Model: sparse-encoder-testing/inference-free-splade-bert-tiny-nq
Author: sparse-encoder-testing
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, sparse-encoder, sparse, asymmetric, inference-free, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss, feature-extraction, en, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, arxiv:2205.04733, arxiv:1705.00652, arxiv:2004.05665, license:apache-2.0, model-index, co2_eq_emissions, endpoints_compatible, region:us
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, asymmetric, inference-free, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss
widget: Rollin' (Limp Bizkit song) The music video was filmed atop the South Tower of the former World Trade Center in New York City. The introduction features Ben Stiller and Stephen Dorff mistaking Fred Durst for the valet and giving him the keys to their Bentley Azure. Also making a cameo is break dancer Mr. Wiggles. The rest of the video has several cuts to Durst and his bandmates hanging out of the Bentley as they drive about Manhattan. The song Ben Stiller is playing at the beginning is "My Generation" from the same album. The video also features scenes of Fred Durst with five girls dancing in a room. The video was filmed around the same time as the film Zoolander, which explains Stiller and Dorff's appearance. Fred Durst has a small cameo in that film., who played the dj in the movie the warriors, Lionel Messi Born and raised in central Argentina, Messi was diagnosed with a growth hormone deficiency as a child. At age 13, he relocated to Spain to join Barcelona, who agreed to pay for his medical treatment. After a fast progression through Barcelona's youth academy, Messi made his competitive debut aged 17 in October 2004. Despite being injury-prone during his early career, he established himself as an integral player for the club within the next three years, finishing 2007 as a finalist for both the Ballon d'Or and FIFA World Player of the Year award, a feat he repeated the following year. His first uninterrupted campaign came in the 2008â€“09 season, during which he helped Barcelona achieve the first treble in Spanish football. At 22 years old, Messi won the Ballon d'Or and FIFA World Player of the Year award by record voting margins., Send In the Clowns "Send In the Clowns" is a song written by Stephen Sondheim for the 1973 musical A Little Night Music, an adaptation of Ingmar Bergman's film Smiles of a Summer Night. It is a ballad from Act Two, in which the character Desirée reflects on the ironies and disappointments of her life. Among other things, she looks back on an affair years earlier with the lawyer Fredrik, who was deeply in love with her but whose marriage proposals she had rejected. Meeting him after so long, she realizes she is in love with him and finally ready to marry him, but now it is he who rejects her: he is in an unconsummated marriage with a much younger woman. Desirée proposes marriage to rescue him from this situation, but he declines, citing his dedication to his bride. Reacting to his rejection, Desirée sings this song. The song is later reprised as a coda after Fredrik's young wife runs away with his son, and Fredrik is finally free to accept Desirée's offer.[1]
datasets: sentence-transformers/natural-questions
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
co2_eq_emissions: emissions: 0.08091219208784432
energy_consumed: 0.03403649566911146
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: 0.1
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: Inference-free SPLADE BERT-tiny trained on Natural-Questions tuples
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO
type: NanoMSMARCO
metrics: type: dot_accuracy@1
value: 0.28
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.48
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.54
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.68
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.28
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.15999999999999998
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.10800000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.068
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.28
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.48
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.54
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.68
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4712098455669033
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4061269841269841
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.42140578268075485
name: Dot Map@100
verified: no, type: query_active_dims
value: 7.360000133514404
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9997588624554906
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 182.14356994628906
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9940323841836612
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus
type: NanoNFCorpus
metrics: type: dot_accuracy@1
value: 0.46
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.64
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.46
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.38
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.34
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.264
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.04441960931285628
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07834808274816461
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.11501385338572513
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.13826891393122565
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.3362315857787886
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5348571428571429
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.1428111004748431
name: Dot Map@100
verified: no, type: query_active_dims
value: 5.739999771118164
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9998119389367958
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 268.686767578125
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9911969475270912
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ
type: NanoNQ
metrics: type: dot_accuracy@1
value: 0.3
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.56
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.18666666666666665
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07200000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.3
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.54
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.66
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.67
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4962070267718764
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.44433333333333325
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.44473112450804114
name: Dot Map@100
verified: no, type: query_active_dims
value: 10.420000076293945
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.999658606903994
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 156.8834228515625
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9948599887670676
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean
type: NanoBEIR_mean
metrics: type: dot_accuracy@1
value: 0.3466666666666667
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5466666666666667
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.6266666666666667
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.6933333333333334
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3466666666666667
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.24222222222222223
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19600000000000004
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.13466666666666668
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.20813986977095209
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.36611602758272155
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.43833795112857504
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.4960896379770752
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4345494860391894
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4617724867724868
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.33631600255454636
name: Dot Map@100
verified: no, type: query_active_dims
value: 7.839999993642171
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9997431360987601
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 191.99524840418664
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.993709611152474
name: Corpus Sparsity Ratio
verified: no
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Created: 2025-05-27 11:48:24