Model: CATIE-AQ/SPLADE_EuroBERT-210m_STS
Author: CATIE-AQ
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, eurobert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:12227, loss:SpladeLoss, loss:SparseCosineSimilarityLoss, loss:FlopsLoss, feature-extraction, custom_code, fr, dataset:CATIE-AQ/frenchSTS, arxiv:1908.10084, arxiv:2205.04733, arxiv:2004.05665, base_model:EuroBERT/EuroBERT-210m, base_model:finetune:EuroBERT/EuroBERT-210m, model-index, endpoints_compatible, region:us
Base models (finetune): id: EuroBERT/EuroBERT-210m
Card metadata: language: fr
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:12227, loss:SpladeLoss, loss:SparseCosineSimilarityLoss, loss:FlopsLoss
base_model: EuroBERT/EuroBERT-210m
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datasets: CATIE-AQ/frenchSTS
pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: pearson_cosine, spearman_cosine, active_dims, sparsity_ratio
model-index: name: SPLADE Sparse Encoder
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.36927990368160857
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.37469558585276597
name: Spearman Cosine
verified: no, type: active_dims
value: 11.744894981384277
name: Active Dims
verified: no, type: sparsity_ratio
value: 0.9999084261556466
name: Sparsity Ratio
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.35396199996568556
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.3848714264523539
name: Spearman Cosine
verified: no, type: active_dims
value: 10.178544044494629
name: Active Dims
verified: no, type: sparsity_ratio
value: 0.9999206388469585
name: Sparsity Ratio
verified: no
Likes: 2 | All-time downloads: 284
Created: 2025-07-02 14:09:56