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README.md
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1 |
+
---
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2 |
+
tags:
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+
- mteb
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+
model-index:
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+
- name: Zhihui_LLM_Embedding
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results:
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- task:
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type: Retrieval
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dataset:
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type: C-MTEB/CmedqaRetrieval
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name: MTEB CmedqaRetrieval
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config: default
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split: dev
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revision: None
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+
metrics:
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- type: map_at_1
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17 |
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value: 28.925
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18 |
+
- type: map_at_10
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value: 41.91
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20 |
+
- type: map_at_100
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21 |
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value: 43.711
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22 |
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- type: map_at_1000
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23 |
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value: 43.817
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24 |
+
- type: map_at_3
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25 |
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value: 37.771
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26 |
+
- type: map_at_5
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27 |
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value: 39.963
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28 |
+
- type: mrr_at_1
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value: 43.211
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- type: mrr_at_10
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31 |
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value: 51.162
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32 |
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- type: mrr_at_100
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33 |
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value: 52.077
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34 |
+
- type: mrr_at_1000
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35 |
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value: 52.114000000000004
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- type: mrr_at_3
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37 |
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value: 48.862
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38 |
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- type: mrr_at_5
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39 |
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value: 50.051
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- type: ndcg_at_1
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41 |
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value: 43.211
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- type: ndcg_at_10
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43 |
