Find this model in the SmolLM-base model summary
id | layer_type | N | M | Q | alpha | D | alpha-hat | num_spikes | warning |
---|---|---|---|---|---|---|---|---|---|
1 | dense | 49152 | 576 | 85.333333 | 4.391896 | 0.074625 | 24.554568 | 312 | |
2 | dense | 1536 | 576 | 2.666667 | 2.615401 | 0.055524 | 8.572821 | 293 | |
3 | dense | 1536 | 576 | 2.666667 | 4.961101 | 0.069731 | 16.885506 | 95 | |
4 | dense | 1536 | 576 | 2.666667 | 8.050508 | 0.106522 | 20.007448 | 62 | under-trained |
5 | dense | 576 | 192 | 3.000000 | 1.399818 | 0.076314 | 4.861604 | 112 | over-trained |
6 | dense | 576 | 576 | 1.000000 | 2.026620 | 0.027756 | 4.208246 | 153 | |
7 | dense | 576 | 576 | 1.000000 | 1.706559 | 0.053290 | 5.874482 | 59 | over-trained |
8 | dense | 576 | 192 | 3.000000 | 3.541922 | 0.044295 | 3.380175 | 39 | |
9 | dense | 1536 | 576 | 2.666667 | 4.612890 | 0.030555 | 14.848297 | 46 | |
10 | dense | 1536 | 576 | 2.666667 | 3.571830 | 0.022125 | 10.408229 | 92 | |
11 | dense | 1536 | 576 | 2.666667 | 4.111482 | 0.052848 | 10.856731 | 99 | |
12 | dense | 576 | 192 | 3.000000 | 6.024783 | 0.055506 | 15.545371 | 20 | under-trained |
13 | dense | 576 | 576 | 1.000000 | 4.379429 | 0.043069 | 11.093598 | 31 | |
14 | dense | 576 | 576 | 1.000000 | 4.831504 | 0.039003 | 13.503404 | 30 | |
15 | dense | 576 | 192 | 3.000000 | 6.466436 | 0.091201 | 10.484891 | 27 | under-trained |
16 | dense | 576 | 576 | 1.000000 | 2.973026 | 0.111468 | 7.216326 | 74 | |
17 | dense | 1536 | 576 | 2.666667 | 3.766351 | 0.026488 | 11.381739 | 106 | |
18 | dense | 576 | 576 | 1.000000 | 3.094170 | 0.035416 | 8.833272 | 61 | |
19 | dense | 576 | 192 | 3.000000 | 4.620716 | 0.042872 | 11.847822 | 30 | |
20 | dense | 1536 | 576 | 2.666667 | 3.821405 | 0.025811 | 11.214772 | 77 | |
21 | dense | 1536 | 576 | 2.666667 | 5.521073 | 0.078423 | 14.404590 | 64 | |
22 | dense | 576 | 192 | 3.000000 | 3.906545 | 0.070504 | 7.676199 | 39 | |
23 | dense | 576 | 576 | 1.000000 | 4.390548 | 0.104430 | 10.146340 | 63 | |
24 | dense | 576 | 192 | 3.000000 | 8.153356 | 0.132478 | 14.328557 | 31 | under-trained |
25 | dense | 576 | 192 | 3.000000 | 3.815555 | 0.058103 | 10.286735 | 37 | |
26 | dense | 576 | 576 | 1.000000 | 3.385479 | 0.045657 | 9.422384 | 58 | |
27 | dense | 1536 | 576 | 2.666667 | 4.784410 | 0.030447 | 14.186979 | 64 | |
28 | dense | 1536 | 576 | 2.666667 | 6.210674 | 0.104802 | 15.644924 | 76 | under-trained |
29 | dense | 1536 | 576 | 2.666667 | 4.201700 | 0.033312 | 12.227357 | 82 | |
30 | dense | 1536 | 576 | 2.666667 | 6.563084 | 0.042414 | 19.186253 | 36 | under-trained |
31 | dense | 576 | 576 | 1.000000 | 3.649678 | 0.034475 | 10.447209 | 44 | |
32 | dense | 1536 | 576 | 2.666667 | 10.118526 | 0.101479 | 25.199476 | 38 | under-trained |
33 | dense | 576 | 192 | 3.000000 | 4.699040 | 0.042546 | 12.651979 | 21 | |
