Model: tomaarsen/splade-distilbert-base-uncased-nq
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, distilbert, sparse-encoder, sparse, 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, base_model:distilbert/distilbert-base-uncased, base_model:finetune:distilbert/distilbert-base-uncased, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, splade, generated_from_trainer, dataset_size:99000, loss:SpladeLoss, loss:SparseMultipleNegativesRankingLoss, loss:FlopsLoss
base_model: distilbert/distilbert-base-uncased
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., Maze Runner: The Death Cure On April 22, 2017, the studio delayed the release date once again, to February 9, 2018, in order to allow more time for post-production; months later, on August 25, the studio moved the release forward two weeks.[17] The film will premiere on January 26, 2018 in 3D, IMAX and IMAX 3D.[18][19], 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: 36.35355068873359
energy_consumed: 0.0935255045992395
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: 0.252
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: DistilBERT base 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: 0.4
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.74
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.28
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.13333333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.124
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.07400000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.28
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.62
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.74
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.48417691239896954
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.40474603174603174
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4165931820854422
name: Dot Map@100
verified: no, type: query_active_dims
value: 68.80000305175781
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9977458881117962
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 135.5758514404297
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9955580941143952
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: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.52
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.56
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.36
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.308
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.234
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.024688245739830684
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.05757259881654739
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.07457503506379409
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.09455914797791706
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.2854029431260111
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.46341269841269833
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.11792914877304508
name: Dot Map@100
verified: no, type: query_active_dims
value: 79.31999969482422
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9974012188030004
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 184.8435516357422
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9939439240011879
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: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.64
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.72
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.76
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
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: 0.07600000000000001
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.38
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.61
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.68
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.7
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.562112822249959
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.535079365079365
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5164611300715877
name: Dot Map@100
verified: no, type: query_active_dims
value: 54.099998474121094
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9982275080769897
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 133.11419677734375
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9956387459282701
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: 0.3666666666666667
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5133333333333333
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.6866666666666666
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.3666666666666667
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.23555555555555552
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.19200000000000003
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.12800000000000003
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.22822941524661022
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.35585753293884914
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.45819167835459806
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.511519715992639
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.4438975592583132
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.46774603174603174
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.350327820310025
name: Dot Map@100
verified: no, type: query_active_dims
value: 67.4066670735677
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9977915383305954
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 145.78942579758726
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9952234641963965
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 76
Created: 2025-06-12 12:55:20