Model: tomaarsen/xlm-roberta-base-multilingual-en-ar-fr-de-es-tr-it
Author: tomaarsen
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, loss:MSELoss, en, multilingual, ar, bg, ca, cs, da, de, el, es, et, fa, fi, fr, gl, gu, he, hi, hr, hu, hy, id, it, ja, ka, ko, ku, lt, lv, mk, mn, mr, ms, my, nb, nl, pl, pt, ro, ru, sk, sl, sq, sr, sv, th, tr, uk, ur, vi, zh, arxiv:1908.10084, arxiv:2004.09813, base_model:FacebookAI/xlm-roberta-base, base_model:finetune:FacebookAI/xlm-roberta-base, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: FacebookAI/xlm-roberta-base
Card metadata: language: en, multilingual, ar, bg, ca, cs, da, de, el, es, et, fa, fi, fr, gl, gu, he, hi, hr, hu, hy, id, it, ja, ka, ko, ku, lt, lv, mk, mn, mr, ms, my, nb, nl, pl, pt, ro, ru, sk, sl, sq, sr, sv, th, tr, uk, ur, vi, zh
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, loss:MSELoss
base_model: FacebookAI/xlm-roberta-base
metrics: negative_mse, src2trg_accuracy, trg2src_accuracy, mean_accuracy, pearson_cosine, spearman_cosine, pearson_manhattan, spearman_manhattan, pearson_euclidean, spearman_euclidean, pearson_dot, spearman_dot, pearson_max, spearman_max
widget: source_sentence: Grazie tante.
sentences: Grazie infinite., Non c'è un solo architetto diplomato in tutta la Contea., Le aziende non credevano che fosse loro responsabilità., source_sentence: Avance rapide.
sentences: Très bien., Donc, je voulais faire quelque chose de spécial aujourd'hui., Et ils ne tiennent pas non plus compte des civils qui souffrent de façon plus générale., source_sentence: E' importante.
sentences: E' una materia fondamentale., Sono qui oggi per mostrare le mie fotografie dei Lakota., Non ero seguito da un corteo di macchine., source_sentence: Müfettişler…
sentences: İşçi sınıfına dair birşey., Antlaşmaya göre, o topraklar bağımsız bir ulustur., Son derece düz ve bataklık bir coğrafya., source_sentence: Wir sind eins.
sentences: Das versuchen wir zu bieten., Ihre Gehirne sind ungefähr 100 Millionen Mal komplizierter., Hinter mir war gar keine Autokolonne.
pipeline_tag: sentence-similarity
co2_eq_emissions: emissions: 23.27766676567869
energy_consumed: 0.05988563672345058
source: codecarbon
training_type: fine-tuning
on_cloud: no
cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
ram_total_size: 31.777088165283203
hours_used: 0.179
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: SentenceTransformer based on FacebookAI/xlm-roberta-base
results: task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: en ar
type: en-ar
metrics: type: negative_mse
value: -20.395545661449432
name: Negative Mse
verified: no, task: type: translation
name: Translation
dataset: name: en ar
type: en-ar
metrics: type: src2trg_accuracy
value: 0.7603222557905337
name: Src2Trg Accuracy
verified: no, type: trg2src_accuracy
value: 0.7824773413897281
name: Trg2Src Accuracy
verified: no, type: mean_accuracy
value: 0.7713997985901309
name: Mean Accuracy
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts17 en ar test
type: sts17-en-ar-test
metrics: type: pearson_cosine
value: 0.40984231242712876
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.4425400227662121
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.4068582195810505
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.4194184278683204
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.38014538983821944
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.38651157412220366
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.4077636003696869
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.37682818098716137
name: Spearman Dot
verified: no, type: pearson_max
value: 0.40984231242712876
name: Pearson Max
verified: no, type: spearman_max
value: 0.4425400227662121
name: Spearman Max
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: en fr
type: en-fr
metrics: type: negative_mse
value: -19.62321847677231
name: Negative Mse
verified: no, task: type: translation
name: Translation
dataset: name: en fr
type: en-fr
metrics: type: src2trg_accuracy
value: 0.8981854838709677
name: Src2Trg Accuracy
verified: no, type: trg2src_accuracy
value: 0.8901209677419355
name: Trg2Src Accuracy
verified: no, type: mean_accuracy
value: 0.8941532258064516
name: Mean Accuracy
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts17 fr en test
type: sts17-fr-en-test
metrics: type: pearson_cosine
value: 0.5017606394120642
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.5333594401322842
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.4461108010622129
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.45470883061015244
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.44313058261278737
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.44806261424208443
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.40165874540768454
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.41339619568003433
name: Spearman Dot
verified: no, type: pearson_max
value: 0.5017606394120642
name: Pearson Max
verified: no, type: spearman_max
value: 0.5333594401322842
name: Spearman Max
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: en de
type: en-de
metrics: type: negative_mse
value: -19.727922976017
name: Negative Mse