34 | dense | 576 | 192 | 3.000000 | 6.543903 | 0.127135 | 11.987276 | 32 | under-trained |
35 | dense | 1536 | 576 | 2.666667 | 4.275366 | 0.039064 | 12.743833 | 92 | |
36 | dense | 576 | 576 | 1.000000 | 2.884460 | 0.116762 | 6.545374 | 108 | |
37 | dense | 1536 | 576 | 2.666667 | 4.656364 | 0.046555 | 13.746181 | 89 | |
38 | dense | 1536 | 576 | 2.666667 | 5.385506 | 0.119109 | 16.196906 | 105 | |
39 | dense | 1536 | 576 | 2.666667 | 8.789939 | 0.118991 | 21.792920 | 53 | under-trained |
40 | dense | 576 | 192 | 3.000000 | 5.403707 | 0.048697 | 14.143083 | 19 | |
41 | dense | 576 | 576 | 1.000000 | 4.522768 | 0.035389 | 11.695769 | 30 | |
42 | dense | 576 | 192 | 3.000000 | 5.198104 | 0.085049 | 9.404426 | 40 | |
43 | dense | 576 | 576 | 1.000000 | 3.710832 | 0.028733 | 10.546032 | 48 | |
44 | dense | 1536 | 576 | 2.666667 | 5.398197 | 0.044028 | 16.064977 | 64 | |
45 | dense | 1536 | 576 | 2.666667 | 5.921676 | 0.124975 | 14.818456 | 104 | |
46 | dense | 1536 | 576 | 2.666667 | 5.703782 | 0.076814 | 17.224909 | 64 | |
47 | dense | 576 | 192 | 3.000000 | 5.442669 | 0.051765 | 13.474418 | 26 | |
48 | dense | 576 | 576 | 1.000000 | 3.986691 | 0.114957 | 9.035419 | 76 | |
49 | dense | 576 | 576 | 1.000000 | 3.855397 | 0.047137 | 10.697914 | 50 | |
50 | dense | 576 | 192 | 3.000000 | 6.075094 | 0.117133 | 11.060328 | 34 | under-trained |
51 | dense | 1536 | 576 | 2.666667 | 5.264386 | 0.022325 | 15.469837 | 63 | |
52 | dense | 1536 | 576 | 2.666667 | 8.681634 | 0.106265 | 22.423508 | 59 | under-trained |
53 | dense | 1536 | 576 | 2.666667 | 6.126038 | 0.052091 | 19.449392 | 52 | under-trained |
54 | dense | 576 | 192 | 3.000000 | 4.755669 | 0.039464 | 12.252137 | 24 | |
55 | dense | 576 | 576 | 1.000000 | 3.357590 | 0.120027 | 8.105081 | 97 | |
56 | dense | 576 | 576 | 1.000000 | 3.577982 | 0.040873 | 10.081669 | 36 | |
57 | dense | 576 | 192 | 3.000000 | 5.564016 | 0.130920 | 10.335113 | 43 | |
58 | dense | 576 | 576 | 1.000000 | 4.957660 | 0.056304 | 11.712162 | 25 | |
59 | dense | 1536 | 576 | 2.666667 | 4.732222 | 0.024287 | 13.961007 | 65 | |
60 | dense | 1536 | 576 | 2.666667 | 10.134968 | 0.099911 | 25.821890 | 40 | under-trained |
61 | dense | 576 | 192 | 3.000000 | 5.957710 | 0.060085 | 15.273171 | 22 | |
62 | dense | 1536 | 576 | 2.666667 | 5.538546 | 0.044276 | 17.231217 | 55 | |
63 | dense | 576 | 576 | 1.000000 | 4.129615 | 0.038132 | 11.532313 | 37 | |
64 | dense | 576 | 192 | 3.000000 | 5.217105 | 0.139145 | 9.541032 | 54 | |
65 | dense | 576 | 576 | 1.000000 | 3.120220 | 0.078513 | 7.491822 | 59 | |
66 | dense | 576 | 576 | 1.000000 | 3.242976 | 0.032548 | 9.514883 | 49 | |
67 | dense | 1536 | 576 | 2.666667 | 8.030138 | 0.030687 | 22.057920 | 30 | under-trained |
68 | dense | 576 | 192 | 3.000000 | 4.670282 | 0.057791 | 11.498822 | 24 | |
69 | dense | 1536 | 576 | 2.666667 | 5.923995 | 0.071714 | 18.543980 | 62 | |
