Model: CATIE-AQ/CSR_Sparse_Encoder_camembert-large_STS
Author: CATIE-AQ
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, camembert, sparse-encoder, sparse, csr, generated_from_trainer, dataset_size:12227, loss:SpladeLoss, loss:SparseCosineSimilarityLoss, loss:FlopsLoss, feature-extraction, fr, dataset:CATIE-AQ/frenchSTS, arxiv:1908.10084, arxiv:2205.04733, arxiv:2004.05665, base_model:almanach/camembert-large, base_model:finetune:almanach/camembert-large, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: almanach/camembert-large
Card metadata: language: fr
tags: sentence-transformers, sparse-encoder, sparse, csr, generated_from_trainer, dataset_size:12227, loss:SpladeLoss, loss:SparseCosineSimilarityLoss, loss:FlopsLoss
base_model: almanach/camembert-large
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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: CSR Sparse Encoder
results: task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts dev
type: sts-dev
metrics: type: pearson_cosine
value: 0.730659053269462
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7229701164875609
name: Spearman Cosine
verified: no, type: active_dims
value: 239.04523468017578
name: Active Dims
verified: no, type: sparsity_ratio
value: 0.9416393470019102
name: Sparsity Ratio
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: sts test
type: sts-test
metrics: type: pearson_cosine
value: 0.7536670661877773
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.7255882185109458
name: Spearman Cosine
verified: no, type: active_dims
value: 229.7224884033203
name: Active Dims
verified: no, type: sparsity_ratio
value: 0.9439154081046581
name: Sparsity Ratio
verified: no
Likes: 2 | All-time downloads: 52
Created: 2025-07-02 10:46:45