Upload folder using huggingface_hub
Browse files- parkinsons_mlp/README.md +16 -0
- parkinsons_mlp/history.json +308 -0
- parkinsons_mlp/meta.json +7 -0
- parkinsons_mlp/model.pt +3 -0
- parkinsons_mlp/train_features.pt +3 -0
- parkinsons_mlp/val_features.pt +3 -0
parkinsons_mlp/README.md
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# parkinsons mlp
|
| 2 |
+
|
| 3 |
+
## Summary
|
| 4 |
+
- Task: regression
|
| 5 |
+
- Epochs: 100
|
| 6 |
+
- Final val loss: 0.673907
|
| 7 |
+
|
| 8 |
+
## Artifacts
|
| 9 |
+
- model.pt: model weights
|
| 10 |
+
- history.json: per-epoch training and validation metrics
|
| 11 |
+
- train_features.pt: training-set feature embeddings and targets
|
| 12 |
+
- val_features.pt: validation-set feature embeddings and targets
|
| 13 |
+
- meta.json: run metadata
|
| 14 |
+
|
| 15 |
+
## Metric Keys
|
| 16 |
+
- epoch, train_loss, val_loss
|
parkinsons_mlp/history.json
ADDED
|
@@ -0,0 +1,308 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": [
|
| 3 |
+
1,
|
| 4 |
+
2,
|
| 5 |
+
3,
|
| 6 |
+
4,
|
| 7 |
+
5,
|
| 8 |
+
6,
|
| 9 |
+
7,
|
| 10 |
+
8,
|
| 11 |
+
9,
|
| 12 |
+
10,
|
| 13 |
+
11,
|
| 14 |
+
12,
|
| 15 |
+
13,
|
| 16 |
+
14,
|
| 17 |
+
15,
|
| 18 |
+
16,
|
| 19 |
+
17,
|
| 20 |
+
18,
|
| 21 |
+
19,
|
| 22 |
+
20,
|
| 23 |
+
21,
|
| 24 |
+
22,
|
| 25 |
+
23,
|
| 26 |
+
24,
|
| 27 |
+
25,
|
| 28 |
+
26,
|
| 29 |
+
27,
|
| 30 |
+
28,
|
| 31 |
+
29,
|
| 32 |
+
30,
|
| 33 |
+
31,
|
| 34 |
+
32,
|
| 35 |
+
33,
|
| 36 |
+
34,
|
| 37 |
+
35,
|
| 38 |
+
36,
|
| 39 |
+
37,
|
| 40 |
+
38,
|
| 41 |
+
39,
|
| 42 |
+
40,
|
| 43 |
+
41,
|
| 44 |
+
42,
|
| 45 |
+
43,
|
| 46 |
+
44,
|
| 47 |
+
45,
|
| 48 |
+
46,
|
| 49 |
+
47,
|
| 50 |
+
48,
|
| 51 |
+
49,
|
| 52 |
+
50,
|
| 53 |
+
51,
|
| 54 |
+
52,
|
| 55 |
+
53,
|
| 56 |
+
54,
|
| 57 |
+
55,
|
| 58 |
+
56,
|
| 59 |
+
57,
|
| 60 |
+
58,
|
| 61 |
+
59,
|
| 62 |
+
60,
|
| 63 |
+
61,
|
| 64 |
+
62,
|
| 65 |
+
63,
|
| 66 |
+
64,
|
| 67 |
+
65,
|
| 68 |
+
66,
|
| 69 |
+
67,
|
| 70 |
+
68,
|
| 71 |
+
69,
|
| 72 |
+
70,
|
| 73 |
+
71,
|
| 74 |
+
72,
|
| 75 |
+
73,
|
| 76 |
+
74,
|
| 77 |
+
75,
|
| 78 |
+
76,
|
| 79 |
+
77,
|
| 80 |
+
78,
|
| 81 |
+
79,
|
| 82 |
+
80,
|
| 83 |
+
81,
|
| 84 |
+
82,
|
| 85 |
+
83,
|
| 86 |
+
84,
|
| 87 |
+
85,
|
| 88 |
+
86,
|
| 89 |
+
87,
|
| 90 |
+
88,
|
| 91 |
+
89,
|
| 92 |
+
90,
|
| 93 |
+
91,
|
| 94 |
+
92,
|
| 95 |
+
93,
|
| 96 |
+
94,
|
| 97 |
+
95,
|
| 98 |
+
96,
|
| 99 |
+
97,
|
| 100 |
