-05
425,1740800000,1.2959114503860474,4.510613332994379,577.3585066232805,1.955520019691903e-05
450,1843200000,1.2931818628311158,4.775614008341895,611.2785930677626,1.8940800146083347e-05
475,1945600000,1.2935280084609986,5.040500104048112,645.1840133181583,1.8326400095247664e-05
500,2048000000,1.297581434249878,5.305721228775273,679.1323172832349,1.771200004441198e-05
525,2150400000,1.2973516607284545,5.571934178461597,713.2075748430844,1.7097599993576296e-05
550,2252800000,1.2920558738708496,5.836718603762894,747.0999812816505,1.6483199942740612e-05
575,2355200000,1.2921710443496703,6.101621121729093,781.0075035813239,1.5868799891904928e-05
600,2457600000,1.2922473382949828,6.3664986443806235,814.9118264807198,1.5254399841069244e-05
625,2560000000,1.286066074371338,6.632426781060178,848.9506279757028,1.463999979023356e-05
650,2662400000,1.2801355123519897,6.897544031576831,882.8856360418343,1.4025599739397876e-05
675,2764800000,1.2844274616241456,7.16281749378081,916.8406392039436,1.3411199688562192e-05
700,2867200000,1.2837993860244752,7.427888308341158,950.7697034676683,1.2796799637726508e-05
725,2969600000,1.277207851409912,7.694053462864512,984.8388432466576,1.2182399586890824e-05
750,3072000000,1.2725739479064941,7.9594902915458245,1018.8147573178655,1.1568000445549842e-05
775,3174400000,1.279445676803589,8.224737335718995,1052.7663789720314,1.0953600394714158e-05
800,3276800000,1.2785338878631591,8.4897940390995,1086.693637004736,1.0339200343878474e-05
825,3379200000,1.2763902473449706,8.754925038348853,1120.6304049086532,9.72480029304279e-06
850,3481600000,1.273976821899414,9.020435715932496,1154.6157716393595,9.110400242207106e-06
875,3584000000,1.2713893747329712,9.285925992178,1188.598526998784,8.496000191371422e-06
900,3686400000,1.2784578609466553,9.551624662507189,1222.6079568009202,7.881600140535738e-06
925,3788800000,1.2703066444396973,9.81712425603072,1256.5919047719321,7.267200089700054e-06
950,3891200000,1.271108751296997,10.082206830408738,1290.5224742923185,6.6528000388643704e-06
975,3993600000,1.2680458974838258,10.347317189690123,1324.4566002803358,6.0383999880286865e-06
1000,4096000000,1.2702019023895263,10.612797046162356,1358.4380219087816,5.4239999371930026e-06
1025,4198400000,1.2751475191116333,10.87931673718002,1392.5525423590425,4.809599886357319e-06
1050,4300800000,1.266355185508728,11.143856210205902,1426.4135949063555,4.195199835521635e-06
1075,4403200000,1.2681057167053222,11.408356219250548,1460.2695960640701,3.580800012059626e-06
1100,4505600000,1.271327452659607,11.672805533763803,1494.1191083217668,2.9663999612239422e-06
1125,4608000000,1.2650820541381835,11.938276334099923,1528.0993707647901,2.3519999103882583e-06
1150,4710400000,1.270536971092224,12.203680372205294,1562.0710876422777,1.737599973239412e-06
1175,4812800000,1.2631586408615112,12.468635068036095,1595.9852887086201,1.1232000360905658e-06
1200,4915200000,1.2647824430465697,12.734026105942206,1629.9553415606024,5.087999852548819e-07
1220,4997120000,1.2646446466445922,12.946103368596539,1657.101231180357,1.727999965339677e-08
1 training_steps training_tokens training_loss walltime gputime learning_rate
2 25 102400000 1.4206320714950562 0.26831979325136307 34.34493353617447 2.938559919130057e-05
3 50 204800000 1.3607354307174682 0.532874067107453 68.20788058975398 2.8771199140464887e-05
4 75 307200000 1.344892144203186 0.797669098578563 102.10164461805607 2.8156800908618607e-05
5 100 409600000 1.3339987087249756 1.0622922554949321 135.9734087033513 2.7542400857782923e-05
6 125 512000000 1.3272197246551514 1.3275567747589183 169.92726716914154 2.692800080694724e-05
7 150 614400000 1.3201901483535767 1.5918107887810053 203.75178096396868 2.6313600756111555e-05
8 175 716800000 1.3260539388656616 1.856745663885765 237.6634449773779 2.569920070527587e-05
9 200 819200000 1.3183754396438598 2.1223753731163395 271.66404775889146 2.5084800654440187e-05
