初始化项目,由ModelHub XC社区提供模型

Model: NyayaLabs98/nyaya-3b-v3
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-27 22:08:26 +08:00
commit ff5f5ef338
37 changed files with 2009 additions and 0 deletions

View File

@@ -0,0 +1,20 @@
step,epoch,loss,learning_rate,grad_norm,mean_token_accuracy
10,0.050793650793650794,1.5175626754760743,9.993914063644052e-05,0.2645105719566345,0.6436327129602433
20,0.10158730158730159,1.292062759399414,9.886131295443003e-05,0.1842157244682312,0.6806577108800411
30,0.1523809523809524,1.1331645011901856,9.646456421395446e-05,0.1463174968957901,0.7136855460703373
40,0.20317460317460317,1.0500896453857422,9.281359022841965e-05,0.15235942602157593,0.7293100193142891
50,0.25396825396825395,0.9814230918884277,8.800694230932884e-05,0.18486258387565613,0.7447394959628582
60,0.3047619047619048,0.9417718887329102,8.2174367055326e-05,0.20546093583106995,0.7523589514195919
70,0.35555555555555557,0.8714447975158691,7.547330408197695e-05,0.27494359016418457,0.7701701499521733
80,0.40634920634920635,0.8259673118591309,6.808463622961578e-05,0.2904492914676666,0.7822930864989758
90,0.45714285714285713,0.7809524536132812,6.0207806964560584e-05,0.6509429216384888,0.7934819318354129
100,0.5079365079365079,0.7385403633117675,5.205543677045049e-05,0.29676851630210876,0.804052384197712
110,0.5587301587301587,0.6973814964294434,4.384758385029457e-05,0.3625648319721222,0.8153482332825661
120,0.6095238095238096,0.6504372119903564,3.580580406099893e-05,0.3534400761127472,0.8266014747321606
130,0.6603174603174603,0.645383882522583,2.8147170421488272e-05,0.3655138909816742,0.8276743076741695
140,0.7111111111111111,0.6282196044921875,2.1078413626773546e-05,0.33809009194374084,0.8325855515897274
150,0.7619047619047619,0.602206802368164,1.4790341733986085e-05,0.3583182990550995,0.8397377617657185
160,0.8126984126984127,0.5957026004791259,9.452689650664515e-06,0.3788113296031952,0.8424368388950825
170,0.8634920634920635,0.5803478240966797,5.209537453863289e-06,0.34813615679740906,0.8462515577673912
180,0.9142857142857143,0.5834349155426025,2.1754212141102346e-06,0.3094688653945923,0.8446752935647964
190,0.9650793650793651,0.5862775802612304,4.322413053509944e-07,0.35028040409088135,0.8439742468297482
1 step epoch loss learning_rate grad_norm mean_token_accuracy
2 10 0.050793650793650794 1.5175626754760743 9.993914063644052e-05 0.2645105719566345 0.6436327129602433
3 20 0.10158730158730159 1.292062759399414 9.886131295443003e-05 0.1842157244682312 0.6806577108800411
4 30 0.1523809523809524 1.1331645011901856 9.646456421395446e-05 0.1463174968957901 0.7136855460703373
5 40 0.20317460317460317 1.0500896453857422 9.281359022841965e-05 0.15235942602157593 0.7293100193142891
6 50 0.25396825396825395 0.9814230918884277 8.800694230932884e-05 0.18486258387565613 0.7447394959628582
7 60 0.3047619047619048 0.9417718887329102 8.2174367055326e-05 0.20546093583106995 0.7523589514195919
8 70 0.35555555555555557 0.8714447975158691 7.547330408197695e-05 0.27494359016418457 0.7701701499521733
9 80 0.40634920634920635 0.8259673118591309 6.808463622961578e-05 0.2904492914676666 0.7822930864989758
10 90 0.45714285714285713 0.7809524536132812 6.0207806964560584e-05 0.6509429216384888 0.7934819318354129
11 100 0.5079365079365079 0.7385403633117675 5.205543677045049e-05 0.29676851630210876 0.804052384197712
12 110 0.5587301587301587 0.6973814964294434 4.384758385029457e-05 0.3625648319721222 0.8153482332825661
13 120 0.6095238095238096 0.6504372119903564 3.580580406099893e-05 0.3534400761127472 0.8266014747321606
14 130 0.6603174603174603 0.645383882522583 2.8147170421488272e-05 0.3655138909816742 0.8276743076741695
15 140 0.7111111111111111 0.6282196044921875 2.1078413626773546e-05 0.33809009194374084 0.8325855515897274
16 150 0.7619047619047619 0.602206802368164 1.4790341733986085e-05 0.3583182990550995 0.8397377617657185
17 160 0.8126984126984127 0.5957026004791259 9.452689650664515e-06 0.3788113296031952 0.8424368388950825
18 170 0.8634920634920635 0.5803478240966797 5.209537453863289e-06 0.34813615679740906 0.8462515577673912
19 180 0.9142857142857143 0.5834349155426025 2.1754212141102346e-06 0.3094688653945923 0.8446752935647964
20 190 0.9650793650793651 0.5862775802612304 4.322413053509944e-07 0.35028040409088135 0.8439742468297482