+
98,
|
| 101 |
+
99,
|
| 102 |
+
100
|
| 103 |
+
],
|
| 104 |
+
"train_loss": [
|
| 105 |
+
0.8574997259200887,
|
| 106 |
+
0.7505243246606056,
|
| 107 |
+
0.7103249776109736,
|
| 108 |
+
0.6836102693638904,
|
| 109 |
+
0.651210425128328,
|
| 110 |
+
0.6359419588839754,
|
| 111 |
+
0.6155586437976107,
|
| 112 |
+
0.6008123857924279,
|
| 113 |
+
0.596096877087938,
|
| 114 |
+
0.5708691655828597,
|
| 115 |
+
0.5626290959500252,
|
| 116 |
+
0.5504531213070484,
|
| 117 |
+
0.5402676328192366,
|
| 118 |
+
0.531701640423308,
|
| 119 |
+
0.5210097119656015,
|
| 120 |
+
0.5081469915775543,
|
| 121 |
+
0.49337644292953164,
|
| 122 |
+
0.48660492729633414,
|
| 123 |
+
0.4724549992033776,
|
| 124 |
+
0.46970813309892695,
|
| 125 |
+
0.45960174098927925,
|
| 126 |
+
0.4523771241624305,
|
| 127 |
+
0.44224032473056873,
|
| 128 |
+
0.42378811445642023,
|
| 129 |
+
0.42256671720362726,
|
| 130 |
+
0.41485952037446044,
|
| 131 |
+
0.4222846440051464,
|
| 132 |
+
0.40135597670331913,
|
| 133 |
+
0.4001246858150401,
|
| 134 |
+
0.3865529886458782,
|
| 135 |
+
0.38450405431554674,
|
| 136 |
+
0.3756284328978112,
|
| 137 |
+
0.37111870372549016,
|
| 138 |
+
0.36293145040248304,
|
| 139 |
+
0.359274679625288,
|
| 140 |
+
0.3549985253303609,
|
| 141 |
+
0.3449325704574585,
|
| 142 |
+
0.33988015923094245,
|
| 143 |
+
0.35527185097653813,
|
| 144 |
+
0.33099724165936734,
|
| 145 |
+
0.3273146626036218,
|
| 146 |
+
0.3236961984888036,
|
| 147 |
+
0.3149482626991069,
|
| 148 |
+
0.306338194557961,
|
| 149 |
+
0.29979755584229817,
|
| 150 |
+
0.302549795723976,
|
| 151 |
+
0.31381422996520997,
|
| 152 |
+
0.3006550219718446,
|
| 153 |
+
0.29015486182050504,
|
| 154 |
+
0.2788799047216456,
|
| 155 |
+
0.2776867932461678,
|
| 156 |
+
0.28519151195566705,
|
| 157 |
+
0.26923085740272035,
|
| 158 |
+
0.2618955348653996,
|
| 159 |
+
0.26226612761933754,
|
| 160 |
+
0.26136533620509694,
|
| 161 |
+
0.25147715440455903,
|
| 162 |
+
0.24313229953989068,
|
| 163 |
+
0.24606617831169292,
|
| 164 |
+
0.23497593581676482,
|
| 165 |
+
0.23550332359811094,
|
| 166 |
+
0.23352794601562174,
|
| 167 |
+
0.2241344649360535,
|
| 168 |
+
0.22828594486764137,
|
| 169 |
+
0.22616987489005352,
|
| 170 |
+
0.22378903964732555,
|
| 171 |
+
0.2097720195131099,
|
| 172 |
+
0.21544364503089417,
|
| 173 |
+
0.20476987412635317,
|
| 174 |
+
0.19852494796539874,
|
| 175 |
+
0.18872427265694802,
|
| 176 |
+
0.18874106216303846,
|
| 177 |
+
0.18582075573028403,