70 | dense | 1536 | 576 | 2.666667 | 4.731223 | 0.029218 | 13.745389 | 62 | |
71 | dense | 576 | 192 | 3.000000 | 3.841298 | 0.090008 | 7.571978 | 41 | |
72 | dense | 1536 | 576 | 2.666667 | 4.991564 | 0.031174 | 15.342827 | 44 | |
73 | dense | 1536 | 576 | 2.666667 | 7.754709 | 0.101779 | 20.012371 | 52 | under-trained |
74 | dense | 576 | 192 | 3.000000 | 9.714696 | 0.131002 | 16.212402 | 32 | under-trained |
75 | dense | 576 | 192 | 3.000000 | 3.588119 | 0.054653 | 9.517946 | 25 | |
76 | dense | 576 | 576 | 1.000000 | 7.773132 | 0.112119 | 17.801719 | 28 | under-trained |
77 | dense | 576 | 576 | 1.000000 | 2.788711 | 0.056017 | 8.091505 | 66 | |
78 | dense | 1536 | 576 | 2.666667 | 3.663641 | 0.027728 | 10.647423 | 91 | |
79 | dense | 576 | 192 | 3.000000 | 4.143128 | 0.054901 | 11.074591 | 24 | |
80 | dense | 1536 | 576 | 2.666667 | 3.857357 | 0.026379 | 11.840092 | 67 | |
81 | dense | 1536 | 576 | 2.666667 | 4.841128 | 0.055382 | 14.920702 | 56 | |
82 | dense | 576 | 576 | 1.000000 | 3.071090 | 0.050339 | 8.843825 | 54 | |
83 | dense | 576 | 576 | 1.000000 | 3.904693 | 0.132490 | 8.472630 | 94 | |
84 | dense | 576 | 192 | 3.000000 | 5.834073 | 0.148288 | 9.862142 | 53 | |
85 | dense | 1536 | 576 | 2.666667 | 6.710383 | 0.050272 | 19.851185 | 51 | under-trained |
86 | dense | 1536 | 576 | 2.666667 | 3.973747 | 0.089073 | 12.218237 | 118 | |
87 | dense | 1536 | 576 | 2.666667 | 3.823918 | 0.050042 | 10.693748 | 84 | |
88 | dense | 1536 | 576 | 2.666667 | 6.759293 | 0.032660 | 19.105644 | 33 | under-trained |
89 | dense | 576 | 576 | 1.000000 | 4.029789 | 0.043543 | 10.097704 | 49 | |
90 | dense | 576 | 192 | 3.000000 | 5.699360 | 0.079306 | 11.101027 | 34 | |
91 | dense | 576 | 576 | 1.000000 | 3.179307 | 0.043350 | 8.993045 | 52 | |
92 | dense | 576 | 192 | 3.000000 | 5.022365 | 0.063791 | 11.716233 | 23 | |
93 | dense | 576 | 576 | 1.000000 | 2.155700 | 0.090001 | 6.339427 | 137 | |
94 | dense | 1536 | 576 | 2.666667 | 3.510043 | 0.063134 | 10.145622 | 90 | |
95 | dense | 1536 | 576 | 2.666667 | 7.484659 | 0.066510 | 20.246251 | 40 | under-trained |
96 | dense | 576 | 192 | 3.000000 | 4.705359 | 0.058293 | 11.324103 | 29 | |
97 | dense | 1536 | 576 | 2.666667 | 4.368991 | 0.037493 | 13.572240 | 46 | |
98 | dense | 576 | 192 | 3.000000 | 5.918847 | 0.093698 | 11.649730 | 33 | |
99 | dense | 576 | 576 | 1.000000 | 4.626521 | 0.096058 | 11.088542 | 45 | |
100 | dense | 1536 | 576 | 2.666667 | 4.197121 | 0.044218 | 13.202278 | 63 | |
101 | dense | 576 | 192 | 3.000000 | 4.129705 | 0.095403 | 8.431629 | 38 | |
102 | dense | 1536 | 576 | 2.666667 | 5.991069 | 0.095915 | 16.022950 | 69 | |
103 | dense | 576 | 192 | 3.000000 | 1.748609 | 0.105888 | 4.190626 | 73 | over-trained |
104 | dense | 576 | 576 | 1.000000 | 2.673026 | 0.097233 | 6.460315 | 90 | |
105 | dense | 1536 | 576 | 2.666667 | 3.389542 | 0.065230 | 9.765521 | 87 | |
