Upload README.md with huggingface_hub
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README.md
CHANGED
@@ -1,4 +1,7 @@
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---
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tags:
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- sentence-transformers
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- sentence-similarity
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@@ -6,7 +9,6 @@ tags:
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- generated_from_trainer
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- dataset_size:58620066
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- loss:RZTKMatryoshka2dLoss
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-
base_model: intfloat/multilingual-e5-base
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widget:
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- source_sentence: 'query: чехол на самсунг а30'
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sentences:
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@@ -46,8 +48,3201 @@ widget:
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Туреччина'
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- 'passage: Ключница Traum 7203-10 Черная (4820007203107)'
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- 'passage: Кухня Эко модуль Вытяжка 600 Эверест Ясень Шимо Светлый 60х30х28 см'
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|
51 |
---
|
52 |
|
53 |
# SentenceTransformer based on intfloat/multilingual-e5-base
|
|
|
1 |
---
|
2 |
+
base_model: intfloat/multilingual-e5-base
|
3 |
+
library_name: sentence-transformers
|
4 |
+
pipeline_tag: sentence-similarity
|
5 |
tags:
|
6 |
- sentence-transformers
|
7 |
- sentence-similarity
|
|
|
9 |
- generated_from_trainer
|
10 |
- dataset_size:58620066
|
11 |
- loss:RZTKMatryoshka2dLoss
|
|
|
12 |
widget:
|
13 |
- source_sentence: 'query: чехол на самсунг а30'
|
14 |
sentences:
|
|
|
48 |
Туреччина'
|
49 |
- 'passage: Ключница Traum 7203-10 Черная (4820007203107)'
|
50 |
- 'passage: Кухня Эко модуль Вытяжка 600 Эверест Ясень Шимо Светлый 60х30х28 см'
|
51 |
+
model-index:
|
52 |
+
- name: SentenceTransformer based on intfloat/multilingual-e5-base
|
53 |
+
results:
|
54 |
+
- task:
|
55 |
+
type: information-retrieval
|
56 |
+
name: Information Retrieval
|
57 |
+
dataset:
|
58 |
+
name: bm full
|
59 |
+
type: bm-full
|
60 |
+
metrics:
|
61 |
+
- type: dot_accuracy@1
|
62 |
+
value: 0.4827586206896552
|
63 |
+
name: Dot Accuracy@1
|
64 |
+
- type: dot_accuracy@3
|
65 |
+
value: 0.6476293103448276
|
66 |
+
name: Dot Accuracy@3
|
67 |
+
- type: dot_accuracy@5
|
68 |
+
value: 0.7359913793103449
|
69 |
+
name: Dot Accuracy@5
|
70 |
+
- type: dot_accuracy@10
|
71 |
+
value: 0.8173491379310345
|
72 |
+
name: Dot Accuracy@10
|
73 |
+
- type: dot_precision@1
|
74 |
+
value: 0.4827586206896552
|
75 |
+
name: Dot Precision@1
|
76 |
+
- type: dot_precision@3
|
77 |
+
value: 0.4892241379310345
|
78 |
+
name: Dot Precision@3
|
79 |
+
- type: dot_precision@5
|
80 |
+
value: 0.4947198275862069