verified: no, task: type: translation
name: Translation
dataset: name: en de
type: en-de
metrics: type: src2trg_accuracy
value: 0.8920282542885973
name: Src2Trg Accuracy
verified: no, type: trg2src_accuracy
value: 0.8910191725529768
name: Trg2Src Accuracy
verified: no, type: mean_accuracy
value: 0.8915237134207871
name: Mean Accuracy
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts17 en de test
type: sts17-en-de-test
metrics: type: pearson_cosine
value: 0.5262798164154752
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.5618005565496922
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.5084907192868734
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.5218456102379673
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.5055278909013912
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.5206420646365548
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.3742195121194434
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.3691237073066472
name: Spearman Dot
verified: no, type: pearson_max
value: 0.5262798164154752
name: Pearson Max
verified: no, type: spearman_max
value: 0.5618005565496922
name: Spearman Max
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: en es
type: en-es
metrics: type: negative_mse
value: -19.472387433052063
name: Negative Mse
verified: no, task: type: translation
name: Translation
dataset: name: en es
type: en-es
metrics: type: src2trg_accuracy
value: 0.9434343434343434
name: Src2Trg Accuracy
verified: no, type: trg2src_accuracy
value: 0.9464646464646465
name: Trg2Src Accuracy
verified: no, type: mean_accuracy
value: 0.944949494949495
name: Mean Accuracy
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts17 es en test
type: sts17-es-en-test
metrics: type: pearson_cosine
value: 0.4944989376773328
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.502096516024397
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.44447965250345656
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.428444032581959
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.43569887867301704
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.4169602915053127
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.3751122541083453
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.37961391381473436
name: Spearman Dot
verified: no, type: pearson_max
value: 0.4944989376773328
name: Pearson Max
verified: no, type: spearman_max
value: 0.502096516024397
name: Spearman Max
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: en tr
type: en-tr
metrics: type: negative_mse
value: -20.754697918891907
name: Negative Mse
verified: no, task: type: translation
name: Translation
dataset: name: en tr
type: en-tr
metrics: type: src2trg_accuracy
value: 0.743202416918429
name: Src2Trg Accuracy
verified: no, type: trg2src_accuracy
value: 0.743202416918429
name: Trg2Src Accuracy
verified: no, type: mean_accuracy
value: 0.743202416918429
name: Mean Accuracy
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts17 en tr test
type: sts17-en-tr-test
metrics: type: pearson_cosine
value: 0.5544917743538167
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.581923120433332
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.5103770986779784
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.5087986920849596
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.5045523005860614
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.5053157708914061
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.47262046401401747
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.4297595645819756
name: Spearman Dot
verified: no, type: pearson_max
value: 0.5544917743538167
name: Pearson Max
verified: no, type: spearman_max
value: 0.581923120433332
name: Spearman Max
verified: no, task: type: knowledge-distillation
name: Knowledge Distillation
dataset: name: en it
type: en-it
metrics: type: negative_mse
value: -19.76993829011917
name: Negative Mse
verified: no, task: type: translation
name: Translation
dataset: name: en it
type: en-it
metrics: type: src2trg_accuracy
value: 0.878147029204431
name: Src2Trg Accuracy
verified: no, type: trg2src_accuracy
value: 0.8831822759315207
name: Trg2Src Accuracy
verified: no, type: mean_accuracy
value: 0.8806646525679758
name: Mean Accuracy
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts17 it en test
type: sts17-it-en-test
metrics: type: pearson_cosine
value: 0.506365733914274
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.5250284136808592
name: Spearman Cosine
verified: no, type: pearson_manhattan
value: 0.45167598168533407
name: Pearson Manhattan
verified: no, type: spearman_manhattan
value: 0.46227952068355316
name: Spearman Manhattan
verified: no, type: pearson_euclidean
value: 0.4423426674780287
name: Pearson Euclidean
verified: no, type: spearman_euclidean
value: 0.45072801992723094
name: Spearman Euclidean
verified: no, type: pearson_dot
value: 0.4201989776020174
name: Pearson Dot
verified: no, type: spearman_dot
value: 0.42253906764732746
name: Spearman Dot
verified: no, type: pearson_max
value: 0.506365733914274
name: Pearson Max
verified: no, type: spearman_max
value: 0.5250284136808592
name: Spearman Max
verified: no
Likes: 6 | All-time downloads: 2301
Created: 2024-05-02 14:27:33