106 | dense | 576 | 576 | 1.000000 | 1.939592 | 0.085752 | 5.251076 | 80 | over-trained |
107 | dense | 576 | 192 | 3.000000 | 2.093864 | 0.158177 | 5.021736 | 99 | |
108 | dense | 1536 | 576 | 2.666667 | 3.056676 | 0.070591 | 8.502097 | 134 | |
109 | dense | 1536 | 576 | 2.666667 | 4.979969 | 0.034311 | 15.277668 | 33 | |
110 | dense | 576 | 576 | 1.000000 | 2.972461 | 0.094788 | 8.331182 | 65 | |
111 | dense | 576 | 576 | 1.000000 | 3.579005 | 0.088688 | 8.816122 | 54 | |
112 | dense | 576 | 192 | 3.000000 | 3.849240 | 0.132133 | 7.906828 | 65 | |
113 | dense | 1536 | 576 | 2.666667 | 5.189767 | 0.110156 | 13.939789 | 88 | |
114 | dense | 576 | 192 | 3.000000 | 3.959046 | 0.077949 | 9.580030 | 25 | |
115 | dense | 576 | 192 | 3.000000 | 5.541990 | 0.089110 | 11.519320 | 32 | |
116 | dense | 576 | 576 | 1.000000 | 2.301259 | 0.111202 | 6.525560 | 119 | |
117 | dense | 576 | 576 | 1.000000 | 4.217776 | 0.115921 | 9.992190 | 65 | |
118 | dense | 1536 | 576 | 2.666667 | 3.353377 | 0.070456 | 9.255681 | 93 | |
119 | dense | 1536 | 576 | 2.666667 | 4.592267 | 0.103697 | 12.114270 | 103 | |
120 | dense | 1536 | 576 | 2.666667 | 4.708622 | 0.050420 | 14.604289 | 48 | |
121 | dense | 1536 | 576 | 2.666667 | 4.063959 | 0.052987 | 12.119351 | 61 | |
122 | dense | 576 | 576 | 1.000000 | 1.995574 | 0.110560 | 5.458580 | 147 | over-trained |
123 | dense | 1536 | 576 | 2.666667 | 5.380243 | 0.116748 | 14.299279 | 91 | |
124 | dense | 576 | 192 | 3.000000 | 3.601276 | 0.147612 | 7.901210 | 35 | |
125 | dense | 576 | 576 | 1.000000 | 4.675455 | 0.105135 | 11.773262 | 45 | |
126 | dense | 576 | 192 | 3.000000 | 4.851456 | 0.127994 | 9.892509 | 50 | |
127 | dense | 1536 | 576 | 2.666667 | 3.449362 | 0.067166 | 9.658396 | 88 | |
128 | dense | 1536 | 576 | 2.666667 | 4.848756 | 0.026043 | 14.320599 | 54 | |
129 | dense | 1536 | 576 | 2.666667 | 6.670880 | 0.098096 | 18.225546 | 52 | under-trained |
130 | dense | 1536 | 576 | 2.666667 | 4.316696 | 0.055875 | 12.301592 | 45 | |
131 | dense | 576 | 192 | 3.000000 | 2.112457 | 0.119972 | 4.584405 | 84 | |
132 | dense | 576 | 576 | 1.000000 | 6.077476 | 0.140633 | 14.872002 | 48 | under-trained |
133 | dense | 576 | 576 | 1.000000 | 1.819382 | 0.096763 | 4.868722 | 183 | over-trained |
134 | dense | 576 | 192 | 3.000000 | 5.648246 | 0.122679 | 11.106446 | 56 | |
135 | dense | 1536 | 576 | 2.666667 | 4.851927 | 0.035071 | 13.975807 | 54 | |
136 | dense | 1536 | 576 | 2.666667 | 4.033324 | 0.057817 | 11.214006 | 72 | |
137 | dense | 1536 | 576 | 2.666667 | 7.329712 | 0.048891 | 19.780304 | 39 | under-trained |
138 | dense | 576 | 192 | 3.000000 | 7.375818 | 0.126868 | 14.939995 | 36 | under-trained |
139 | dense | 576 | 576 | 1.000000 | 2.285648 | 0.091939 | 6.187347 | 124 | |
140 | dense | 576 | 576 | 1.000000 | 5.915482 | 0.063116 | 14.512197 | 35 | |
141 | dense | 576 | 192 | 3.000000 | 2.345192 | 0.106622 | 5.616923 | 95 | |