|
81 |
+
name: Dot Precision@5
|
82 |
+
- type: dot_precision@10
|
83 |
+
value: 0.4869612068965517
|
84 |
+
name: Dot Precision@10
|
85 |
+
- type: dot_recall@1
|
86 |
+
value: 0.01196127951053177
|
87 |
+
name: Dot Recall@1
|
88 |
+
- type: dot_recall@3
|
89 |
+
value: 0.03605252760852524
|
90 |
+
name: Dot Recall@3
|
91 |
+
- type: dot_recall@5
|
92 |
+
value: 0.06019059294068119
|
93 |
+
name: Dot Recall@5
|
94 |
+
- type: dot_recall@10
|
95 |
+
value: 0.11598568385490053
|
96 |
+
name: Dot Recall@10
|
97 |
+
- type: dot_ndcg@10
|
98 |
+
value: 0.488283085678875
|
99 |
+
name: Dot Ndcg@10
|
100 |
+
- type: dot_mrr@10
|
101 |
+
value: 0.581799269636016
|
102 |
+
name: Dot Mrr@10
|
103 |
+
- type: dot_map@100
|
104 |
+
value: 0.3625151414171006
|
105 |
+
name: Dot Map@100
|
106 |
+
- task:
|
107 |
+
type: information-retrieval
|
108 |
+
name: Information Retrieval
|
109 |
+
dataset:
|
110 |
+
name: core uk title
|
111 |
+
type: core-uk-title
|
112 |
+
metrics:
|
113 |
+
- type: dot_accuracy@1
|
114 |
+
value: 0.6396303901437371
|
115 |
+
name: Dot Accuracy@1
|
116 |
+
- type: dot_accuracy@3
|
117 |
+
value: 0.8439425051334702
|
118 |
+
name: Dot Accuracy@3
|
119 |
+
- type: dot_accuracy@5
|
120 |
+
value: 0.9291581108829569
|
121 |
+
name: Dot Accuracy@5
|
122 |
+
- type: dot_accuracy@10
|
123 |
+
value: 0.9784394250513347
|
124 |
+
name: Dot Accuracy@10
|
125 |
+
- type: dot_precision@1
|
126 |
+
value: 0.6396303901437371
|
127 |
+
name: Dot Precision@1
|
128 |
+
- type: dot_precision@3
|
129 |
+
value: 0.6379192334017795
|
130 |
+
name: Dot Precision@3
|
131 |
+
- type: dot_precision@5
|
132 |
+
value: 0.628952772073922
|
133 |
+
name: Dot Precision@5
|
134 |
+
- type: dot_precision@10
|
135 |
+
value: 0.530082135523614
|
136 |
+
name: Dot Precision@10
|
137 |
+
- type: dot_recall@1
|
138 |
+
value: 0.06563353437372038
|
139 |
+
name: Dot Recall@1
|
140 |
+
- type: dot_recall@3
|
141 |
+
value: 0.1948624447816681
|
142 |
+
name: Dot Recall@3
|
143 |
+
- type: dot_recall@5
|
144 |
+
value: 0.3186099953448063
|
145 |
+
name: Dot Recall@5
|
146 |
+
- type: dot_recall@10
|
147 |
+
value: 0.524211399868937
|
148 |
+
name: Dot Recall@10
|
149 |
+
- type: dot_ndcg@10
|
150 |
+
value: 0.5917292045236857
|
151 |
+
name: Dot Ndcg@10
|
152 |
+
- type: dot_mrr@10
|
153 |
+
value: 0.7568943319970016
|
154 |
+
name: Dot Mrr@10
|
155 |
+
- type: dot_map@100
|
156 |
+
value: 0.577288555105118
|
157 |
+
name: Dot Map@100
|
158 |
+
- task:
|
159 |
+
type: information-retrieval
|
160 |
+
name: Information Retrieval
|
161 |
+
dataset:
|
162 |
+
name: core ru title
|
163 |
+
type: core-ru-title
|
164 |
+
metrics:
|
165 |
+
- type: dot_accuracy@1
|
166 |
+
value: 0.6427104722792608
|
167 |
+
name: Dot Accuracy@1
|
168 |
+
- type: dot_accuracy@3
|
169 |
+
value: 0.8562628336755647
|
170 |
+
name: Dot Accuracy@3
|
171 |
+
- type: dot_accuracy@5
|
172 |
+
value: 0.9332648870636551
|
173 |
+
name: Dot Accuracy@5
|
174 |
+
- type: dot_accuracy@10
|
175 |
+
value: 0.9804928131416838
|
176 |
+
name: Dot Accuracy@10
|
177 |
+
- type: dot_precision@1
