Model: luanafelbarros/bert-base-multilingual-cased-matryoshka-mkqa
Author: luanafelbarros
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:234000, loss:MSELoss, arxiv:1908.10084, arxiv:2004.09813, base_model:google-bert/bert-base-multilingual-cased, base_model:finetune:google-bert/bert-base-multilingual-cased, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: google-bert/bert-base-multilingual-cased
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:234000, loss:MSELoss
base_model: google-bert/bert-base-multilingual-cased
widget: source_sentence: who sings in spite of ourselves with john prine
sentences: es, når ble michael jordan draftet til nba, quien canta en spite of ourselves con john prine, source_sentence: who wrote when you look me in the eyes
sentences: متى بدأت الفتاة الكشفية في بيع ملفات تعريف الارتباط, A écrit when you look me in the eyes, fr, source_sentence: when was fathers day made a national holiday
sentences: wann wurde der Vatertag zum nationalen Feiertag, de,  អ្នកណាច្រៀង i want to sing you a love song, source_sentence: what is the density of the continental crust
sentences: cuál es la densidad de la corteza continental, wie zingt i want to sing you a love song, es, source_sentence: who wrote the song i shot the sheriff
sentences: Quel est l'âge légal pour consommer du vin au Canada?, i shot the sheriff şarkısını kim besteledi, tr
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: negative_mse
model-index: name: SentenceTransformer based on google-bert/bert-base-multilingual-cased
results: task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to ar
type: MSE-val-en-to-ar
metrics: type: negative_mse
value: -18.93259286880493
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to da
type: MSE-val-en-to-da
metrics: type: negative_mse
value: -15.68576693534851
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to de
type: MSE-val-en-to-de
metrics: type: negative_mse
value: -16.125640273094177
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to en
type: MSE-val-en-to-en
metrics: type: negative_mse
value: -13.388358056545258
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to es
type: MSE-val-en-to-es
metrics: type: negative_mse
value: -15.648126602172852
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to fi
type: MSE-val-en-to-fi
metrics: type: negative_mse
value: -17.174141108989716
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to fr
type: MSE-val-en-to-fr
metrics: type: negative_mse
value: -15.814268589019775
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to he
type: MSE-val-en-to-he
metrics: type: negative_mse
value: -18.483880162239075
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to hu
type: MSE-val-en-to-hu
metrics: type: negative_mse
value: -17.58536398410797
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to it
type: MSE-val-en-to-it
metrics: type: negative_mse
value: -15.706634521484375
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to ja
type: MSE-val-en-to-ja
metrics: type: negative_mse
value: -17.800691723823547
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to ko
type: MSE-val-en-to-ko
metrics: type: negative_mse
value: -19.26662176847458
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to km
type: MSE-val-en-to-km
metrics: type: negative_mse
value: -28.38749885559082
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to ms
type: MSE-val-en-to-ms
metrics: type: negative_mse
value: -15.783128142356873
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to nl
type: MSE-val-en-to-nl
metrics: type: negative_mse
value: -15.027229487895966
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to no
type: MSE-val-en-to-no
metrics: type: negative_mse
value: -15.598368644714355
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to pl
type: MSE-val-en-to-pl
metrics: type: negative_mse
value: -16.64138436317444
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to pt
type: MSE-val-en-to-pt
metrics: type: negative_mse
value: -15.76906442642212
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to ru
type: MSE-val-en-to-ru
metrics: type: negative_mse
value: -16.91163182258606
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to sv
type: MSE-val-en-to-sv
metrics: type: negative_mse
value: -15.555775165557861
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to th
type: MSE-val-en-to-th
metrics: type: negative_mse
value: -18.37025284767151
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to tr
type: MSE-val-en-to-tr
metrics: type: negative_mse
value: -16.945864260196686
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to vi
type: MSE-val-en-to-vi
metrics: type: negative_mse
value: -16.482776403427124
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to zh cn
type: MSE-val-en-to-zh_cn
metrics: type: negative_mse
value: -16.996394097805023
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to zh hk
type: MSE-val-en-to-zh_hk
metrics: type: negative_mse
value: -16.82070791721344
name: Negative Mse
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: MSE val en to zh tw
type: MSE-val-en-to-zh_tw
metrics: type: negative_mse
value: -17.381685972213745
name: Negative Mse
verified: no
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Created: 2024-12-07 14:40:06