|
| 178 |
+
0.18721421409160532,
|
| 179 |
+
0.18616639283109218,
|
| 180 |
+
0.18089387509417026,
|
| 181 |
+
0.1765180736653348,
|
| 182 |
+
0.18201458887216893,
|
| 183 |
+
0.16831629909099416,
|
| 184 |
+
0.16441458016633986,
|
| 185 |
+
0.15943045091121755,
|
| 186 |
+
0.16482715827353459,
|
| 187 |
+
0.171977051477483,
|
| 188 |
+
0.15829605221748352,
|
| 189 |
+
0.15982913125068585,
|
| 190 |
+
0.15699484210699163,
|
| 191 |
+
0.15221773138705721,
|
| 192 |
+
0.1448003437163982,
|
| 193 |
+
0.15874409373770368,
|
| 194 |
+
0.1373827058520723,
|
| 195 |
+
0.13369889481270567,
|
| 196 |
+
0.1335283272570752,
|
| 197 |
+
0.13467068110374694,
|
| 198 |
+
0.13289601536507303,
|
| 199 |
+
0.13199006618337428,
|
| 200 |
+
0.12418679020506271,
|
| 201 |
+
0.13574641911590352,
|
| 202 |
+
0.12889842208395613,
|
| 203 |
+
0.12234418136008242,
|
| 204 |
+
0.11669409588930454
|
| 205 |
+
],
|
| 206 |
+
"val_loss": [
|
| 207 |
+
0.7519954312101323,
|
| 208 |
+
0.7085796731076341,
|
| 209 |
+
0.6819856185101448,
|
| 210 |
+
0.6943788926652137,
|
| 211 |
+
0.6875015043705067,
|
| 212 |
+
0.6521973853415631,
|
| 213 |
+
0.6378006693657409,
|
| 214 |
+
0.6347382433363732,
|
| 215 |
+
0.6226873014835601,
|
| 216 |
+
0.6505081604896708,
|
| 217 |
+
0.6161246961735665,
|
| 218 |
+
0.5966095904593772,
|
| 219 |
+
0.6108066992049521,
|
| 220 |
+
0.5871542421807634,
|
| 221 |
+
0.5945407450452764,
|
| 222 |
+
0.5854827238651032,
|
| 223 |
+
0.5722861298094405,
|
| 224 |
+
0.5785842259894026,
|
| 225 |
+
0.5701470524199466,
|
| 226 |
+
0.5927819211432275,
|
| 227 |
+
0.5800064161483278,
|
| 228 |
+
0.5707119348201346,
|
| 229 |
+
0.5809910088904361,
|
| 230 |
+
0.5745982174670443,
|
| 231 |
+
0.5617569912240861,
|
| 232 |
+
0.5938744874203459,
|
| 233 |
+
0.5752490483953597,
|
| 234 |
+
0.5954867729734867,
|
| 235 |
+
0.5683960284578039,
|
| 236 |
+
0.5863156946669233,
|
| 237 |
+
0.5545713234455028,
|
| 238 |
+
0.5905887446504958,
|
| 239 |
+
0.5679087828068023,
|
| 240 |
+
0.6035892840141945,
|
| 241 |
+
0.5740485139603311,
|
| 242 |
+
0.5884152837002531,
|
| 243 |
+
0.5779616124579247,
|
| 244 |
+
0.6088262263764727,
|
| 245 |
+
0.611095842097668,
|
| 246 |
+
0.6211418256861099,
|
| 247 |
+
0.5773218982777697,
|
| 248 |
+
0.5820609643104229,
|
| 249 |
+
0.5781548242873333,
|
| 250 |
+
0.5927142041287523,
|
| 251 |
+
0.5906149057631797,
|
| 252 |
+
0.6319238565323201,
|
| 253 |
+
0.6105025441088575,
|
| 254 |
+
