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README.md
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2 |
language: []
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3 |
library_name: sentence-transformers
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tags:
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|
1 |
---
|
2 |
+
model-index:
|
3 |
+
- name: Gameselo/STS-multilingual-mpnet-base-v2
|
4 |
+
results:
|
5 |
+
- dataset:
|
6 |
+
config: it
|
7 |
+
name: MTEB STS22
|
8 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
9 |
+
split: test
|
10 |
+
type: mteb/sts22-crosslingual-sts
|
11 |
+
metrics:
|
12 |
+
- type: cosine_spearman
|
13 |
+
value: 0.6847049462613332
|
14 |
+
task:
|
15 |
+
type: STS
|
16 |
+
- dataset:
|
17 |
+
config: es
|
18 |
+
name: MTEB STS22
|
19 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
20 |
+
split: test
|
21 |
+
type: mteb/sts22-crosslingual-sts
|
22 |
+
metrics:
|
23 |
+
- type: cosine_spearman
|
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+
value: 0.6620948502618977
|
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+
task:
|
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+
type: STS
|
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+
- dataset:
|
28 |
+
config: fr
|
29 |
+
name: MTEB STS22
|
30 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
31 |
+
split: test
|
32 |
+
type: mteb/sts22-crosslingual-sts
|
33 |
+
metrics:
|
34 |
+
- type: cosine_spearman
|
35 |
+
value: 0.7875616631597785
|
36 |
+
task:
|
37 |
+
type: STS
|
38 |
+
- dataset:
|
39 |
+
config: pl-en
|
40 |
+
name: MTEB STS22
|
41 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
42 |
+
split: test
|
43 |
+
type: mteb/sts22-crosslingual-sts
|
44 |
+
metrics:
|
45 |
+
- type: cosine_spearman
|
46 |
+
value: 0.7510805416538202
|
47 |
+
task:
|
48 |
+
type: STS
|
49 |
+
- dataset:
|
50 |
+
config: ar
|
51 |
+
name: MTEB STS22
|
52 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
53 |
+
split: test
|
54 |
+
type: mteb/sts22-crosslingual-sts
|
55 |
+
metrics:
|
56 |
+
- type: cosine_spearman
|
57 |
+
value: 0.6265329479575293
|
58 |
+
task:
|
59 |
+
type: STS
|
60 |
+
- dataset:
|
61 |
+
config: pl
|
62 |
+
name: MTEB STS22
|
63 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
64 |
+
split: test
|
65 |
+
type: mteb/sts22-crosslingual-sts
|
66 |
+
metrics:
|
67 |
+
- type: cosine_spearman
|
68 |
+
value: 0.4335552432730643
|
69 |
+
task:
|
70 |
+
type: STS
|
71 |
+
- dataset:
|
72 |
+
config: de
|
73 |
+
name: MTEB STS22
|
74 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
75 |
+
split: test
|
76 |
+
type: mteb/sts22-crosslingual-sts
|
77 |
+
metrics:
|
78 |
+
- type: cosine_spearman
|
79 |
+
value: 0.5774252131250034
|
80 |
+
task:
|
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+
type: STS
|
82 |
+
- dataset:
|
83 |
+
config: tr
|
84 |
+
name: MTEB STS22
|
85 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
86 |
+
split: test
|
87 |
+
type: mteb/sts22-crosslingual-sts
|
88 |
+
metrics:
|
89 |
+
- type: cosine_spearman
|
90 |
+
value: 0.6383757017928495
|
91 |
+
task:
|
92 |
+
type: STS
|
93 |
+
- dataset:
|
94 |
+
config: es-it
|
95 |
+
name: MTEB STS22
|
96 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
97 |
+
split: test
|
98 |
+
type: mteb/sts22-crosslingual-sts
|
99 |
+
metrics:
|
100 |
+
- type: cosine_spearman
|
101 |
+
value: 0.6624635951676386
|
102 |
+
task:
|
103 |
+