10 225 921600000 1.3132305669784545 2.3882311399600185 305.69358591488236 2.4470400603604503e-05
11 250 1024000000 1.3129970407485962 2.65354331628931 339.65354448503166 2.385600055276882e-05
12 275 1126400000 1.3064435338973999 2.9190579786122703 373.6394212623706 2.3241600501933135e-05
13 300 1228800000 1.3097565698623657 3.1846308088092967 407.63274352759 2.262720045109745e-05
14 325 1331200000 1.2990926265716554 3.450655307807062 441.6838793993039 2.2012800400261767e-05
15 350 1433600000 1.3015284061431884 3.7156531358282527 475.60360138601635 2.1398400349426083e-05
16 375 1536000000 1.300846767425537 3.9803074113379786 509.47934865126126 2.07840002985904e-05
17 400 1638400000 1.2993078660964965 4.245298594229775 543.3982200614112 2.0169600247754715e-05
18 425 1740800000 1.2959114503860474 4.510613332994379 577.3585066232805 1.955520019691903e-05
19 450 1843200000 1.2931818628311158 4.775614008341895 611.2785930677626 1.8940800146083347e-05
20 475 1945600000 1.2935280084609986 5.040500104048112 645.1840133181583 1.8326400095247664e-05
21 500 2048000000 1.297581434249878 5.305721228775273 679.1323172832349 1.771200004441198e-05
22 525 2150400000 1.2973516607284545 5.571934178461597 713.2075748430844 1.7097599993576296e-05
23 550 2252800000 1.2920558738708496 5.836718603762894 747.0999812816505 1.6483199942740612e-05
24 575 2355200000 1.2921710443496703 6.101621121729093 781.0075035813239 1.5868799891904928e-05
25 600 2457600000 1.2922473382949828 6.3664986443806235 814.9118264807198 1.5254399841069244e-05
26 625 2560000000 1.286066074371338 6.632426781060178 848.9506279757028 1.463999979023356e-05
27 650 2662400000 1.2801355123519897 6.897544031576831 882.8856360418343 1.4025599739397876e-05
28 675 2764800000 1.2844274616241456 7.16281749378081 916.8406392039436 1.3411199688562192e-05
29 700 2867200000 1.2837993860244752 7.427888308341158 950.7697034676683 1.2796799637726508e-05
30 725 2969600000 1.277207851409912 7.694053462864512 984.8388432466576 1.2182399586890824e-05
31 750 3072000000 1.2725739479064941 7.9594902915458245 1018.8147573178655 1.1568000445549842e-05
32 775 3174400000 1.279445676803589 8.224737335718995 1052.7663789720314 1.0953600394714158e-05
33 800 3276800000 1.2785338878631591 8.4897940390995 1086.693637004736 1.0339200343878474e-05
34 825 3379200000 1.2763902473449706 8.754925038348853 1120.6304049086532 9.72480029304279e-06
35 850 3481600000 1.273976821899414 9.020435715932496 1154.6157716393595 9.110400242207106e-06
36 875 3584000000 1.2713893747329712 9.285925992178 1188.598526998784 8.496000191371422e-06
37 900 3686400000 1.2784578609466553 9.551624662507189 1222.6079568009202 7.881600140535738e-06
38 925 3788800000 1.2703066444396973 9.81712425603072 1256.5919047719321 7.267200089700054e-06
39 950 3891200000 1.271108751296997 10.082206830408738 1290.5224742923185 6.6528000388643704e-06
40 975 3993600000 1.2680458974838258 10.347317189690123 1324.4566002803358 6.0383999880286865e-06
41 1000 4096000000 1.2702019023895263 10.612797046162356 1358.4380219087816 5.4239999371930026e-06
42 1025 4198400000 1.2751475191116333 10.87931673718002 1392.5525423590425 4.809599886357319e-06
43 1050 4300800000 1.266355185508728 11.143856210205902 1426.4135949063555 4.195199835521635e-06
44 1075 4403200000 1.2681057167053222 11.408356219250548 1460.2695960640701 3.580800012059626e-06
45 1100 4505600000 1.271327452659607 11.672805533763803 1494.1191083217668 2.9663999612239422e-06
46 1125 4608000000 1.2650820541381835 11.938276334099923 1528.0993707647901 2.3519999103882583e-06
47 1150 4710400000 1.270536971092224 12.203680372205294 1562.0710876422777 1.737599973239412e-06
48 1175 4812800000 1.2631586408615112 12.468635068036095 1595.9852887086201 1.1232000360905658e-06
49 1200 4915200000 1.2647824430465697 12.734026105942206 1629.9553415606024 5.087999852548819e-07
50 1220 4997120000 1.2646446466445922 12.946103368596539 1657.101231180357 1.727999965339677e-08