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value: 48.556
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44 |
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- type: ndcg_at_100
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45 |
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value: 55.479
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46 |
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- type: ndcg_at_1000
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47 |
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value: 57.223
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- type: ndcg_at_3
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49 |
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value: 43.534
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- type: ndcg_at_5
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51 |
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value: 45.338
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52 |
+
- type: precision_at_1
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53 |
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value: 43.211
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54 |
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- type: precision_at_10
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55 |
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value: 10.473
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56 |
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- type: precision_at_100
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57 |
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value: 1.6179999999999999
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58 |
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- type: precision_at_1000
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59 |
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value: 0.184
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60 |
+
- type: precision_at_3
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61 |
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value: 24.298000000000002
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62 |
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- type: precision_at_5
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63 |
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value: 17.124
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64 |
+
- type: recall_at_1
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65 |
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value: 28.925
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66 |
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- type: recall_at_10
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67 |
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value: 59.03699999999999
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68 |
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- type: recall_at_100
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69 |
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value: 87.56
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70 |
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- type: recall_at_1000
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71 |
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value: 99.035
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72 |
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- type: recall_at_3
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73 |
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value: 43.376
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74 |
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- type: recall_at_5
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75 |
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value: 49.527
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76 |
+
- task:
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77 |
+
type: Retrieval
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78 |
+
dataset:
|
79 |
+
type: C-MTEB/CovidRetrieval
|
80 |
+
name: MTEB CovidRetrieval
|
81 |
+
config: default
|
82 |
+
split: dev
|
83 |
+
revision: None
|
84 |
+
metrics:
|
85 |
+
- type: map_at_1
|
86 |
+
value: 72.418
|
87 |
+
- type: map_at_10
|
88 |
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value: 80.291
|
89 |
+
- type: map_at_100
|
90 |
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value: 80.542
|
91 |
+
- type: map_at_1000
|
92 |
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value: 80.54299999999999
|
93 |
+
- type: map_at_3
|
94 |
+
value: 78.723
|
95 |
+
- type: map_at_5
|
96 |
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value: 79.569
|
97 |
+
- type: mrr_at_1
|
98 |
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value: 72.603
|
99 |
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- type: mrr_at_10
|
100 |
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value: 80.345
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101 |
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- type: mrr_at_100
|
102 |
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value: 80.586
|
103 |
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- type: mrr_at_1000
|
104 |
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value: 80.58800000000001
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+
- type: mrr_at_3
|
106 |
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value: 78.837
|
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- type: mrr_at_5
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108 |
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value: 79.696
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+
- type: ndcg_at_1
|
110 |
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value: 72.603
|
111 |
+
- type: ndcg_at_10
|
112 |
+
value: 83.86099999999999
|
113 |
+
- type: ndcg_at_100
|
114 |
+
value: 84.916
|
115 |
+
- type: ndcg_at_1000
|
116 |
+
value: 84.978
|
117 |
+
- type: ndcg_at_3
|
118 |
+
value: 80.692
|
119 |
+
- type: ndcg_at_5
|
120 |
+
value: 82.184
|
121 |
+
- type: precision_at_1
|
122 |
+
value: 72.603
|
123 |
+
- type: precision_at_10
|
124 |
+
value: 9.589
|
125 |
+
- type: precision_at_100
|
126 |
+
value: 1.005
|
127 |
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- type: precision_at_1000
|
128 |
+
value: 0.101
|
129 |
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- type: precision_at_3
|
130 |
+
value: 28.908
|
131 |
+
- type: precision_at_5
|
132 |
+
value: 18.102999999999998
|
133 |
+
- type: recall_at_1
|
134 |
+
value: 72.418
|
135 |
+
- type: recall_at_10
|
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+
value: 94.889
|
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+
- type: recall_at_100
|
138 |
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value: 99.473
|
139 |
+
- type: recall_at_1000
|
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value: 100
|
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+
- type: recall_at_3
|
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value: 86.222
|
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+
- type: recall_at_5
|
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+
value: 89.779
|
145 |
+
- task:
|
146 |
+
type: Retrieval
|
147 |
+
dataset:
|
148 |
+
type: C-MTEB/DuRetrieval
|
149 |
+
name: MTEB DuRetrieval
|
150 |
+
config: default
|
151 |
+
split: dev
|
152 |
+
revision: None
|
153 |
+
metrics:
|
154 |
+
- type: map_at_1
|
155 |
+
value: 28.301
|
156 |
+
- type: map_at_10
|
157 |
+
value: 85.844
|
158 |
+
- type: map_at_100
|
159 |
+
value: 88.431
|
160 |
+
- type: map_at_1000
|
161 |
+
