Model: luanafelbarros/xlm-roberta-base-multilingual-mkqa
Author: luanafelbarros
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:234000, loss:MSELoss, arxiv:1908.10084, arxiv:2004.09813, base_model:FacebookAI/xlm-roberta-base, base_model:finetune:FacebookAI/xlm-roberta-base, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: FacebookAI/xlm-roberta-base
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:234000, loss:MSELoss
base_model: FacebookAI/xlm-roberta-base
widget: source_sentence: the night before the night before christmas movie
sentences: hu,  តើការប្រកួតបាល់បោះលីកធំជាងគេដែលវែងជាងគេបំផុតក្នុងប្រវត្តិសាស្ត្រមានអ្វីខ្លះ, Másnapos Karácsony, source_sentence: when did star wars a new hope come out
sentences: Koska alexandrian kirjasto tuhoutui tulipalossa, bilakah star wars a new hope keluar, ms, source_sentence: what is the relative location of new york city
sentences: ما هو الموقع النسبي لمدينة نيويورك, ar, dov'è stato girato il film i cannoni di Navarone, source_sentence: how many miles from albuquerque new mexico to amarillo texas
sentences: сколько миль от альбукерке нью мексико до амарилло техас, qui a chanté we all live in a yellow submarine, ru, source_sentence: where does food wars anime end in the manga
sentences: food wars 动漫是在漫画哪里结束的, 《食戟之靈》漫畫幾時完, zh_hk
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: negative_mse
model-index: name: SentenceTransformer based on FacebookAI/xlm-roberta-base
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: -19.935108721256256
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: -16.227059066295624
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: -17.03149825334549
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: -14.746585488319397
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: -16.7389914393425
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: -17.699478566646576
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: -16.85505211353302
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: -19.114328920841217
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: -17.86249130964279
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: -16.931141912937164
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: -18.774642050266266
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: -19.68335211277008
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: -19.339339435100555
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: -16.49850606918335
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: -15.982428193092346
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: -16.261471807956696
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: -17.510776221752167
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: -16.528253257274628
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: -17.358270287513733
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: -16.31281077861786
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: -17.586874961853027
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: -17.390474677085876
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: -17.174969613552094
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: -18.12549978494644
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: -18.189936876296997
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: -18.67867261171341
name: Negative Mse
verified: no
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Created: 2024-12-04 13:14:54