|
178 |
+
value: 0.6427104722792608
|
179 |
+
name: Dot Precision@1
|
180 |
+
- type: dot_precision@3
|
181 |
+
value: 0.6509240246406571
|
182 |
+
name: Dot Precision@3
|
183 |
+
- type: dot_precision@5
|
184 |
+
value: 0.6381930184804928
|
185 |
+
name: Dot Precision@5
|
186 |
+
- type: dot_precision@10
|
187 |
+
value: 0.5366529774127311
|
188 |
+
name: Dot Precision@10
|
189 |
+
- type: dot_recall@1
|
190 |
+
value: 0.06587922611068522
|
191 |
+
name: Dot Recall@1
|
192 |
+
- type: dot_recall@3
|
193 |
+
value: 0.19907130018858485
|
194 |
+
name: Dot Recall@3
|
195 |
+
- type: dot_recall@5
|
196 |
+
value: 0.32339221688780817
|
197 |
+
name: Dot Recall@5
|
198 |
+
- type: dot_recall@10
|
199 |
+
value: 0.530874137789979
|
200 |
+
name: Dot Recall@10
|
201 |
+
- type: dot_ndcg@10
|
202 |
+
value: 0.5993309407105045
|
203 |
+
name: Dot Ndcg@10
|
204 |
+
- type: dot_mrr@10
|
205 |
+
value: 0.7613282650500315
|
206 |
+
name: Dot Mrr@10
|
207 |
+
- type: dot_map@100
|
208 |
+
value: 0.5856572456385178
|
209 |
+
name: Dot Map@100
|
210 |
+
- task:
|
211 |
+
type: information-retrieval
|
212 |
+
name: Information Retrieval
|
213 |
+
dataset:
|
214 |
+
name: core uk options
|
215 |
+
type: core-uk-options
|
216 |
+
metrics:
|
217 |
+
- type: dot_accuracy@1
|
218 |
+
value: 0.5236139630390144
|
219 |
+
name: Dot Accuracy@1
|
220 |
+
- type: dot_accuracy@3
|
221 |
+
value: 0.7833675564681725
|
222 |
+
name: Dot Accuracy@3
|
223 |
+
- type: dot_accuracy@5
|
224 |
+
value: 0.8716632443531828
|
225 |
+
name: Dot Accuracy@5
|
226 |
+
- type: dot_accuracy@10
|
227 |
+
value: 0.944558521560575
|
228 |
+
name: Dot Accuracy@10
|
229 |
+
- type: dot_precision@1
|
230 |
+
value: 0.5236139630390144
|
231 |
+
name: Dot Precision@1
|
232 |
+
- type: dot_precision@3
|
233 |
+
value: 0.5355920602327173
|
234 |
+
name: Dot Precision@3
|
235 |
+
- type: dot_precision@5
|
236 |
+
value: 0.5262833675564682
|
237 |
+
name: Dot Precision@5
|
238 |
+
- type: dot_precision@10
|
239 |
+
value: 0.47987679671457906
|
240 |
+
name: Dot Precision@10
|
241 |
+
- type: dot_recall@1
|
242 |
+
value: 0.05249346074400429
|
243 |
+
name: Dot Recall@1
|
244 |
+
- type: dot_recall@3
|
245 |
+
value: 0.1611742944618292
|
246 |
+
name: Dot Recall@3
|
247 |
+
- type: dot_recall@5
|
248 |
+
value: 0.2624932479345754
|
249 |
+
name: Dot Recall@5
|
250 |
+
- type: dot_recall@10
|
251 |
+
value: 0.4720126343473064
|
252 |
+
name: Dot Recall@10
|
253 |
+
- type: dot_ndcg@10
|
254 |
+
value: 0.5186376976657447
|
255 |
+
name: Dot Ndcg@10
|
256 |
+
- type: dot_mrr@10
|
257 |
+
value: 0.6671486424823181
|
258 |
+
name: Dot Mrr@10
|
259 |
+
- type: dot_map@100
|
260 |
+
value: 0.5240753568505577
|
261 |
+
name: Dot Map@100
|
262 |
+
- task:
|
263 |
+
type: information-retrieval
|
264 |
+
name: Information Retrieval
|
265 |
+
dataset:
|
266 |
+
name: core ru options
|
267 |
+
type: core-ru-options
|
268 |
+
metrics:
|
269 |
+
- type: dot_accuracy@1
|
270 |
+
value: 0.5297741273100616
|
271 |
+
name: Dot Accuracy@1
|
272 |
+
- type: dot_accuracy@3
|
273 |
+
value: 0.7864476386036962
