Model: sparse-encoder/splade-camembert-base-v2
Author: sparse-encoder
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, camembert, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:483497, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss, feature-extraction, fr, dataset:arthurbresnu/msmarco-Qwen3-Reranker-0.6B-french, arxiv:1908.10084, arxiv:2205.04733, arxiv:2010.02666, arxiv:2004.05665, base_model:almanach/camembert-base, base_model:finetune:almanach/camembert-base, license:apache-2.0, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: almanach/camembert-base
Card metadata: language: fr
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:483497, loss:SpladeLoss, loss:SparseMarginMSELoss, loss:FlopsLoss
base_model: almanach/camembert-base
widget: lequel des muscles abdominaux est le plus superficiel, les systèmes pos ont-ils besoin d'internet, L'indice de stress météorologique, ou WSI, est une mesure relative des conditions météorologiques, souvent utilisée comme indicateur de confort. L'indice, un nombre compris entre 0 et 100, représente le pourcentage de temps passé avec des températures inférieures à la température actuelle, pour un lieu, un jour et une heure donnés., comment rendre les planchers de sous-sol lisses, De quelle couleur est le sang. Le sang veineux (sauf dans les veines pulmonaires) est pauvre en oxygène, de sorte que l'hémoglobine donne au sang une couleur rouge foncé. Une fois que le sang a traversé les lits capillaires des poumons, le sang sera rouge vif avec l'hémoglobine saturée d'oxygène gazeux.
datasets: arthurbresnu/msmarco-Qwen3-Reranker-0.6B-french
pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: dot_accuracy@1, dot_accuracy@3, dot_accuracy@5, dot_accuracy@10, dot_precision@1, dot_precision@3, dot_precision@5, dot_precision@10, dot_recall@1, dot_recall@3, dot_recall@5, dot_recall@10, dot_ndcg@10, dot_mrr@10, dot_map@100, query_active_dims, query_sparsity_ratio, corpus_active_dims, corpus_sparsity_ratio, pearson_cosine, spearman_cosine, active_dims, sparsity_ratio
model-index: name: splade-camembert-base-v2
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFrenchMSMARCO
type: NanoFrenchMSMARCO
metrics: type: dot_accuracy@1
value: 0.36
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.56
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.82
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.36
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.18666666666666668
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.128
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08199999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.36
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.56
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.64
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.82
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5672503034893386
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.48932539682539683
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4964516557112465
name: Dot Map@100
verified: no, type: query_active_dims
value: 97.19999694824219
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9969629746305814
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 320.9422912597656
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9899721202543427
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.38
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.58
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.68
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.19333333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.136
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.38
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.58
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.8
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.57316494185967
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5022619047619048
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5113980065685948
name: Dot Map@100
verified: no, type: query_active_dims
value: 93.54000091552734
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9970773316383212
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 340.59747314453125
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9893579917780181
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFrenchNFCorpus
type: NanoFrenchNFCorpus
metrics: type: dot_accuracy@1
value: 0.38
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.54
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.56
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.62
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.33333333333333326
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.31200000000000006
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.024565149084599936
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.048429838495373294
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.07398906948015295
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1386804380914821
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3125775453054018
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.46341269841269833
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.12624373866292496
name: Dot Map@100
verified: no, type: query_active_dims
value: 107.4000015258789
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9966442742844593
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 411.68572998046875
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9871368308082965
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.56
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.64
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.3133333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.29600000000000004
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.27399999999999997
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.025143380377116945
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.054455110237352056
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.09253685233430252
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.12288711045433186
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3151161614045225
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4813015873015873
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.12802106820878023
name: Dot Map@100
verified: no, type: query_active_dims
value: 103.80000305175781
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9967567566614042
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 441.6481628417969
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9862006510594659
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFrenchNQ
type: NanoFrenchNQ
metrics: type: dot_accuracy@1
value: 0.32
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.64
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.66
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.76
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.32
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.21333333333333332
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14400000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08199999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.31
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.6
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.65
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.74
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5328359660527703
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4699126984126984
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.46572477868807666
name: Dot Map@100
verified: no, type: query_active_dims
value: 111.55999755859375
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9965142947177443
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 475.15411376953125
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9851537536706911
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.3
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.64
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.76
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.21333333333333332
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.15200000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08199999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.29
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.6
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.69
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.74
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5375748474117438
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.47516666666666657
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4707188202009631
name: Dot Map@100
verified: no, type: query_active_dims
value: 110.27999877929688
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9965542884305797
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 506.67071533203125
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9841690137374776
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: FrenchNanoBEIR mean
type: FrenchNanoBEIR_mean
metrics: type: dot_accuracy@1
value: 0.35333333333333333
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5800000000000001
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6200000000000001
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7333333333333334
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.35333333333333333
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24444444444444438
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19466666666666668
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.14466666666666664
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2315217163615333
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.40280994616512444
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.45466302316005097
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5662268126971607
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4708879382825035
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.47421693121693115
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.3628067243540827
name: Dot Map@100
verified: no, type: query_active_dims
value: 105.38666534423828
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9967071812109284
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 401.09131289117585
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9874678546198664
name: Corpus Sparsity Ratio
verified: no, type: dot_accuracy@1
value: 0.49648351648351646
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6690423861852433
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7583987441130299
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8260910518053375
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.49648351648351646
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.31164835164835164
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.25071271585557303
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.1776452119309262
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.2775106435854442
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.437530782043344
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5214228074903354
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5960608203941352
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5462725147946055
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.6034051979766266
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.463521095059661
name: Dot Map@100
verified: no, type: query_active_dims
value: 183.74730585977
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.994258793755358
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 435.1348356166257
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9864041607368653
name: Corpus Sparsity Ratio
verified: no, task: type: semantic-similarity
name: Semantic Similarity
dataset: name: frenchSTS dev
type: frenchSTS-dev
metrics: type: pearson_cosine
value: 0.7288033933783795
name: Pearson Cosine
verified: no, type: spearman_cosine
value: 0.6906760527205718
name: Spearman Cosine
verified: no, type: active_dims
value: 163.7789306640625
name: Active Dims
verified: no, type: sparsity_ratio
value: 0.994882707993624
name: Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFrenchClimateFEVER
type: NanoFrenchClimateFEVER
metrics: type: dot_accuracy@1
value: 0.18
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.36
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.5
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.6
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.18
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.12666666666666665
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.10800000000000001
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.076
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.075
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.15733333333333333
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.22966666666666669
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.31133333333333335
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.22526332464375717
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.2981904761904762
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.16918567447635577
name: Dot Map@100
verified: no, type: query_active_dims
value: 299
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9906577097328543
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 427.4809265136719
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9866433080295681
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFrenchDBPedia
type: NanoFrenchDBPedia
metrics: type: dot_accuracy@1
value: 0.68
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.86
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.92
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.94
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.68
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.5800000000000001
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.536
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.484
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.05824354525741762
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.16112675620793346
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.20990640365085567
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.33848138160777524
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5830264831939957
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.7801904761904762
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.43519800452823887
name: Dot Map@100
verified: no, type: query_active_dims
value: 107.30000305175781
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9966473987485781
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 486.1007385253906
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9848117250890364
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFrenchFEVER
type: NanoFrenchFEVER
metrics: type: dot_accuracy@1
value: 0.7
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.8
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.92
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.98
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.7
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.2866666666666666
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19599999999999998
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.10399999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.66
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.7733333333333333
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.8833333333333333
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9433333333333332
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.8064811061401568
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verified: no
Likes: 0 | All-time downloads: 163
Created: 2025-07-09 18:11:33