142 | dense | 1536 | 576 | 2.666667 | 5.616693 | 0.046698 | 16.287320 | 50 | |
143 | dense | 576 | 192 | 3.000000 | 2.376697 | 0.122582 | 5.370807 | 77 | |
144 | dense | 1536 | 576 | 2.666667 | 6.688873 | 0.074476 | 17.968578 | 46 | under-trained |
145 | dense | 1536 | 576 | 2.666667 | 4.213619 | 0.067245 | 11.755096 | 58 | |
146 | dense | 576 | 576 | 1.000000 | 6.401844 | 0.119699 | 15.719685 | 33 | under-trained |
147 | dense | 576 | 576 | 1.000000 | 2.157207 | 0.112226 | 5.802658 | 147 | |
148 | dense | 576 | 192 | 3.000000 | 5.801005 | 0.136844 | 13.060460 | 41 | |
149 | dense | 576 | 576 | 1.000000 | 5.343402 | 0.105133 | 13.104261 | 40 | |
150 | dense | 1536 | 576 | 2.666667 | 4.192593 | 0.073395 | 11.550648 | 70 | |
151 | dense | 1536 | 576 | 2.666667 | 5.907834 | 0.049809 | 16.902774 | 39 | |
152 | dense | 576 | 192 | 3.000000 | 2.781041 | 0.101616 | 6.781616 | 30 | |
153 | dense | 1536 | 576 | 2.666667 | 7.264130 | 0.101289 | 19.744135 | 51 | under-trained |
154 | dense | 576 | 576 | 1.000000 | 2.049452 | 0.072667 | 5.688950 | 118 | |
155 | dense | 576 | 192 | 3.000000 | 8.899528 | 0.151838 | 18.526541 | 30 | under-trained |
156 | dense | 576 | 576 | 1.000000 | 4.252805 | 0.121565 | 11.188396 | 88 | |
157 | dense | 576 | 576 | 1.000000 | 1.784523 | 0.079167 | 4.756864 | 158 | over-trained |
158 | dense | 1536 | 576 | 2.666667 | 5.724713 | 0.106626 | 15.756796 | 83 | |
159 | dense | 1536 | 576 | 2.666667 | 4.642165 | 0.052089 | 12.720645 | 47 | |
160 | dense | 1536 | 576 | 2.666667 | 5.536375 | 0.041906 | 15.908639 | 43 | |
161 | dense | 576 | 192 | 3.000000 | 2.178448 | 0.126845 | 4.969888 | 56 | |
162 | dense | 576 | 192 | 3.000000 | 4.525081 | 0.134032 | 9.794136 | 65 | |
163 | dense | 576 | 192 | 3.000000 | 5.488702 | 0.134362 | 13.569269 | 34 | |
164 | dense | 576 | 576 | 1.000000 | 1.788099 | 0.083984 | 4.699198 | 164 | over-trained |
165 | dense | 576 | 576 | 1.000000 | 2.444789 | 0.108155 | 6.867983 | 120 | |
166 | dense | 576 | 192 | 3.000000 | 2.067259 | 0.133572 | 4.627302 | 59 | |
167 | dense | 1536 | 576 | 2.666667 | 6.279029 | 0.125840 | 17.029544 | 81 | under-trained |
168 | dense | 1536 | 576 | 2.666667 | 4.261316 | 0.038761 | 11.997629 | 61 | |
169 | dense | 1536 | 576 | 2.666667 | 6.719692 | 0.068259 | 18.861836 | 51 | under-trained |
170 | dense | 1536 | 576 | 2.666667 | 5.341616 | 0.129901 | 14.602431 | 113 | |
171 | dense | 576 | 192 | 3.000000 | 2.420888 | 0.108150 | 5.656879 | 89 | |
172 | dense | 576 | 192 | 3.000000 | 2.531378 | 0.135514 | 5.753276 | 135 | |
173 | dense | 576 | 576 | 1.000000 | 2.514242 | 0.077355 | 6.930889 | 96 | |
174 | dense | 576 | 576 | 1.000000 | 4.685231 | 0.098924 | 12.787568 | 57 | |
175 | dense | 1536 | 576 | 2.666667 | 4.412583 | 0.057322 | 11.803065 | 73 | |
176 | dense | 1536 | 576 | 2.666667 | 6.989747 | 0.113272 | 18.708797 | 55 | under-trained |
