Llama-3.2-11B-Vision-Instruct


Find this model in the Llama3.2 model summary

Llama-3.2-11B-Vision-Instruct Model Set Plots

Llama3.2 Compared to Base Model Plots

Llama-3.2-11B-Vision-Instruct Model Selected Details
id layer_type N M Q alpha D alpha-hat num_spikes warning
1 dense 7680 4096 1.875000 3.269741 0.029633 2.192082 149
2 conv2d 1280 3 426.666667 6.373472 0.054818 -13.110176 47 under-trained
3 dense 1280 1280 1.000000 2.545296 0.042236 0.614319 46
4 dense 1280 1280 1.000000 1.301391 0.041804 1.067313 727 over-trained
5 dense 1280 1280 1.000000 2.251098 0.088377 -0.491387 142
6 dense 1280 1280 1.000000 1.820194 0.082968 0.550975 70 over-trained
7 dense 5120 1280 4.000000 2.514296 0.034160 1.399823 99
8 dense 5120 1280 4.000000 2.382229 0.019590 2.220256 65
9 dense 1280 1280 1.000000 3.564515 0.080402 -1.214209 81
10 dense 1280 1280 1.000000 3.999577 0.088336 -2.058816 63
11 dense 1280 1280 1.000000 3.145919 0.078417 -1.201440 134
12 dense 1280 1280 1.000000 3.317776 0.093370 -1.471603 119
13 dense 5120 1280 4.000000 4.787225 0.068533 -1.520852 99
14 dense 5120 1280 4.000000 4.741083 0.055836 -0.703231 71
15 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
16 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
17 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
18 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
19 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
20 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
21 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
22 dense 1280 1280 1.000000 2.683980 0.086506 -0.989466 61
23 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
24 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
25 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
26 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
27 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
28 dense 5120 1280 4.000000 4.384247 0.043469 -0.746194 87
29 dense 1280 1280 1.000000 2.960914 0.084778 -1.815842 117
30 dense 5120 1280 4.000000 4.518219 0.085590 -1.558221 137
31 dense 1280 1280 1.000000 3.323159 0.097292 -1.568238 151
32 dense 1280 1280 1.000000 4.604640 0.069126 -2.863413 42
33 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
34 dense 5120 1280 4.000000 2.203295 0.040348 1.395921 146
35 dense 5120 1280 4.000000 3.010237 0.024633 2.539573 47
36 dense 1280 1280 1.000000 1.898266 0.069903 -0.204753 83 over-trained
37 dense 1280 1280 1.000000 2.502632 0.094995 -0.612197 105
38 dense 1280 1280 1.000000 1.967720 0.070648 -0.051130 71 over-trained
39 dense 1280 1280 1.000000 2.765974 0.094467 -1.746220 164
40 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
41 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
42 dense 5120 1280 4.000000 2.506064 0.024542 2.906495 85
43 dense 1280 1280 1.000000 3.507024 0.044603 0.464330 45
44 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
45 dense 1280 1280 1.000000 1.515720 0.079936 -0.029655 493 over-trained
46 dense 1280 1280 1.000000 1.355424 0.039839 0.486188 631 over-trained
47 dense 1280 1280 1.000000 2.303219 0.086857 0.028780 87
48 dense 1280 1280 1.000000 1.363337 0.039615 0.255536 614 over-trained
49 dense 1280 1280 1.000000 3.610152 0.033347 -0.165683 38
50 dense 1280 1280 1.000000 3.571400 0.026765 0.112314 46
51 dense 5120 1280 4.000000 1.509925 0.074240 1.171670 796 over-trained
52 dense 5120 1280 4.000000 4.252967 0.087114 -1.392011 147
53 dense 5120 1280 4.000000 4.477445 0.057113 -0.750778 83
54 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
55 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
56 dense 1280 1280 1.000000 3.039837 0.096071 -0.260953 105
57 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
58 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
59 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
60 dense 14336 4096 3.500000 4.533036 0.024883 3.952838 461
61 dense 5120 1280 4.000000 2.588279 0.018609 1.451485 85
62 dense 14336 4096 3.500000 5.023506 0.025624 3.054506 404
63 dense 1280 1280 1.000000 1.369852 0.048050 0.511362 635 over-trained
64 dense 1280 1280 1.000000 1.902370 0.096207 0.441883 269 over-trained
65 dense 14336 4096 3.500000 4.309320 0.021445 3.454991 471
66 dense 1280 1280 1.000000 1.353120 0.049272 0.391589 683 over-trained
67 dense 1280 1280 1.000000 1.775889 0.088261 0.102892 284 over-trained
68 dense 5120 1280 4.000000 1.526912 0.089666 0.962187 805 over-trained
69 dense 4096 1024 4.000000 3.527939 0.035919 -1.077962 78
70 dense 4096 4096 1.000000 3.161390 0.023371 2.688327 161
71 dense 4096 4096 1.000000 3.761875 0.037057 1.639904 256
72 dense 4096 1024 4.000000 3.076280 0.047137 0.169507 87
73 dense 1280 1280 1.000000 4.047555 0.087469 -1.857005 63
