Model: tomaarsen/csr-mxbai-embed-large-v1-nq-nanobeir
Author: tomaarsen
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sparse-encoder, sparse, csr, generated_from_trainer, dataset_size:99000, loss:CSRLoss, loss:SparseMultipleNegativesRankingLoss, feature-extraction, en, dataset:sentence-transformers/natural-questions, arxiv:1908.10084, arxiv:2503.01776, arxiv:1705.00652, base_model:mixedbread-ai/mxbai-embed-large-v1, base_model:finetune:mixedbread-ai/mxbai-embed-large-v1, license:apache-2.0, model-index, co2_eq_emissions, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: mixedbread-ai/mxbai-embed-large-v1
Card metadata: language: en
license: apache-2.0
tags: sentence-transformers, sparse-encoder, sparse, csr, generated_from_trainer, dataset_size:99000, loss:CSRLoss, loss:SparseMultipleNegativesRankingLoss
base_model: mixedbread-ai/mxbai-embed-large-v1
widget: Saudi Arabia–United Arab Emirates relations However, the UAE and Saudi Arabia continue to take somewhat differing stances on regional conflicts such the Yemeni Civil War, where the UAE opposes Al-Islah, and supports the Southern Movement, which has fought against Saudi-backed forces, and the Syrian Civil War, where the UAE has disagreed with Saudi support for Islamist movements.[4], Economy of New Zealand New Zealand's diverse market economy has a sizable service sector, accounting for 63% of all GDP activity in 2013.[17] Large scale manufacturing industries include aluminium production, food processing, metal fabrication, wood and paper products. Mining, manufacturing, electricity, gas, water, and waste services accounted for 16.5% of GDP in 2013.[17] The primary sector continues to dominate New Zealand's exports, despite accounting for 6.5% of GDP in 2013.[17], who was the first president of indian science congress meeting held in kolkata in 1914, Get Over It (Eagles song) "Get Over It" is a song by the Eagles released as a single after a fourteen-year breakup. It was also the first song written by bandmates Don Henley and Glenn Frey when the band reunited. "Get Over It" was played live for the first time during their Hell Freezes Over tour in 1994. It returned the band to the U.S. Top 40 after a fourteen-year absence, peaking at No. 31 on the Billboard Hot 100 chart. It also hit No. 4 on the Billboard Mainstream Rock Tracks chart. The song was not played live by the Eagles after the "Hell Freezes Over" tour in 1994. It remains the group's last Top 40 hit in the U.S., Cornelius the Centurion Cornelius (Greek: Κορνήλιος) was a Roman centurion who is considered by Christians to be one of the first Gentiles to convert to the faith, as related in Acts of the Apostles.
datasets: sentence-transformers/natural-questions
pipeline_tag: feature-extraction
library_name: sentence-transformers
metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10, cosine_recall@1, cosine_recall@3, cosine_recall@5, cosine_recall@10, cosine_ndcg@10, cosine_mrr@10, cosine_map@100, query_active_dims, query_sparsity_ratio, corpus_active_dims, corpus_sparsity_ratio
co2_eq_emissions: emissions: 105.88726450328866
energy_consumed: 0.27241245093487726
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: 0.75
hardware_used: 1 x NVIDIA GeForce RTX 3090
model-index: name: Sparse CSR model trained on Natural Questions
results: task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 4
type: NanoMSMARCO_4
metrics: type: cosine_accuracy@1
value: 0.12
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.16
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.26
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.34
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.12
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.05333333333333333
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.052000000000000005
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.034
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.12
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.16
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.26
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.34
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.20848075322384305
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.16888095238095235
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.18291408151127517
name: Cosine Map@100
verified: no, type: query_active_dims
value: 4
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990234375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 4
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9990234375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 4
type: NanoNFCorpus_4
metrics: type: cosine_accuracy@1
value: 0.06
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.14
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.24
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.3
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.06
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.06000000000000001
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.068
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.064
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.0009459743220542356
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.003449821160051155
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.007601209053812086
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.014969691928058278
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.06420092741811712
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.12744444444444444
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.014642071302654571
name: Cosine Map@100
verified: no, type: query_active_dims
value: 4
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990234375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 4
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9990234375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 4
type: NanoNQ_4
metrics: type: cosine_accuracy@1
value: 0.04
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.08
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.16
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.26
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.04
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.026666666666666665
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.032
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.026000000000000002
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.04
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.08
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.16
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.25
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.12446577906212845
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.08757936507936508
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.09936029341073244
name: Cosine Map@100
verified: no, type: query_active_dims
value: 4
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990234375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 4
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9990234375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean 4
type: NanoBEIR_mean_4
metrics: type: cosine_accuracy@1
value: 0.07333333333333333
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.12666666666666668
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.22
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.3
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.07333333333333333
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.04666666666666667
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.05066666666666667
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.04133333333333333
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.053648658107351414
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.08114994038668372
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.14253373635127067
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.20165656397601942
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.13238248656802956
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.12796825396825398
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.09897214874155406
name: Cosine Map@100
verified: no, type: query_active_dims
value: 4