177 | dense | 1536 | 576 | 2.666667 | 7.805273 | 0.067343 | 21.199179 | 47 | under-trained |
178 | dense | 1536 | 576 | 2.666667 | 4.475922 | 0.063279 | 11.862229 | 64 | |
179 | dense | 576 | 576 | 1.000000 | 2.487384 | 0.127684 | 7.341352 | 153 | |
180 | dense | 576 | 576 | 1.000000 | 2.195550 | 0.052326 | 5.961587 | 108 | |
181 | dense | 576 | 192 | 3.000000 | 6.260796 | 0.080189 | 15.069097 | 20 | under-trained |
182 | dense | 576 | 192 | 3.000000 | 2.095049 | 0.068984 | 5.248686 | 65 | |
183 | dense | 1536 | 576 | 2.666667 | 6.477500 | 0.108009 | 17.164270 | 65 | under-trained |
184 | dense | 1536 | 576 | 2.666667 | 6.131507 | 0.118246 | 16.246524 | 75 | under-trained |
185 | dense | 1536 | 576 | 2.666667 | 4.536781 | 0.049613 | 12.121291 | 64 | |
186 | dense | 576 | 192 | 3.000000 | 5.540863 | 0.142030 | 12.885692 | 46 | |
187 | dense | 576 | 576 | 1.000000 | 2.228613 | 0.055602 | 6.122483 | 82 | |
188 | dense | 576 | 576 | 1.000000 | 5.243431 | 0.065507 | 15.879593 | 37 | |
189 | dense | 576 | 192 | 3.000000 | 1.971672 | 0.058053 | 4.924659 | 76 | over-trained |
190 | dense | 1536 | 576 | 2.666667 | 6.746415 | 0.130981 | 18.119958 | 80 | under-trained |
191 | dense | 1536 | 576 | 2.666667 | 5.921696 | 0.087080 | 15.748853 | 58 | |
192 | dense | 576 | 192 | 3.000000 | 3.657910 | 0.050680 | 8.573825 | 20 | |
193 | dense | 1536 | 576 | 2.666667 | 5.743891 | 0.125757 | 15.176359 | 90 | |
194 | dense | 576 | 576 | 1.000000 | 4.807908 | 0.027311 | 13.195181 | 44 | |
195 | dense | 1536 | 576 | 2.666667 | 4.105240 | 0.045848 | 10.983016 | 84 | |
196 | dense | 576 | 192 | 3.000000 | 7.921733 | 0.045144 | 18.026360 | 20 | under-trained |
197 | dense | 576 | 576 | 1.000000 | 2.778200 | 0.029426 | 7.932200 | 54 | |
198 | dense | 1536 | 576 | 2.666667 | 3.878411 | 0.019108 | 13.554895 | 74 | |
199 | dense | 576 | 576 | 1.000000 | 8.319101 | 0.126893 | 20.494279 | 37 | under-trained |
200 | dense | 576 | 192 | 3.000000 | 3.307959 | 0.057987 | 7.512661 | 26 | |
201 | dense | 1536 | 576 | 2.666667 | 8.164661 | 0.120787 | 20.933713 | 57 | under-trained |
202 | dense | 576 | 576 | 1.000000 | 2.662942 | 0.036757 | 7.491100 | 63 | |
203 | dense | 1536 | 576 | 2.666667 | 4.453445 | 0.071554 | 16.856311 | 89 | |
204 | dense | 576 | 192 | 3.000000 | 7.327968 | 0.132519 | 15.753774 | 52 | under-trained |
205 | dense | 1536 | 576 | 2.666667 | 4.195069 | 0.034327 | 12.116874 | 64 | |
206 | dense | 1536 | 576 | 2.666667 | 5.525886 | 0.029119 | 16.833126 | 34 | |
207 | dense | 576 | 576 | 1.000000 | 2.710407 | 0.028916 | 7.646374 | 69 | |
208 | dense | 576 | 576 | 1.000000 | 5.330814 | 0.067444 | 14.592259 | 40 | |
209 | dense | 1536 | 576 | 2.666667 | 3.814375 | 0.028032 | 11.939186 | 81 | |
210 | dense | 576 | 192 | 3.000000 | 9.811419 | 0.126568 | 20.643162 | 38 | under-trained |
211 | dense | 576 | 192 | 3.000000 | 3.630028 | 0.049991 | 8.585478 | 21 |