74 dense 1280 1280 1.000000 3.344276 0.112514 -1.269240 117
75 dense 1280 1280 1.000000 4.223088 0.076855 -2.489108 65
76 dense 1280 1280 1.000000 2.562781 0.106927 -0.938458 201
77 dense 5120 1280 4.000000 4.116610 0.086174 -1.105724 134
78 dense 5120 1280 4.000000 4.631869 0.060404 -0.730767 80
79 dense 5120 1280 4.000000 2.598704 0.023855 2.270639 79
80 dense 1280 1280 1.000000 1.371318 0.042399 0.277767 623 over-trained
81 dense 1280 1280 1.000000 2.006125 0.094863 -0.197655 207
82 dense 1280 1280 1.000000 1.346884 0.050023 0.377921 680 over-trained
83 dense 1280 1280 1.000000 2.241964 0.087558 -0.086024 120
84 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
85 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
86 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
87 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
88 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
89 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
90 dense 5120 1280 4.000000 3.632750 0.101880 -1.322808 203
91 dense 1280 1280 1.000000 3.569281 0.102534 -2.260596 127
92 dense 1280 1280 1.000000 3.471660 0.089412 -2.342602 84
93 dense 1280 1280 1.000000 3.628514 0.089357 -2.155762 111
94 dense 1280 1280 1.000000 3.061597 0.084272 -2.006372 110
95 dense 5120 1280 4.000000 4.590547 0.066889 -1.063461 87
96 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
97 dense 5120 1280 4.000000 2.730731 0.030822 2.854359 54
98 dense 5120 1280 4.000000 3.865252 0.072228 -1.272442 107
99 dense 1280 1280 1.000000 1.947235 0.081744 -0.124997 162 over-trained
100 dense 1280 1280 1.000000 1.331940 0.054480 0.397369 804 over-trained
101 dense 1280 1280 1.000000 2.058718 0.083932 -0.130931 156
102 dense 1280 1280 1.000000 1.344795 0.053314 0.250804 807 over-trained
103 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
104 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
105 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
106 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
107 dense 4096 1024 4.000000 4.269250 0.032040 7.525654 72
108 dense 4096 4096 1.000000 4.118466 0.029067 4.648287 185
109 dense 4096 1024 4.000000 9.128731 0.055300 1.193925 41 under-trained
110 dense 5120 1280 4.000000 2.703200 0.028814 1.567903 65
111 dense 5120 1280 4.000000 2.983713 0.027150 2.243249 45
112 dense 1280 1280 1.000000 4.214234 0.098787 -2.976377 66
113 dense 1280 1280 1.000000 3.497375 0.110729 -2.102501 130
114 dense 1280 1280 1.000000 3.602481 0.103987 -2.595266 113
115 dense 5120 1280 4.000000 4.228764 0.066033 -0.872582 102
116 dense 1280 1280 1.000000 5.285520 0.080981 -3.140947 38
117 dense 5120 1280 4.000000 2.711864 0.024600 2.051626 63
118 dense 5120 1280 4.000000 2.866897 0.025898 2.665446 44
119 dense 1280 1280 1.000000 1.325538 0.078991 0.056986 857 over-trained
120 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
121 dense 1280 1280 1.000000 1.311575 0.087094 0.184135 892 over-trained
122 dense 1280 1280 1.000000 3.756380 0.090338 -3.164891 81
123 dense 1280 1280 1.000000 2.620966 0.074227 -0.434926 86
124 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
125 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
126 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
127 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
128 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
129 dense 1280 1280 1.000000 3.279379 0.099593 -1.940817 143
130 dense 1280 1280 1.000000 3.327361 0.109331 -2.712772 140
131 dense 1280 1280 1.000000 3.485884 0.098861 -2.192620 115
132 dense 5120 1280 4.000000 8.429718 0.068168 -21.430038 120 under-trained
133 dense 5120 1280 4.000000 10.166839 0.037439 -29.813255 48 under-trained
134 dense 1280 1280 1.000000 2.765675 0.076908 -0.571797 72
135 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
136 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
137 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
138 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
139 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
140 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
141 dense 1280 1280 1.000000 2.924666 0.081340 -0.454013 47
142 dense 1280 1280 1.000000 1.308119 0.107003 0.213705 909 over-trained
143 dense 1280 1280 1.000000 2.731298 0.080637 -0.300094 74
144 dense 1280 1280 1.000000 1.318437 0.098604 0.132931 898 over-trained
145 dense 5120 1280 4.000000 2.996444 0.029673 2.084701 50
146 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
147 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
148 dense 5120 1280 4.000000 2.677985 0.022527 1.246120 93
149 dense 1280 1280 1.000000 2.539171 0.073415 -1.058031 118
150 dense 1280 1280 1.000000 3.918430 0.072616 -2.147267 51
168 dense 1280 1280 1.000000 3.418807 0.072692 -0.607177 40
