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e5-R-mistral-7b/README.md
ModelHub XC deba2401e4 初始化项目,由ModelHub XC社区提供模型
Model: BeastyZ/e5-R-mistral-7b
Source: Original Platform
2026-05-14 14:05:02 +08:00

24 KiB

library_name, license, datasets, language, model-index, tags
library_name license datasets language model-index tags
transformers apache-2.0
BeastyZ/E5-R
en
name results
e5-R-mistral-7b
dataset metrics task
config name revision split type
default MTEB ArguAna None test mteb/arguana
type value
map_at_1 33.57
type value
map_at_10 49.952000000000005
type value
map_at_100 50.673
type value
map_at_1000 50.674
type value
map_at_3 44.915
type value
map_at_5 47.876999999999995
type value
mrr_at_1 34.211000000000006
type value
mrr_at_10 50.19
type value
mrr_at_100 50.905
type value
mrr_at_1000 50.906
type value
mrr_at_3 45.128
type value
mrr_at_5 48.097
type value
ndcg_at_1 33.57
type value
ndcg_at_10 58.994
type value
ndcg_at_100 61.806000000000004
type value
ndcg_at_1000 61.824999999999996
type value
ndcg_at_3 48.681000000000004
type value
ndcg_at_5 54.001
type value
precision_at_1 33.57
type value
precision_at_10 8.784
type value
precision_at_100 0.9950000000000001
type value
precision_at_1000 0.1
type value
precision_at_3 19.867
type value
precision_at_5 14.495
type value
recall_at_1 33.57
type value
recall_at_10 87.83800000000001
type value
recall_at_100 99.502
type value
recall_at_1000 99.644
type value
recall_at_3 59.602
type value
recall_at_5 72.475
type value
main_score 58.994
type
Retrieval
dataset metrics task
config name revision split type
default MTEB CQADupstackRetrieval None test mteb/cqadupstack
type value
map_at_1 24.75
type value
map_at_10 34.025
type value
map_at_100 35.126000000000005
type value
map_at_1000 35.219
type value
map_at_3 31.607000000000003
type value
map_at_5 32.962
type value
mrr_at_1 27.357
type value
mrr_at_10 36.370999999999995
type value
mrr_at_100 37.364000000000004
type value
mrr_at_1000 37.423
type value
mrr_at_3 34.288000000000004
type value
mrr_at_5 35.434
type value
ndcg_at_1 27.357
type value
ndcg_at_10 46.593999999999997
type value
ndcg_at_100 44.317
type value
ndcg_at_1000 46.475
type value
ndcg_at_3 34.473
type value
ndcg_at_5 36.561
type value
precision_at_1 27.357
type value
precision_at_10 6.081
type value
precision_at_100 0.9299999999999999
type value
precision_at_1000 0.124
type value
precision_at_3 14.911
type value
precision_at_5 10.24
type value
recall_at_1 24.75
type value
recall_at_10 51.856
type value
recall_at_100 76.44300000000001
type value
recall_at_1000 92.078
type value
recall_at_3 39.427
type value
recall_at_5 44.639
type value
main_score 46.593999999999997
type
Retrieval
dataset metrics task
config name revision split type
default MTEB ClimateFEVER None test mteb/climate-fever
type value
map_at_1 16.436
type value
map_at_10 29.693
type value
map_at_100 32.179
type value
map_at_1000 32.353
type value
map_at_3 24.556
type value
map_at_5 27.105
type value
mrr_at_1 37.524
type value
mrr_at_10 51.475
type value
mrr_at_100 52.107000000000006
type value
mrr_at_1000 52.123
type value
mrr_at_3 48.35
type value
mrr_at_5 50.249
type value
ndcg_at_1 37.524
type value
ndcg_at_10 40.258
type value
ndcg_at_100 48.364000000000004
type value
ndcg_at_1000 51.031000000000006
type value
ndcg_at_3 33.359
type value
ndcg_at_5 35.573
type value
precision_at_1 37.524
type value
precision_at_10 12.886000000000001
type value
precision_at_100 2.169
type value
precision_at_1000 0.268
type value
precision_at_3 25.624000000000002
type value
precision_at_5 19.453
type value
recall_at_1 16.436
type value
recall_at_10 47.77
type value
recall_at_100 74.762
type value
recall_at_1000 89.316
type value
recall_at_3 30.508000000000003
type value
recall_at_5 37.346000000000004
type value
main_score 40.258
type
Retrieval
dataset metrics task
config name revision split type
default MTEB DBPedia None test mteb/dbpedia
type value