|
274 |
+
name: Dot Accuracy@3
|
275 |
+
- type: dot_accuracy@5
|
276 |
+
value: 0.8706365503080082
|
277 |
+
name: Dot Accuracy@5
|
278 |
+
- type: dot_accuracy@10
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name: Dot Precision@1
|
2984 |
+
- type: dot_recall@1
|
2985 |
+
value: 0.05620993608597788
|
2986 |
+
name: Dot Recall@1
|
2987 |
+
- type: dot_ndcg@1
|
2988 |
+
value: 0.5451745379876797
|
2989 |
+
name: Dot Ndcg@1
|
2990 |
+
- type: dot_mrr@1
|
2991 |
+
value: 0.5451745379876797
|
2992 |
+
name: Dot Mrr@1
|
2993 |
+
- type: dot_map@100
|
2994 |
+
value: 0.48179945085007053
|
2995 |
+
name: Dot Map@100
|
2996 |
+
- task:
|
2997 |
+
type: information-retrieval
|
2998 |
+
name: Information Retrieval
|
2999 |
+
dataset:
|
3000 |
+
name: 'core_typos ru title matryoshka_dim 256 '
|
3001 |
+
type: core_typos-ru-title--matryoshka_dim-256--
|
3002 |
+
metrics:
|
3003 |
+
- type: dot_accuracy@1
|
3004 |
+
value: 0.5318275154004107
|
3005 |
+
name: Dot Accuracy@1
|
3006 |
+
- type: dot_precision@1
|
3007 |
+
value: 0.5318275154004107
|
3008 |
+
name: Dot Precision@1
|
3009 |
+
- type: dot_recall@1
|
3010 |
+
value: 0.054473541198236206
|
3011 |
+
name: Dot Recall@1
|
3012 |
+
- type: dot_ndcg@1
|
3013 |
+
value: 0.5318275154004107
|
3014 |
+
name: Dot Ndcg@1
|
3015 |
+
- type: dot_mrr@1
|
3016 |
+
value: 0.5318275154004107
|
3017 |
+
name: Dot Mrr@1
|
3018 |
+
- type: dot_map@100
|
3019 |
+
value: 0.4692266363313306
|
3020 |
+
name: Dot Map@100
|
3021 |
+
- task:
|
3022 |
+
type: information-retrieval
|
3023 |
+
name: Information Retrieval
|
3024 |
+
dataset:
|
3025 |
+
name: 'core_typos ru title matryoshka_dim 128 '
|
3026 |
+
type: core_typos-ru-title--matryoshka_dim-128--
|
3027 |
+
metrics:
|
3028 |
+
- type: dot_accuracy@1
|
3029 |
+
value: 0.5225872689938398
|
3030 |
+
name: Dot Accuracy@1
|
3031 |
+
- type: dot_precision@1
|
3032 |
+
value: 0.5225872689938398
|
3033 |
+
name: Dot Precision@1
|
3034 |
+
- type: dot_recall@1
|
3035 |
+
value: 0.05359620013865696
|
3036 |
+
name: Dot Recall@1
|
3037 |
+
- type: dot_ndcg@1
|
3038 |
+
value: 0.5225872689938398
|
3039 |
+
name: Dot Ndcg@1
|
3040 |
+
- type: dot_mrr@1
|
3041 |
+
value: 0.5225872689938398
|
3042 |
+
name: Dot Mrr@1
|
3043 |
+
- type: dot_map@100
|
3044 |
+
value: 0.4451705643146633
|
3045 |
+
name: Dot Map@100
|
3046 |
+
- task:
|
3047 |
+
type: information-retrieval
|
3048 |
+
name: Information Retrieval
|
3049 |
+
dataset:
|
3050 |
+
name: 'core_typos uk options matryoshka_dim 768 '
|
3051 |
+
type: core_typos-uk-options--matryoshka_dim-768--
|
3052 |
+
metrics:
|
3053 |
+
- type: dot_accuracy@1
|
3054 |
+
value: 0.43018480492813144
|
3055 |
+
name: Dot Accuracy@1
|
3056 |
+
- type: dot_precision@1
|
3057 |
+
value: 0.43018480492813144
|
3058 |
+
name: Dot Precision@1
|
3059 |
+
- type: dot_recall@1
|
3060 |
+
value: 0.04330169200020632
|
3061 |
+
name: Dot Recall@1
|
3062 |
+
- type: dot_ndcg@1
|
3063 |
+
value: 0.43018480492813144
|
3064 |
+
name: Dot Ndcg@1
|
3065 |
+
- type: dot_mrr@1
|
3066 |
+
value: 0.43018480492813144
|
3067 |
+
name: Dot Mrr@1
