Model: mics-nlp/xlm-roberta-small-all-nli-triplet
Author: mics-nlp
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, tensorboard, safetensors, xlm-roberta, sentence-similarity, feature-extraction, dataset_size:100K<n<1M, loss:CachedMultipleNegativesRankingLoss, en, arxiv:1908.10084, arxiv:2101.06983, base_model:Unbabel/xlm-roberta-comet-small, base_model:finetune:Unbabel/xlm-roberta-comet-small, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: Unbabel/xlm-roberta-comet-small
Card metadata: language: en
library_name: sentence-transformers
tags: sentence-transformers, sentence-similarity, feature-extraction, dataset_size:100K<n<1M, loss:CachedMultipleNegativesRankingLoss
base_model: Unbabel/xlm-roberta-comet-small
metrics: cosine_accuracy, dot_accuracy, manhattan_accuracy, euclidean_accuracy, max_accuracy
widget: source_sentence: There's a dock
sentences: There is a door., the animal is running, The woman is singing., source_sentence: The boy scowls
sentences: A boy is blowing bubbles., He is playing a song., They are driving cars., source_sentence: A bird flying.
sentences: A butterfly flys freely., A dog carries a bone., Two dogs are playing., source_sentence: A woman sings.
sentences: The woman is singing., The man is in a city., there is a man in a pool., source_sentence: a baby smiling
sentences: A baby is unhappy., The dog has big ears., They are driving cars.
pipeline_tag: sentence-similarity
model-index: name: SentenceTransformer based on Unbabel/xlm-roberta-comet-small
results: task: type: triplet
name: Triplet
dataset: name: all nli dev
type: all-nli-dev
metrics: type: cosine_accuracy
value: 0.849
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.163
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.837
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.841
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.849
name: Max Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: all nli test
type: all-nli-test
metrics: type: cosine_accuracy
value: 0.839
name: Cosine Accuracy
verified: no, type: dot_accuracy
value: 0.15
name: Dot Accuracy
verified: no, type: manhattan_accuracy
value: 0.827
name: Manhattan Accuracy
verified: no, type: euclidean_accuracy
value: 0.827
name: Euclidean Accuracy
verified: no, type: max_accuracy
value: 0.839
name: Max Accuracy
verified: no
Likes: 1 | All-time downloads: 257
Created: 2024-06-04 10:05:35