151 dense 1280 1280 1.000000 2.440062 0.074192 -1.045017 125
152 dense 1280 1280 1.000000 2.958806 0.104397 -1.663900 158
153 dense 5120 1280 4.000000 2.789005 0.018923 -1.404426 80
154 dense 5120 1280 4.000000 2.831017 0.044771 -1.695887 86
155 dense 1280 1280 1.000000 2.179102 0.099186 -0.490115 227
156 dense 1280 1280 1.000000 3.019859 0.078229 -0.074942 48
157 dense 1280 1280 1.000000 3.346564 0.058325 0.226331 37
158 dense 1280 1280 1.000000 2.600830 0.083399 -0.576950 104
159 dense 5120 1280 4.000000 2.744533 0.041223 1.002390 98
160 dense 4096 1024 4.000000 3.600158 0.028030 -0.108280 48
161 dense 4096 4096 1.000000 3.802912 0.019851 0.991354 135
162 dense 5120 1280 4.000000 3.222846 0.036876 1.745825 48
163 dense 4096 1024 4.000000 3.253854 0.080830 -1.463779 132
164 dense 14336 4096 3.500000 4.983879 0.013205 2.460208 280
165 dense 14336 4096 3.500000 3.846131 0.020279 3.005484 502
166 dense 14336 4096 3.500000 3.851878 0.018715 3.135702 463
167 dense 4096 4096 1.000000 3.516102 0.021508 1.498579 110
169 dense 1280 1280 1.000000 2.160366 0.107827 0.279278 158
170 dense 5120 1280 4.000000 2.873425 0.036351 1.157628 76
171 dense 5120 1280 4.000000 3.060561 0.057032 1.439095 86
172 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
173 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
174 dense 1280 1280 1.000000 2.262404 0.103881 0.308392 159
175 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
176 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
177 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
178 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
179 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
180 dense 1280 1280 1.000000 2.345115 0.101598 -0.433689 158
181 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
182 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
183 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
184 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
185 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
186 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
187 dense 1280 1280 1.000000 3.164165 0.077236 -0.602415 45
188 dense 1280 1280 1.000000 2.350270 0.107909 0.082011 134
189 dense 1280 1280 1.000000 2.355132 0.100871 0.274015 126
190 dense 5120 1280 4.000000 2.522772 0.044407 1.111139 156
191 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
192 dense 5120 1280 4.000000 3.279978 0.056837 1.796600 56
193 dense 1280 1280 1.000000 2.094191 0.094957 -0.357866 232
194 dense 1280 1280 1.000000 2.399964 0.104616 0.162368 135
195 dense 1280 1280 1.000000 2.531787 0.080960 -0.376639 131
196 dense 1280 1280 1.000000 2.226137 0.096473 0.149135 160
197 dense 1280 1280 1.000000 2.284200 0.100837 -0.517178 193
198 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
199 dense 5120 1280 4.000000 2.870681 0.031758 1.636479 59
200 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
201 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
202 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
203 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
204 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
205 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
206 dense 5120 1280 4.000000 3.804944 0.052512 1.658355 35
207 dense 5120 1280 4.000000 2.736318 0.028633 1.494242 127
208 dense 5120 1280 4.000000 3.559777 0.042337 1.384194 64
209 dense 1280 1280 1.000000 2.910117 0.066700 -0.109051 65
210 dense 1280 1280 1.000000 3.133728 0.050283 -0.399121 51
211 dense 1280 1280 1.000000 3.744886 0.049456 0.091686 32
212 dense 1280 1280 1.000000 2.218557 0.093646 -0.460353 237
213 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
214 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
215 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
216 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
217 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
218 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
219 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
220 dense 1280 1280 1.000000 3.575348 0.054606 -0.146724 36
221 dense 4096 1024 4.000000 3.410483 0.072517 -0.696991 98
222 dense 4096 4096 1.000000 3.606867 0.024934 1.238141 122
223 dense 1280 1280 1.000000 2.790510 0.063972 -0.562550 89
224 dense 1280 1280 1.000000 3.098824 0.066082 -0.180707 51
225 dense 1280 1280 1.000000 3.575944 0.063430 -0.910747 40
226 dense 4096 4096 1.000000 3.635339 0.030835 1.820214 100
227 dense 4096 1024 4.000000 3.000966 0.098200 -1.311903 178
228 dense 14336 4096 3.500000 4.450863 0.018380 2.312085 275
229 dense 14336 4096 3.500000 3.601910 0.013130 3.017093 525
230 dense 14336 4096 3.500000 3.612485 0.011581 3.154709 470
231 dense 5120 1280 4.000000 3.398120 0.048711 0.825312 108