value: 88.44999999999999
|
162 |
+
- type: map_at_3
|
163 |
+
value: 60.143
|
164 |
+
- type: map_at_5
|
165 |
+
value: 75.848
|
166 |
+
- type: mrr_at_1
|
167 |
+
value: 94.1
|
168 |
+
- type: mrr_at_10
|
169 |
+
value: 96.133
|
170 |
+
- type: mrr_at_100
|
171 |
+
value: 96.16
|
172 |
+
- type: mrr_at_1000
|
173 |
+
value: 96.162
|
174 |
+
- type: mrr_at_3
|
175 |
+
value: 95.958
|
176 |
+
- type: mrr_at_5
|
177 |
+
value: 96.086
|
178 |
+
- type: ndcg_at_1
|
179 |
+
value: 94.1
|
180 |
+
- type: ndcg_at_10
|
181 |
+
value: 91.74
|
182 |
+
- type: ndcg_at_100
|
183 |
+
value: 93.723
|
184 |
+
- type: ndcg_at_1000
|
185 |
+
value: 93.89999999999999
|
186 |
+
- type: ndcg_at_3
|
187 |
+
value: 90.867
|
188 |
+
- type: ndcg_at_5
|
189 |
+
value: 90.098
|
190 |
+
- type: precision_at_1
|
191 |
+
value: 94.1
|
192 |
+
- type: precision_at_10
|
193 |
+
value: 43.245
|
194 |
+
- type: precision_at_100
|
195 |
+
value: 4.87
|
196 |
+
- type: precision_at_1000
|
197 |
+
value: 0.49100000000000005
|
198 |
+
- type: precision_at_3
|
199 |
+
value: 80.783
|
200 |
+
- type: precision_at_5
|
201 |
+
value: 68.42
|
202 |
+
- type: recall_at_1
|
203 |
+
value: 28.301
|
204 |
+
- type: recall_at_10
|
205 |
+
value: 92.167
|
206 |
+
- type: recall_at_100
|
207 |
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value: 98.819
|
208 |
+
- type: recall_at_1000
|
209 |
+
value: 99.802
|
210 |
+
- type: recall_at_3
|
211 |
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value: 61.894000000000005
|
212 |
+
- type: recall_at_5
|
213 |
+
value: 79.417
|
214 |
+
- task:
|
215 |
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type: Retrieval
|
216 |
+
dataset:
|
217 |
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type: C-MTEB/EcomRetrieval
|
218 |
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name: MTEB EcomRetrieval
|
219 |
+
config: default
|
220 |
+
split: dev
|
221 |
+
revision: None
|
222 |
+
metrics:
|
223 |
+
- type: map_at_1
|
224 |
+
value: 58.3
|
225 |
+
- type: map_at_10
|
226 |
+
value: 67.394
|
227 |
+
- type: map_at_100
|
228 |
+
value: 67.892
|
229 |
+
- type: map_at_1000
|
230 |
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value: 67.902
|
231 |
+
- type: map_at_3
|
232 |
+
value: 64.983
|
233 |
+
- type: map_at_5
|
234 |
+
value: 66.52799999999999
|
235 |
+
- type: mrr_at_1
|
236 |
+
value: 58.3
|
237 |
+
- type: mrr_at_10
|
238 |
+
value: 67.394
|
239 |
+
- type: mrr_at_100
|
240 |
+
value: 67.892
|
241 |
+
- type: mrr_at_1000
|
242 |
+
value: 67.902
|
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+
- type: mrr_at_3
|
244 |
+
value: 64.983
|
245 |
+
- type: mrr_at_5
|
246 |
+
value: 66.52799999999999
|
247 |
+
- type: ndcg_at_1
|
248 |
+
value: 58.3
|
249 |
+
- type: ndcg_at_10
|
250 |
+
value: 72.04899999999999
|
251 |
+
- type: ndcg_at_100
|
252 |
+
value: 74.22800000000001
|
253 |
+
- type: ndcg_at_1000
|
254 |
+
value: 74.44
|
255 |
+
- type: ndcg_at_3
|
256 |
+
value: 67.194
|
257 |
+
- type: ndcg_at_5
|
258 |
+
value: 69.987
|
259 |
+
- type: precision_at_1
|
260 |
+
value: 58.3
|
261 |
+
- type: precision_at_10
|
262 |
+
value: 8.67
|
263 |
+
- type: precision_at_100
|
264 |
+
value: 0.964
|
265 |
+
- type: precision_at_1000
|
266 |
+
value: 0.098
|
267 |
+
- type: precision_at_3
|
268 |
+
value: 24.532999999999998
|
269 |
+
- type: precision_at_5
|
270 |
+
value: 16.08
|
271 |
+
- type: recall_at_1
|
272 |
+
value: 58.3
|
273 |
+
- type: recall_at_10
|
274 |
+
value: 86.7
|
275 |
+
- type: recall_at_100
|
276 |
+
value: 96.39999999999999
|
277 |
+
- type: recall_at_1000
|
278 |
+
value: 98
|
279 |
+
- type: recall_at_3
|
280 |
+
value: 73.6
|
281 |
+
- type: recall_at_5
|
282 |
+
value: 80.4
|
283 |
+
- task:
|
284 |
+
type: Retrieval
|
285 |
+
dataset:
|
286 |
+
type: C-MTEB/MMarcoRetrieval
|
287 |
+
name: MTEB MMarcoRetrieval
|
288 |
+
config: default
|
289 |
+
split: dev
|
290 |
+
revision: None