map_at_1 10.147
type value
map_at_10 24.631
type value
map_at_100 35.657
type value
map_at_1000 37.824999999999996
type value
map_at_3 16.423
type value
map_at_5 19.666
type value
mrr_at_1 76.5
type value
mrr_at_10 82.793
type value
mrr_at_100 83.015
type value
mrr_at_1000 83.021
type value
mrr_at_3 81.75
type value
mrr_at_5 82.375
type value
ndcg_at_1 64.75
type value
ndcg_at_10 51.031000000000006
type value
ndcg_at_100 56.005
type value
ndcg_at_1000 63.068000000000005
type value
ndcg_at_3 54.571999999999996
type value
ndcg_at_5 52.66499999999999
type value
precision_at_1 76.5
type value
precision_at_10 42.15
type value
precision_at_100 13.22
type value
precision_at_1000 2.5989999999999998
type value
precision_at_3 58.416999999999994
type value
precision_at_5 52.2
type value
recall_at_1 10.147
type value
recall_at_10 30.786
type value
recall_at_100 62.873000000000005
type value
recall_at_1000 85.358
type value
recall_at_3 17.665
type value
recall_at_5 22.088
type value
main_score 51.031000000000006
type
Retrieval
dataset metrics task
config name revision split type
default MTEB FEVER None test mteb/fever
type value
map_at_1 78.52900000000001
type value
map_at_10 87.24199999999999
type value
map_at_100 87.446
type value
map_at_1000 87.457
type value
map_at_3 86.193
type value
map_at_5 86.898
type value
mrr_at_1 84.518
type value
mrr_at_10 90.686
type value
mrr_at_100 90.73
type value
mrr_at_1000 90.731
type value
mrr_at_3 90.227
type value
mrr_at_5 90.575
type value
ndcg_at_1 84.518
type value
ndcg_at_10 90.324
type value
ndcg_at_100 90.96300000000001
type value
ndcg_at_1000 91.134
type value
ndcg_at_3 88.937
type value
ndcg_at_5 89.788
type value
precision_at_1 84.518
type value
precision_at_10 10.872
type value
precision_at_100 1.1440000000000001
type value
precision_at_1000 0.117
type value
precision_at_3 34.108
type value
precision_at_5 21.154999999999998
type value
recall_at_1 78.52900000000001
type value
recall_at_10 96.123
type value
recall_at_100 98.503
type value
recall_at_1000 99.518
type value
recall_at_3 92.444
type value
recall_at_5 94.609
type value
main_score 90.324
type
Retrieval
dataset metrics task
config name revision split type
default MTEB FiQA2018 None test mteb/fiqa
type value
map_at_1 29.38
type value
map_at_10 50.28
type value
map_at_100 52.532999999999994
type value
map_at_1000 52.641000000000005
type value
map_at_3 43.556
type value
map_at_5 47.617
type value
mrr_at_1 56.79
type value
mrr_at_10 65.666
type value
mrr_at_100 66.211
type value
mrr_at_1000 66.226
type value
mrr_at_3 63.452
type value
mrr_at_5 64.895
type value
ndcg_at_1 56.79
type value
ndcg_at_10 58.68
type value
ndcg_at_100 65.22
type value
ndcg_at_1000 66.645
type value
ndcg_at_3 53.981
type value
ndcg_at_5 55.95
type value
precision_at_1 56.79
type value
precision_at_10 16.311999999999998
type value
precision_at_100 2.316
type value
precision_at_1000 0.258
type value
precision_at_3 36.214
type value
precision_at_5 27.067999999999998
type value
recall_at_1 29.38
type value
recall_at_10 66.503
type value
recall_at_100 89.885
type value
recall_at_1000 97.954
type value
recall_at_3 48.866
type value
recall_at_5 57.60999999999999
type value
main_score 58.68
type
Retrieval
dataset metrics task
config name revision split type
default MTEB HotpotQA None test mteb/hotpotqa
type value
map_at_1 42.134
type value
map_at_10 73.412
type value
map_at_100 74.144
type value
map_at_1000 74.181
type value
map_at_3 70.016
type value
map_at_5 72.174
type value
mrr_at_1 84.267
type value
mrr_at_10 89.18599999999999
type value
mrr_at_100 89.29599999999999
type value
mrr_at_1000 89.298
type value
mrr_at_3 88.616
type value
mrr_at_5 88.957
type value
ndcg_at_1 84.267
type value
ndcg_at_10 80.164
type value
ndcg_at_100 82.52199999999999
type value
ndcg_at_1000 83.176
type value
ndcg_at_3 75.616
type value
ndcg_at_5 78.184
type value
precision_at_1 84.267
type value
precision_at_10 16.916