|
3068 |
+
- type: dot_map@100
|
3069 |
+
value: 0.42856816814675947
|
3070 |
+
name: Dot Map@100
|
3071 |
+
- task:
|
3072 |
+
type: information-retrieval
|
3073 |
+
name: Information Retrieval
|
3074 |
+
dataset:
|
3075 |
+
name: 'core_typos uk options matryoshka_dim 512 '
|
3076 |
+
type: core_typos-uk-options--matryoshka_dim-512--
|
3077 |
+
metrics:
|
3078 |
+
- type: dot_accuracy@1
|
3079 |
+
value: 0.419917864476386
|
3080 |
+
name: Dot Accuracy@1
|
3081 |
+
- type: dot_precision@1
|
3082 |
+
value: 0.419917864476386
|
3083 |
+
name: Dot Precision@1
|
3084 |
+
- type: dot_recall@1
|
3085 |
+
value: 0.042235882951851066
|
3086 |
+
name: Dot Recall@1
|
3087 |
+
- type: dot_ndcg@1
|
3088 |
+
value: 0.419917864476386
|
3089 |
+
name: Dot Ndcg@1
|
3090 |
+
- type: dot_mrr@1
|
3091 |
+
value: 0.419917864476386
|
3092 |
+
name: Dot Mrr@1
|
3093 |
+
- type: dot_map@100
|
3094 |
+
value: 0.42366350694238186
|
3095 |
+
name: Dot Map@100
|
3096 |
+
- task:
|
3097 |
+
type: information-retrieval
|
3098 |
+
name: Information Retrieval
|
3099 |
+
dataset:
|
3100 |
+
name: 'core_typos uk options matryoshka_dim 256 '
|
3101 |
+
type: core_typos-uk-options--matryoshka_dim-256--
|
3102 |
+
metrics:
|
3103 |
+
- type: dot_accuracy@1
|
3104 |
+
value: 0.42915811088295686
|
3105 |
+
name: Dot Accuracy@1
|
3106 |
+
- type: dot_precision@1
|
3107 |
+
value: 0.42915811088295686
|
3108 |
+
name: Dot Precision@1
|
3109 |
+
- type: dot_recall@1
|
3110 |
+
value: 0.04352310958558693
|
3111 |
+
name: Dot Recall@1
|
3112 |
+
- type: dot_ndcg@1
|
3113 |
+
value: 0.42915811088295686
|
3114 |
+
name: Dot Ndcg@1
|
3115 |
+
- type: dot_mrr@1
|
3116 |
+
value: 0.42915811088295686
|
3117 |
+
name: Dot Mrr@1
|
3118 |
+
- type: dot_map@100
|
3119 |
+
value: 0.41901039848919813
|
3120 |
+
name: Dot Map@100
|
3121 |
+
- task:
|
3122 |
+
type: information-retrieval
|
3123 |
+
name: Information Retrieval
|
3124 |
+
dataset:
|
3125 |
+
name: 'core_typos uk options matryoshka_dim 128 '
|
3126 |
+
type: core_typos-uk-options--matryoshka_dim-128--
|
3127 |
+
metrics:
|
3128 |
+
- type: dot_accuracy@1
|
3129 |
+
value: 0.42505133470225875
|
3130 |
+
name: Dot Accuracy@1
|
3131 |
+
- type: dot_precision@1
|
3132 |
+
value: 0.42505133470225875
|
3133 |
+
name: Dot Precision@1
|
3134 |
+
- type: dot_recall@1
|
3135 |
+
value: 0.043236480440550985
|
3136 |
+
name: Dot Recall@1
|
3137 |
+
- type: dot_ndcg@1
|
3138 |
+
value: 0.42505133470225875
|
3139 |
+
name: Dot Ndcg@1
|
3140 |
+
- type: dot_mrr@1
|
3141 |
+
value: 0.42505133470225875
|
3142 |
+
name: Dot Mrr@1
|
3143 |
+
- type: dot_map@100
|
3144 |
+
value: 0.4046885891906333
|
3145 |
+
name: Dot Map@100
|
3146 |
+
- task:
|
3147 |
+
type: information-retrieval
|
3148 |
+
name: Information Retrieval
|
3149 |
+
dataset:
|
3150 |
+
name: 'core_typos ru options matryoshka_dim 768 '
|
3151 |
+
type: core_typos-ru-options--matryoshka_dim-768--
|
3152 |
+
metrics:
|
3153 |
+
- type: dot_accuracy@1
|
3154 |
+
value: 0.44455852156057496
|
3155 |
+
name: Dot Accuracy@1
|
3156 |
+
- type: dot_precision@1
|
3157 |
+
value: 0.44455852156057496