|
291 |
+
metrics:
|
292 |
+
- type: map_at_1
|
293 |
+
value: 72.82600000000001
|
294 |
+
- type: map_at_10
|
295 |
+
value: 81.514
|
296 |
+
- type: map_at_100
|
297 |
+
value: 81.761
|
298 |
+
- type: map_at_1000
|
299 |
+
value: 81.766
|
300 |
+
- type: map_at_3
|
301 |
+
value: 79.92
|
302 |
+
- type: map_at_5
|
303 |
+
value: 80.96900000000001
|
304 |
+
- type: mrr_at_1
|
305 |
+
value: 75.18599999999999
|
306 |
+
- type: mrr_at_10
|
307 |
+
value: 81.934
|
308 |
+
- type: mrr_at_100
|
309 |
+
value: 82.146
|
310 |
+
- type: mrr_at_1000
|
311 |
+
value: 82.15
|
312 |
+
- type: mrr_at_3
|
313 |
+
value: 80.559
|
314 |
+
- type: mrr_at_5
|
315 |
+
value: 81.458
|
316 |
+
- type: ndcg_at_1
|
317 |
+
value: 75.18599999999999
|
318 |
+
- type: ndcg_at_10
|
319 |
+
value: 84.736
|
320 |
+
- type: ndcg_at_100
|
321 |
+
value: 85.748
|
322 |
+
- type: ndcg_at_1000
|
323 |
+
value: 85.879
|
324 |
+
- type: ndcg_at_3
|
325 |
+
value: 81.756
|
326 |
+
- type: ndcg_at_5
|
327 |
+
value: 83.50800000000001
|
328 |
+
- type: precision_at_1
|
329 |
+
value: 75.18599999999999
|
330 |
+
- type: precision_at_10
|
331 |
+
value: 10.016
|
332 |
+
- type: precision_at_100
|
333 |
+
value: 1.05
|
334 |
+
- type: precision_at_1000
|
335 |
+
value: 0.106
|
336 |
+
- type: precision_at_3
|
337 |
+
value: 30.477999999999998
|
338 |
+
- type: precision_at_5
|
339 |
+
value: 19.221
|
340 |
+
- type: recall_at_1
|
341 |
+
value: 72.82600000000001
|
342 |
+
- type: recall_at_10
|
343 |
+
value: 94.191
|
344 |
+
- type: recall_at_100
|
345 |
+
value: 98.573
|
346 |
+
- type: recall_at_1000
|
347 |
+
value: 99.577
|
348 |
+
- type: recall_at_3
|
349 |
+
value: 86.373
|
350 |
+
- type: recall_at_5
|
351 |
+
value: 90.518
|
352 |
+
- task:
|
353 |
+
type: Retrieval
|
354 |
+
dataset:
|
355 |
+
type: C-MTEB/MedicalRetrieval
|
356 |
+
name: MTEB MedicalRetrieval
|
357 |
+
config: default
|
358 |
+
split: dev
|
359 |
+
revision: None
|
360 |
+
metrics:
|
361 |
+
- type: map_at_1
|
362 |
+
value: 56.39999999999999
|
363 |
+
- type: map_at_10
|
364 |
+
value: 62.503
|
365 |
+
- type: map_at_100
|
366 |
+
value: 63.047
|
367 |
+
- type: map_at_1000
|
368 |
+
value: 63.092000000000006
|
369 |
+
- type: map_at_3
|
370 |
+
value: 61.233000000000004
|
371 |
+
- type: map_at_5
|
372 |
+
value: 61.858000000000004
|
373 |
+
- type: mrr_at_1
|
374 |
+
value: 56.49999999999999
|
375 |
+
- type: mrr_at_10
|
376 |
+
value: 62.553000000000004
|
377 |
+
- type: mrr_at_100
|
378 |
+
value: 63.097
|
379 |
+
- type: mrr_at_1000
|
380 |
+
value: 63.141999999999996
|
381 |
+
- type: mrr_at_3
|
382 |
+
value: 61.283
|
383 |
+
- type: mrr_at_5
|
384 |
+
value: 61.907999999999994
|
385 |
+
- type: ndcg_at_1
|
386 |
+
value: 56.39999999999999
|
387 |
+
- type: ndcg_at_10
|
388 |
+
value: 65.446
|
389 |
+
- type: ndcg_at_100
|
390 |
+
value: 68.32000000000001
|
391 |
+
- type: ndcg_at_1000
|
392 |
+
value: 69.53099999999999
|
393 |
+
- type: ndcg_at_3
|
394 |
+
value: 62.769
|
395 |
+
- type: ndcg_at_5
|
396 |
+
value: 63.909000000000006
|
397 |
+
- type: precision_at_1
|
398 |
+
value: 56.39999999999999
|
399 |
+
- type: precision_at_10
|
400 |
+
value: 7.470000000000001
|
401 |
+
- type: precision_at_100
|
402 |
+
value: 0.886
|
403 |
+
- type: precision_at_1000
|
404 |
+
value: 0.098
|
405 |
+
- type: precision_at_3
|
406 |
+
value: 22.400000000000002
|
407 |
+
- type: precision_at_5
|
408 |
+
value: 14.000000000000002
|
409 |
+
- type: recall_at_1
|
410 |
+
value: 56.39999999999999
|
411 |
+
- type: recall_at_10
|
412 |
+
value: 74.7
|
413 |
+
- type: recall_at_100
|
414 |
+
value: 88.6
|
415 |
+
- type: recall_at_1000
|
416 |
+
value: 98.2
|
417 |
+
- type: recall_at_3
|
418 |
+
value: 67.2
|
419 |
+
- type: recall_at_5
|
420 |
+
value: 70
|
421 |
+
- task:
|
422 |
+
type: Retrieval
|
423 |
+
dataset:
|
424 |
+
type: C-MTEB/T2Retrieval
|
425 |
+
name: MTEB T2Retrieval
|