232 dense 5120 1280 4.000000 2.608505 0.037090 1.160405 204
233 dense 5120 1280 4.000000 3.771845 0.043421 0.947576 67
234 dense 5120 1280 4.000000 2.696243 0.042584 0.980049 161
235 dense 1280 1280 1.000000 2.113649 0.109288 -0.276654 269
236 dense 1280 1280 1.000000 3.381066 0.071549 -0.924712 43
237 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
238 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
239 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
240 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
241 dense 1280 1280 1.000000 3.305572 0.068704 -0.431957 59
242 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
243 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
244 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
245 dense 1280 1280 1.000000 3.447251 0.082028 -0.846485 60
246 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
247 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
248 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
249 dense 1280 1280 1.000000 3.099099 0.074782 -0.392297 63
250 dense 5120 1280 4.000000 2.620792 0.037038 0.827318 218
251 dense 1280 1280 1.000000 3.239703 0.087016 -0.865822 71
252 dense 1280 1280 1.000000 2.430742 0.071477 -0.790083 164
253 dense 1280 1280 1.000000 2.270894 0.088749 -0.962476 221
254 dense 5120 1280 4.000000 3.522596 0.061151 0.665362 110
255 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
256 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
257 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
258 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
259 dense 1280 1280 1.000000 2.627136 0.085201 -1.225293 146
260 dense 1280 1280 1.000000 3.244377 0.078202 -0.713002 62
261 dense 1280 1280 1.000000 2.506755 0.065874 -0.922394 155
262 dense 1280 1280 1.000000 3.297909 0.089964 -1.222818 81
263 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
264 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
265 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
266 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
267 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
268 dense 5120 1280 4.000000 2.674700 0.035440 0.742588 208
269 dense 5120 1280 4.000000 4.141859 0.049342 0.709718 58
270 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
271 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
272 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
273 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
274 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
275 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
276 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
277 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
278 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
279 dense 1280 1280 1.000000 2.706504 0.073710 -0.777533 141
280 dense 1280 1280 1.000000 2.590572 0.078960 -1.208418 166
281 dense 1280 1280 1.000000 2.803548 0.075862 -0.880423 105
282 dense 1280 1280 1.000000 2.812028 0.092961 -1.006679 129
283 dense 5120 1280 4.000000 2.900880 0.022233 0.687955 177
284 dense 5120 1280 4.000000 4.594664 0.034493 0.484132 41
285 dense 5120 1280 4.000000 3.071584 0.023865 0.497299 156
286 dense 14336 4096 3.500000 3.870671 0.016767 3.374391 439
287 dense 14336 4096 3.500000 3.820221 0.019257 3.361971 496
288 dense 14336 4096 3.500000 4.852914 0.019519 2.266774 119
289 dense 4096 1024 4.000000 4.109997 0.080268 -2.105454 70
290 dense 4096 1024 4.000000 4.617590 0.052408 -0.527161 32
291 dense 4096 4096 1.000000 4.082045 0.030112 0.921330 92
292 dense 1280 1280 1.000000 2.437368 0.084907 -1.286647 247
293 dense 1280 1280 1.000000 2.976314 0.100342 -1.207750 122
294 dense 5120 1280 4.000000 4.241737 0.042590 0.274497 87
295 dense 4096 4096 1.000000 3.793519 0.025732 1.534017 92
296 dense 1280 1280 1.000000 2.501083 0.087444 -0.786077 187
297 dense 1280 1280 1.000000 2.814136 0.053046 -1.109640 105
298 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
299 dense 1280 1280 1.000000 3.393136 0.092268 -2.229850 120
300 dense 1280 1280 1.000000 3.759365 0.076216 -1.310775 47
301 dense 1280 1280 1.000000 3.735319 0.047592 -2.016140 38
302 dense 1280 1280 1.000000 3.657435 0.096874 -1.370420 96
303 dense 5120 1280 4.000000 3.409857 0.024127 0.156453 144
304 dense 5120 1280 4.000000 5.501067 0.026648 0.117056 35
305 dense 14336 4096 3.500000 -1.000000 -1.000000 inf -1 over-trained
306 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
307 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
308 dense 4096 4096 1.000000 -1.000000 -1.000000 inf -1 over-trained
309 dense 4096 1024 4.000000 -1.000000 -1.000000 inf -1 over-trained
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