|
3158 |
+
name: Dot Precision@1
|
3159 |
+
- type: dot_recall@1
|
3160 |
+
value: 0.04479658044777624
|
3161 |
+
name: Dot Recall@1
|
3162 |
+
- type: dot_ndcg@1
|
3163 |
+
value: 0.44455852156057496
|
3164 |
+
name: Dot Ndcg@1
|
3165 |
+
- type: dot_mrr@1
|
3166 |
+
value: 0.44455852156057496
|
3167 |
+
name: Dot Mrr@1
|
3168 |
+
- type: dot_map@100
|
3169 |
+
value: 0.42892229251421876
|
3170 |
+
name: Dot Map@100
|
3171 |
+
- task:
|
3172 |
+
type: information-retrieval
|
3173 |
+
name: Information Retrieval
|
3174 |
+
dataset:
|
3175 |
+
name: 'core_typos ru options matryoshka_dim 512 '
|
3176 |
+
type: core_typos-ru-options--matryoshka_dim-512--
|
3177 |
+
metrics:
|
3178 |
+
- type: dot_accuracy@1
|
3179 |
+
value: 0.42299794661190965
|
3180 |
+
name: Dot Accuracy@1
|
3181 |
+
- type: dot_precision@1
|
3182 |
+
value: 0.42299794661190965
|
3183 |
+
name: Dot Precision@1
|
3184 |
+
- type: dot_recall@1
|
3185 |
+
value: 0.042604436939501555
|
3186 |
+
name: Dot Recall@1
|
3187 |
+
- type: dot_ndcg@1
|
3188 |
+
value: 0.42299794661190965
|
3189 |
+
name: Dot Ndcg@1
|
3190 |
+
- type: dot_mrr@1
|
3191 |
+
value: 0.42299794661190965
|
3192 |
+
name: Dot Mrr@1
|
3193 |
+
- type: dot_map@100
|
3194 |
+
value: 0.4243465119995708
|
3195 |
+
name: Dot Map@100
|
3196 |
+
- task:
|
3197 |
+
type: information-retrieval
|
3198 |
+
name: Information Retrieval
|
3199 |
+
dataset:
|
3200 |
+
name: 'core_typos ru options matryoshka_dim 256 '
|
3201 |
+
type: core_typos-ru-options--matryoshka_dim-256--
|
3202 |
+
metrics:
|
3203 |
+
- type: dot_accuracy@1
|
3204 |
+
value: 0.4260780287474333
|
3205 |
+
name: Dot Accuracy@1
|
3206 |
+
- type: dot_precision@1
|
3207 |
+
value: 0.4260780287474333
|
3208 |
+
name: Dot Precision@1
|
3209 |
+
- type: dot_recall@1
|
3210 |
+
value: 0.04284840741387426
|
3211 |
+
name: Dot Recall@1
|
3212 |
+
- type: dot_ndcg@1
|
3213 |
+
value: 0.4260780287474333
|
3214 |
+
name: Dot Ndcg@1
|
3215 |
+
- type: dot_mrr@1
|
3216 |
+
value: 0.4260780287474333
|
3217 |
+
name: Dot Mrr@1
|
3218 |
+
- type: dot_map@100
|
3219 |
+
value: 0.4187583987858516
|
3220 |
+
name: Dot Map@100
|
3221 |
+
- task:
|
3222 |
+
type: information-retrieval
|
3223 |
+
name: Information Retrieval
|
3224 |
+
dataset:
|
3225 |
+
name: 'core_typos ru options matryoshka_dim 128 '
|
3226 |
+
type: core_typos-ru-options--matryoshka_dim-128--
|
3227 |
+
metrics:
|
3228 |
+
- type: dot_accuracy@1
|
3229 |
+
value: 0.446611909650924
|
3230 |
+
name: Dot Accuracy@1
|
3231 |
+
- type: dot_precision@1
|
3232 |
+
value: 0.446611909650924
|
3233 |
+
name: Dot Precision@1
|
3234 |
+
- type: dot_recall@1
|
3235 |
+
value: 0.04509914507725234
|
3236 |
+
name: Dot Recall@1
|
3237 |
+
- type: dot_ndcg@1
|
3238 |
+
value: 0.446611909650924
|
3239 |
+
name: Dot Ndcg@1
|
3240 |
+
- type: dot_mrr@1
|
3241 |
+
value: 0.446611909650924
|
3242 |
+
name: Dot Mrr@1
|
3243 |
+
- type: dot_map@100
|
3244 |
+
value: 0.40468950392929137
|
3245 |
+
name: Dot Map@100
|
3246 |
---
|
3247 |
|
3248 |
# SentenceTransformer based on intfloat/multilingual-e5-base
|