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9990234375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 4
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9990234375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 8
type: NanoMSMARCO_8
metrics: type: cosine_accuracy@1
value: 0.14
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.24
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.32
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.42
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.14
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.08
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.064
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.042
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.14
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.24
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.32
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.42
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2597698452054917
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.21088888888888888
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.22093158927995368
name: Cosine Map@100
verified: no, type: query_active_dims
value: 8
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.998046875
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 8
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.998046875
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 8
type: NanoNFCorpus_8
metrics: type: cosine_accuracy@1
value: 0.08
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.24
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.32
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.4
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.08
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.10666666666666666
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.1
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.08199999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.003534803921568628
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.01332319047951684
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.018603958472557434
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.027472535276451802
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.08639423970883567
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.16755555555555557
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.02734093319516609
name: Cosine Map@100
verified: no, type: query_active_dims
value: 8
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.998046875
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 8
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.998046875
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 8
type: NanoNQ_8
metrics: type: cosine_accuracy@1
value: 0.08
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.24
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.3
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.44
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.08
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.07999999999999999
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.06000000000000001
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.046000000000000006
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.08
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.22
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.28
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.42
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.2376977753947817
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.1862142857142857
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.18701815429415725
name: Cosine Map@100
verified: no, type: query_active_dims
value: 8
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.998046875
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 8
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.998046875
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean 8
type: NanoBEIR_mean_8
metrics: type: cosine_accuracy@1
value: 0.10000000000000002
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.24
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.3133333333333333
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.42
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.10000000000000002
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.08888888888888886
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.07466666666666667
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.05666666666666667
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.07451160130718955
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.15777439682650563
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.2062013194908525
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.28915751175881726
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.19462062010303635
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.1882195767195767
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.14509689225642566
name: Cosine Map@100
verified: no, type: query_active_dims
value: 8
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.998046875
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 8
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.998046875
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 16
type: NanoMSMARCO_16
metrics: type: cosine_accuracy@1
value: 0.22
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.48
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.58
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.7
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.22
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.15999999999999998
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.11599999999999999
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.07
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.22
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.48
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.58
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.7
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.45695469767923136
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.37962698412698415
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.3855020346571363
name: Cosine Map@100
verified: no, type: query_active_dims
value: 16
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.99609375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 16
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.99609375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 16
type: NanoNFCorpus_16
metrics: type: cosine_accuracy@1
value: 0.18
name: Cosine Accuracy@1
verified: no, type: cosine_accuracy@3
value: 0.34
name: Cosine Accuracy@3
verified: no, type: cosine_accuracy@5
value: 0.44
name: Cosine Accuracy@5
verified: no, type: cosine_accuracy@10
value: 0.54
name: Cosine Accuracy@10
verified: no, type: cosine_precision@1
value: 0.18
name: Cosine Precision@1
verified: no, type: cosine_precision@3
value: 0.15333333333333332
name: Cosine Precision@3
verified: no, type: cosine_precision@5
value: 0.14400000000000002
name: Cosine Precision@5
verified: no, type: cosine_precision@10
value: 0.12399999999999999
name: Cosine Precision@10
verified: no, type: cosine_recall@1
value: 0.006630871390546997
name: Cosine Recall@1
verified: no, type: cosine_recall@3
value: 0.015107785892825198
name: Cosine Recall@3
verified: no, type: cosine_recall@5
value: 0.023769342657046163
name: Cosine Recall@5
verified: no, type: cosine_recall@10
value: 0.03915909301380926
name: Cosine Recall@10
verified: no, type: cosine_ndcg@10
value: 0.134487928424105
name: Cosine Ndcg@10
verified: no, type: cosine_mrr@10
value: 0.28135714285714286
name: Cosine Mrr@10
verified: no, type: cosine_map@100
value: 0.04034378873464851
name: Cosine Map@100
verified: no, type: query_active_dims
value: 16
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.99609375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 16
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.99609375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 16
type: NanoNQ_16
metrics: type: cosine_accuracy@1
value: 0.22
name: Cosine Accuracy@1
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verified: no
Likes: 0 | All-time downloads: 29
Created: 2025-06-23 11:26:07