0.5858572272544211,
|
| 255 |
+
0.5976069163768849,
|
| 256 |
+
0.5964230245732246,
|
| 257 |
+
0.5983215358409476,
|
| 258 |
+
0.6353097049733426,
|
| 259 |
+
0.6188457108051219,
|
| 260 |
+
0.6040081764789338,
|
| 261 |
+
0.6100303389163727,
|
| 262 |
+
0.607772059186976,
|
| 263 |
+
0.6010561679271942,
|
| 264 |
+
0.6080557290036628,
|
| 265 |
+
0.595423821388407,
|
| 266 |
+
0.6447752628935144,
|
| 267 |
+
0.6159730909225789,
|
| 268 |
+
0.5907594868984628,
|
| 269 |
+
0.5995817209811921,
|
| 270 |
+
0.6053855961434385,
|
| 271 |
+
0.6529972680071567,
|
| 272 |
+
0.6295099665256256,
|
| 273 |
+
0.6236087252231355,
|
| 274 |
+
0.643939820553394,
|
| 275 |
+
0.6196586989849172,
|
| 276 |
+
0.6340117122264619,
|
| 277 |
+
0.6298353637532985,
|
| 278 |
+
0.6199499631942587,
|
| 279 |
+
0.6119514113791445,
|
| 280 |
+
0.636131217936252,
|
| 281 |
+
0.6308314110877666,
|
| 282 |
+
0.6309211461594765,
|
| 283 |
+
0.6383164850701677,
|
| 284 |
+
0.6313455826678175,
|
| 285 |
+
0.6365334936913024,
|
| 286 |
+
0.6468789967070234,
|
| 287 |
+
0.6244335799014314,
|
| 288 |
+
0.6408019837927311,
|
| 289 |
+
0.6424548553913197,
|
| 290 |
+
0.6548894543850675,
|
| 291 |
+
0.6263228410355588,
|
| 292 |
+
0.6764361190288625,
|
| 293 |
+
0.6592750080088352,
|
| 294 |
+
0.6677521597070897,
|
| 295 |
+
0.6625697607689716,
|
| 296 |
+
0.6439784566899563,
|
| 297 |
+
0.6443735049125996,
|
| 298 |
+
0.6665166782825551,
|
| 299 |
+
0.6493780109730173,
|
| 300 |
+
0.6457164076034059,
|
| 301 |
+
0.658636728905617,
|
| 302 |
+
0.6529771947353444,
|
| 303 |
+
0.6824383407450737,
|
| 304 |
+
0.6565720607372041,
|
| 305 |
+
0.6882888887790923,
|
| 306 |
+
0.6739070553475238
|
| 307 |
+
]
|
| 308 |
+
}
|
parkinsons_mlp/meta.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"dataset": "parkinsons",
|
| 3 |
+
"model": "mlp",
|
| 4 |
+
"task": "regression",
|
| 5 |
+
"epochs": 100,
|
| 6 |
+
"final_val_loss": 0.6739070553475238
|
| 7 |
+
}
|
parkinsons_mlp/model.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9fc8dcf457e1c9d5e39dc4655429fe1db188e71cbc7e81245bceebd8e7d5e69
|
| 3 |
+
size 563965
|
parkinsons_mlp/train_features.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa7ef5d39bc488b99a2f8eef2a6780237d122da243f6989a006e74b6eb4adadb
|
| 3 |
+
size 2427101
|
parkinsons_mlp/val_features.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7031be72fa3be5e4ce5df6336bb0b3013a83aa4be4c94345a5d4653b321920e1
|
| 3 |
+
size 608205
|