Model: tomaarsen/csr-mxbai-embed-large-v1-nq-no-reconstruction
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: 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: 53.740159900184786
energy_consumed: 0.13825542420719417
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: 0.409
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 128
type: NanoMSMARCO_128
metrics: type: dot_accuracy@1
value: 0.38
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.62
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.72
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.38
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.20666666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.14400000000000002
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.38
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.62
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.72
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.603846580732656
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.529079365079365
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.535577429489216
name: Dot Map@100
verified: no, type: query_active_dims
value: 128
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.96875
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 128
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.96875
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 128
type: NanoNFCorpus_128
metrics: type: dot_accuracy@1
value: 0.4
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.52
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.62
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.68
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.34
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.336
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.28600000000000003
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.02662938222230507
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.08583886950771044
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.10539572959638349
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1390606096616216
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.33155673498755867
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4815555555555555
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.14591039936040862
name: Dot Map@100
verified: no, type: query_active_dims
value: 128
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.96875
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 128
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.96875
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 128
type: NanoNQ_128
metrics: type: dot_accuracy@1
value: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.64
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.8
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.21333333333333335
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.43
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.6
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.73
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.76
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6020077639360719
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5624999999999999
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5519887965031844
name: Dot Map@100
verified: no, type: query_active_dims
value: 128
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.96875
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 128
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.96875
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean 128
type: NanoBEIR_mean_128
metrics: type: dot_accuracy@1
value: 0.4066666666666667
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.5933333333333334
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7066666666666667
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7733333333333334
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.4066666666666667
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.25333333333333335
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.21333333333333335
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15133333333333332
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.27887646074076833
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.4352796231692368
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5184652431987945
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.5796868698872072
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5124703598854289
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5243783068783068
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.411158875117603
name: Dot Map@100
verified: no, type: query_active_dims
value: 128
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.96875
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 128
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.96875
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoMSMARCO 256
type: NanoMSMARCO_256
metrics: type: dot_accuracy@1
value: 0.44
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.66
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.84
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.44
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.22
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.156
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.08399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.44
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.66
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.78
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.84
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6402220356297674
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.576079365079365
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.5819739218018417
name: Dot Map@100
verified: no, type: query_active_dims
value: 256
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 256
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNFCorpus 256
type: NanoNFCorpus_256
metrics: type: dot_accuracy@1
value: 0.42
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.54
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.58
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.42
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.35999999999999993
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.344
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.29200000000000004
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.018848269093365854
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.07354907247001424
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.09781289475269293
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.1418672876485781
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.33652365839683074
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.4957698412698413
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.14165509490208594
name: Dot Map@100
verified: no, type: query_active_dims
value: 256
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 256
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoNQ 256
type: NanoNQ_256
metrics: type: dot_accuracy@1
value: 0.56
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.7
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.78
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.86
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.56
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.23333333333333336
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.16
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.09399999999999999
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.54
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.65
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.73
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.83
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.6813657040884066
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.647301587301587
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.6310147772294485
name: Dot Map@100
verified: no, type: query_active_dims
value: 256
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 256
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-nano-beir
name: Sparse Nano BEIR
dataset: name: NanoBEIR mean 256
type: NanoBEIR_mean_256
metrics: type: dot_accuracy@1
value: 0.47333333333333333
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.6333333333333334
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.7133333333333333
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.7999999999999999
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.47333333333333333
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.27111111111111114
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.22
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.15666666666666665
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.33294942303112196
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.46118302415667145
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.5359376315842309
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.6039557625495261
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5527037993716682
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.5730502645502644
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.4515479313111254
name: Dot Map@100
verified: no, type: query_active_dims
value: 256
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 256
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoClimateFEVER
type: NanoClimateFEVER
metrics: type: dot_accuracy@1
value: 0.2
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.52
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.56
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.68
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.2
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.19333333333333333
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.132
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.088
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.07833333333333332
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.24499999999999997
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.28333333333333327
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.3473333333333333
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.27333419680435084
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.3666031746031747
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.21266834216817831
name: Dot Map@100
verified: no, type: query_active_dims
value: 256
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 256
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoDBPedia
type: NanoDBPedia
metrics: type: dot_accuracy@1
value: 0.74
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: 0.74
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.5866666666666667
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.556
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.484
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.08366724054361292
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.16227352802558825
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.2213882427797012
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.3353731792736538
name: Dot Recall@10
verified: no, type: dot_ndcg@10
value: 0.5972307350486245
name: Dot Ndcg@10
verified: no, type: dot_mrr@10
value: 0.8152222222222223
name: Dot Mrr@10
verified: no, type: dot_map@100
value: 0.45303559906331897
name: Dot Map@100
verified: no, type: query_active_dims
value: 256
name: Query Active Dims
verified: no, type: query_sparsity_ratio
value: 0.9375
name: Query Sparsity Ratio
verified: no, type: corpus_active_dims
value: 256
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9375
name: Corpus Sparsity Ratio
verified: no, task: type: sparse-information-retrieval
name: Sparse Information Retrieval
dataset: name: NanoFEVER
type: NanoFEVER
metrics: type: dot_accuracy@1
value: 0.86
name: Dot Accuracy@1
verified: no, type: dot_accuracy@3
value: 0.98
name: Dot Accuracy@3
verified: no, type: dot_accuracy@5
value: 0.98
name: Dot Accuracy@5
verified: no, type: dot_accuracy@10
value: 0.98
name: Dot Accuracy@10
verified: no, type: dot_precision@1
value: 0.86
name: Dot Precision@1
verified: no, type: dot_precision@3
value: 0.34666666666666657
name: Dot Precision@3
verified: no, type: dot_precision@5
value: 0.20799999999999996
name: Dot Precision@5
verified: no, type: dot_precision@10
value: 0.10399999999999998
name: Dot Precision@10
verified: no, type: dot_recall@1
value: 0.8066666666666668
name: Dot Recall@1
verified: no, type: dot_recall@3
value: 0.9433333333333332
name: Dot Recall@3
verified: no, type: dot_recall@5
value: 0.9433333333333332
name: Dot Recall@5
verified: no, type: dot_recall@10
value: 0.9433333333333332
name: Dot Recall@10
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verified: no, type: dot_precision@10
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verified: no, type: dot_precision@10
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verified: no, task: type: sparse-information-retrieval
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verified: no, type: dot_precision@5
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verified: no, type: dot_precision@10
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verified: no, type: dot_recall@1
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dataset: name: NanoBEIR mean
type: NanoBEIR_mean
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value: 256
name: Corpus Active Dims
verified: no, type: corpus_sparsity_ratio
value: 0.9375
name: Corpus Sparsity Ratio
verified: no
Likes: 0 | All-time downloads: 31
Created: 2025-06-19 11:49:43