type: STS
|
104 |
+
- dataset:
|
105 |
+
config: ru
|
106 |
+
name: MTEB STS22
|
107 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
108 |
+
split: test
|
109 |
+
type: mteb/sts22-crosslingual-sts
|
110 |
+
metrics:
|
111 |
+
- type: cosine_spearman
|
112 |
+
value: 0.5866853707548388
|
113 |
+
task:
|
114 |
+
type: STS
|
115 |
+
- dataset:
|
116 |
+
config: en
|
117 |
+
name: MTEB STS22
|
118 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
119 |
+
split: test
|
120 |
+
type: mteb/sts22-crosslingual-sts
|
121 |
+
metrics:
|
122 |
+
- type: cosine_spearman
|
123 |
+
value: 0.6385354535483773
|
124 |
+
task:
|
125 |
+
type: STS
|
126 |
+
- dataset:
|
127 |
+
config: zh-en
|
128 |
+
name: MTEB STS22
|
129 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
130 |
+
split: test
|
131 |
+
type: mteb/sts22-crosslingual-sts
|
132 |
+
metrics:
|
133 |
+
- type: cosine_spearman
|
134 |
+
value: 0.6537294853166558
|
135 |
+
task:
|
136 |
+
type: STS
|
137 |
+
- dataset:
|
138 |
+
config: zh
|
139 |
+
name: MTEB STS22
|
140 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
141 |
+
split: test
|
142 |
+
type: mteb/sts22-crosslingual-sts
|
143 |
+
metrics:
|
144 |
+
- type: cosine_spearman
|
145 |
+
value: 0.6319430830291571
|
146 |
+
task:
|
147 |
+
type: STS
|
148 |
+
- dataset:
|
149 |
+
config: fr-pl
|
150 |
+
name: MTEB STS22
|
151 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
152 |
+
split: test
|
153 |
+
type: mteb/sts22-crosslingual-sts
|
154 |
+
metrics:
|
155 |
+
- type: cosine_spearman
|
156 |
+
value: 0.8451542547285167
|
157 |
+
task:
|
158 |
+
type: STS
|
159 |
+
- dataset:
|
160 |
+
config: de-fr
|
161 |
+
name: MTEB STS22
|
162 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
163 |
+
split: test
|
164 |
+
type: mteb/sts22-crosslingual-sts
|
165 |
+
metrics:
|
166 |
+
- type: cosine_spearman
|
167 |
+
value: 0.5798716781400349
|
168 |
+
task:
|
169 |
+
type: STS
|
170 |
+
- dataset:
|
171 |
+
config: es-en
|
172 |
+
name: MTEB STS22
|
173 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
174 |
+
split: test
|
175 |
+
type: mteb/sts22-crosslingual-sts
|
176 |
+
metrics:
|
177 |
+
- type: cosine_spearman
|
178 |
+
value: 0.7518021273920814
|
179 |
+
task:
|
180 |
+
type: STS
|
181 |
+
- dataset:
|
182 |
+
config: de-en
|
183 |
+
name: MTEB STS22
|
184 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
185 |
+
split: test
|
186 |
+
type: mteb/sts22-crosslingual-sts
|
187 |
+
metrics:
|
188 |
+
- type: cosine_spearman
|
189 |
+
value: 0.5749790581441845
|
190 |
+
task:
|
191 |
+
type: STS
|
192 |
+
- dataset:
|
193 |
+
config: de-pl
|
194 |
+
name: MTEB STS22
|
195 |
+
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
|
196 |
+
split: test
|
197 |
+
type: mteb/sts22-crosslingual-sts
|
198 |
+
metrics:
|
199 |
+
- type: cosine_spearman
|
200 |
+
value: 0.44220332625465214
|
201 |
+
task:
|
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+
type: STS
|
203 |
+
- dataset:
|
204 |
+
config: default
|
205 |
+
name: MTEB STSBenchmark
|
206 |
+
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
207 |
+
split: test
|
208 |
+
type: mteb/stsbenchmark-sts
|
209 |
+
metrics:
|
210 |
+
- type: cosine_spearman
|
211 |
+
value: 0.9762486352335524
|
212 |
+
task:
|
213 |
+
type: STS
|
214 |
+
- dataset:
|
215 |
+
config: en-tr
|
216 |
+
name: MTEB STS17
|
217 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
218 |
+
split: test
|
219 |
+