426 |
+
config: default
|
427 |
+
split: dev
|
428 |
+
revision: None
|
429 |
+
metrics:
|
430 |
+
- type: map_at_1
|
431 |
+
value: 28.516000000000002
|
432 |
+
- type: map_at_10
|
433 |
+
value: 81.082
|
434 |
+
- type: map_at_100
|
435 |
+
value: 84.612
|
436 |
+
- type: map_at_1000
|
437 |
+
value: 84.652
|
438 |
+
- type: map_at_3
|
439 |
+
value: 56.665
|
440 |
+
- type: map_at_5
|
441 |
+
value: 69.867
|
442 |
+
- type: mrr_at_1
|
443 |
+
value: 91.702
|
444 |
+
- type: mrr_at_10
|
445 |
+
value: 93.96600000000001
|
446 |
+
- type: mrr_at_100
|
447 |
+
value: 94.038
|
448 |
+
- type: mrr_at_1000
|
449 |
+
value: 94.039
|
450 |
+
- type: mrr_at_3
|
451 |
+
value: 93.593
|
452 |
+
- type: mrr_at_5
|
453 |
+
value: 93.82300000000001
|
454 |
+
- type: ndcg_at_1
|
455 |
+
value: 91.702
|
456 |
+
- type: ndcg_at_10
|
457 |
+
value: 87.847
|
458 |
+
- type: ndcg_at_100
|
459 |
+
value: 90.914
|
460 |
+
- type: ndcg_at_1000
|
461 |
+
value: 91.292
|
462 |
+
- type: ndcg_at_3
|
463 |
+
value: 88.47699999999999
|
464 |
+
- type: ndcg_at_5
|
465 |
+
value: 87.491
|
466 |
+
- type: precision_at_1
|
467 |
+
value: 91.702
|
468 |
+
- type: precision_at_10
|
469 |
+
value: 43.619
|
470 |
+
- type: precision_at_100
|
471 |
+
value: 5.096
|
472 |
+
- type: precision_at_1000
|
473 |
+
value: 0.518
|
474 |
+
- type: precision_at_3
|
475 |
+
value: 77.23400000000001
|
476 |
+
- type: precision_at_5
|
477 |
+
value: 65.044
|
478 |
+
- type: recall_at_1
|
479 |
+
value: 28.516000000000002
|
480 |
+
- type: recall_at_10
|
481 |
+
value: 87.176
|
482 |
+
- type: recall_at_100
|
483 |
+
value: 97.237
|
484 |
+
- type: recall_at_1000
|
485 |
+
value: 99.17099999999999
|
486 |
+
- type: recall_at_3
|
487 |
+
value: 58.217
|
488 |
+
- type: recall_at_5
|
489 |
+
value: 73.028
|
490 |
+
- task:
|
491 |
+
type: Retrieval
|
492 |
+
dataset:
|
493 |
+
type: C-MTEB/VideoRetrieval
|
494 |
+
name: MTEB VideoRetrieval
|
495 |
+
config: default
|
496 |
+
split: dev
|
497 |
+
revision: None
|
498 |
+
metrics:
|
499 |
+
- type: map_at_1
|
500 |
+
value: 67.10000000000001
|
501 |
+
- type: map_at_10
|
502 |
+
value: 75.541
|
503 |
+
- type: map_at_100
|
504 |
+
value: 75.884
|
505 |
+
- type: map_at_1000
|
506 |
+
value: 75.889
|
507 |
+
- type: map_at_3
|
508 |
+
value: 73.967
|
509 |
+
- type: map_at_5
|
510 |
+
value: 74.98700000000001
|
511 |
+
- type: mrr_at_1
|
512 |
+
value: 67.10000000000001
|
513 |
+
- type: mrr_at_10
|
514 |
+
value: 75.541
|
515 |
+
- type: mrr_at_100
|
516 |
+
value: 75.884
|
517 |
+
- type: mrr_at_1000
|
518 |
+
value: 75.889
|
519 |
+
- type: mrr_at_3
|
520 |
+
value: 73.967
|
521 |
+
- type: mrr_at_5
|
522 |
+
value: 74.98700000000001
|
523 |
+
- type: ndcg_at_1
|
524 |
+
value: 67.10000000000001
|
525 |
+
- type: ndcg_at_10
|
526 |
+
value: 79.322
|
527 |
+
- type: ndcg_at_100
|
528 |
+
value: 80.948
|
529 |
+
- type: ndcg_at_1000
|
530 |
+
value: 81.092
|
531 |
+
- type: ndcg_at_3
|
532 |
+
value: 76.16199999999999
|
533 |
+
- type: ndcg_at_5
|
534 |
+
value: 78.008
|
535 |
+
- type: precision_at_1
|
536 |
+
value: 67.10000000000001
|
537 |
+
- type: precision_at_10
|
538 |
+
value: 9.1
|
539 |
+
- type: precision_at_100
|
540 |
+
value: 0.985
|
541 |
+
- type: precision_at_1000
|
542 |
+
value: 0.1
|
543 |
+
- type: precision_at_3
|
544 |
+
value: 27.500000000000004
|
545 |
+
- type: precision_at_5
|
546 |
+
value: 17.4
|
547 |
+
- type: recall_at_1
|
548 |
+
value: 67.10000000000001
|
549 |
+
- type: recall_at_10
|
550 |
+
value: 91
|
551 |
+
- type: recall_at_100
|
552 |
+
value: 98.5
|
553 |
+
- type: recall_at_1000
|
554 |
+
value: 99.6
|
555 |
+
- type: recall_at_3
|
556 |
+
value: 82.5
|
557 |
+
- type: recall_at_5
|
558 |
+
value: 87
|
559 |
+
license: apache-2.0
|
560 |
+
language:
|
561 |
+
- zh
|
562 |
+
---
|
563 |
+
|
564 |
+
### Zhihui_LLM_Embedding
|
565 |
+
|
566 |
+
More technical details will be updated later.
|