type: mteb/sts17-crosslingual-sts
|
220 |
+
metrics:
|
221 |
+
- type: cosine_spearman
|
222 |
+
value: 0.7987027653005363
|
223 |
+
task:
|
224 |
+
type: STS
|
225 |
+
- dataset:
|
226 |
+
config: ko-ko
|
227 |
+
name: MTEB STS17
|
228 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
229 |
+
split: test
|
230 |
+
type: mteb/sts17-crosslingual-sts
|
231 |
+
metrics:
|
232 |
+
- type: cosine_spearman
|
233 |
+
value: 0.9766336939338607
|
234 |
+
task:
|
235 |
+
type: STS
|
236 |
+
- dataset:
|
237 |
+
config: fr-en
|
238 |
+
name: MTEB STS17
|
239 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
240 |
+
split: test
|
241 |
+
type: mteb/sts17-crosslingual-sts
|
242 |
+
metrics:
|
243 |
+
- type: cosine_spearman
|
244 |
+
value: 0.9067607122592818
|
245 |
+
task:
|
246 |
+
type: STS
|
247 |
+
- dataset:
|
248 |
+
config: en-ar
|
249 |
+
name: MTEB STS17
|
250 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
251 |
+
split: test
|
252 |
+
type: mteb/sts17-crosslingual-sts
|
253 |
+
metrics:
|
254 |
+
- type: cosine_spearman
|
255 |
+
value: 0.7703365842088069
|
256 |
+
task:
|
257 |
+
type: STS
|
258 |
+
- dataset:
|
259 |
+
config: nl-en
|
260 |
+
name: MTEB STS17
|
261 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
262 |
+
split: test
|
263 |
+
type: mteb/sts17-crosslingual-sts
|
264 |
+
metrics:
|
265 |
+
- type: cosine_spearman
|
266 |
+
value: 0.9114826394926738
|
267 |
+
task:
|
268 |
+
type: STS
|
269 |
+
- dataset:
|
270 |
+
config: it-en
|
271 |
+
name: MTEB STS17
|
272 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
273 |
+
split: test
|
274 |
+
type: mteb/sts17-crosslingual-sts
|
275 |
+
metrics:
|
276 |
+
- type: cosine_spearman
|
277 |
+
value: 0.9246785886944904
|
278 |
+
task:
|
279 |
+
type: STS
|
280 |
+
- dataset:
|
281 |
+
config: ar-ar
|
282 |
+
name: MTEB STS17
|
283 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
284 |
+
split: test
|
285 |
+
type: mteb/sts17-crosslingual-sts
|
286 |
+
metrics:
|
287 |
+
- type: cosine_spearman
|
288 |
+
value: 0.8124393788492182
|
289 |
+
task:
|
290 |
+
type: STS
|
291 |
+
- dataset:
|
292 |
+
config: es-es
|
293 |
+
name: MTEB STS17
|
294 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
295 |
+
split: test
|
296 |
+
type: mteb/sts17-crosslingual-sts
|
297 |
+
metrics:
|
298 |
+
- type: cosine_spearman
|
299 |
+
value: 0.872701191632785
|
300 |
+
task:
|
301 |
+
type: STS
|
302 |
+
- dataset:
|
303 |
+
config: en-de
|
304 |
+
name: MTEB STS17
|
305 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
306 |
+
split: test
|
307 |
+
type: mteb/sts17-crosslingual-sts
|
308 |
+
metrics:
|
309 |
+
- type: cosine_spearman
|
310 |
+
value: 0.9109414091487618
|
311 |
+
task:
|
312 |
+
type: STS
|
313 |
+
- dataset:
|
314 |
+
config: es-en
|
315 |
+
name: MTEB STS17
|
316 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
317 |
+
split: test
|
318 |
+
type: mteb/sts17-crosslingual-sts
|
319 |
+
metrics:
|
320 |
+
- type: cosine_spearman
|
321 |
+
value: 0.8553203530552356
|
322 |
+
task:
|
323 |
+
type: STS
|
324 |
+
- dataset:
|
325 |
+
config: en-en
|
326 |
+
name: MTEB STS17
|
327 |
+
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
|
328 |
+
split: test
|
329 |
+
type: mteb/sts17-crosslingual-sts
|
330 |
+
metrics:
|
331 |
+
- type: cosine_spearman
|
332 |
+
value: 0.9378741534997558
|
333 |
+
task:
|
334 |
+
type: STS
|
335 |
language: []
|
336 |
library_name: sentence-transformers
|
337 |
tags:
|