type value
precision_at_100 1.872
type value
precision_at_1000 0.196
type value
precision_at_3 49.71
type value
precision_at_5 31.854
type value
recall_at_1 42.134
type value
recall_at_10 84.578
type value
recall_at_100 93.606
type value
recall_at_1000 97.86
type value
recall_at_3 74.564
type value
recall_at_5 79.635
type value
main_score 80.164
type
Retrieval
dataset metrics task
config name revision split type
default MTEB MSMARCO None dev mteb/msmarco
type value
map_at_1 22.276
type value
map_at_10 35.493
type value
map_at_100 36.656
type value
map_at_1000 36.699
type value
map_at_3 31.320999999999998
type value
map_at_5 33.772999999999996
type value
mrr_at_1 22.966
type value
mrr_at_10 36.074
type value
mrr_at_100 37.183
type value
mrr_at_1000 37.219
type value
mrr_at_3 31.984
type value
mrr_at_5 34.419
type value
ndcg_at_1 22.966
type value
ndcg_at_10 42.895
type value
ndcg_at_100 48.453
type value
ndcg_at_1000 49.464999999999996
type value
ndcg_at_3 34.410000000000004
type value
ndcg_at_5 38.78
type value
precision_at_1 22.966
type value
precision_at_10 6.88
type value
precision_at_100 0.966
type value
precision_at_1000 0.105
type value
precision_at_3 14.785
type value
precision_at_5 11.074
type value
recall_at_1 22.276
type value
recall_at_10 65.756
type value
recall_at_100 91.34100000000001
type value
recall_at_1000 98.957
type value
recall_at_3 42.67
type value
recall_at_5 53.161
type value
main_score 42.895
type
Retrieval
dataset metrics task
config name revision split type
default MTEB NFCorpus None test mteb/nfcorpus
type value
map_at_1 7.188999999999999
type value
map_at_10 16.176
type value
map_at_100 20.504
type value
map_at_1000 22.203999999999997
type value
map_at_3 11.766
type value
map_at_5 13.655999999999999
type value
mrr_at_1 55.418
type value
mrr_at_10 62.791
type value
mrr_at_100 63.339
type value
mrr_at_1000 63.369
type value
mrr_at_3 60.99099999999999
type value
mrr_at_5 62.059
type value
ndcg_at_1 53.715
type value
ndcg_at_10 41.377
type value
ndcg_at_100 37.999
type value
ndcg_at_1000 46.726
type value
ndcg_at_3 47.262
type value
ndcg_at_5 44.708999999999996
type value
precision_at_1 55.108000000000004
type value
precision_at_10 30.154999999999998
type value
precision_at_100 9.582
type value
precision_at_1000 2.2720000000000002
type value
precision_at_3 43.55
type value
precision_at_5 38.204
type value
recall_at_1 7.188999999999999
type value
recall_at_10 20.655
type value
recall_at_100 38.068000000000005
type value
recall_at_1000 70.208
type value
recall_at_3 12.601
type value
recall_at_5 15.573999999999998
type value
main_score 41.377
type
Retrieval
dataset metrics task
config name revision split type
default MTEB NQ None test mteb/nq
type value
map_at_1 46.017
type value
map_at_10 62.910999999999994
type value
map_at_100 63.526
type value
map_at_1000 63.536
type value
map_at_3 59.077999999999996
type value
map_at_5 61.521
type value
mrr_at_1 51.68000000000001
type value
mrr_at_10 65.149
type value
mrr_at_100 65.542
type value
mrr_at_1000 65.55
type value
mrr_at_3 62.49
type value
mrr_at_5 64.178
type value
ndcg_at_1 51.651
type value
ndcg_at_10 69.83500000000001
type value
ndcg_at_100 72.18
type value
ndcg_at_1000 72.393
type value
ndcg_at_3 63.168
type value
ndcg_at_5 66.958
type value
precision_at_1 51.651
type value
precision_at_10 10.626
type value
precision_at_100 1.195
type value
precision_at_1000 0.121
type value
precision_at_3 28.012999999999998
type value
precision_at_5 19.09
type value
recall_at_1 46.017
type value
recall_at_10 88.345
type value
recall_at_100 98.129
type value
recall_at_1000 99.696
type value
recall_at_3 71.531
type value
recall_at_5 80.108
type value
main_score 69.83500000000001
type
Retrieval
dataset metrics task
config name revision split type
default MTEB QuoraRetrieval None test mteb/quora
type value
map_at_1 72.473
type value
map_at_10 86.72800000000001
type value
map_at_100 87.323
type value
map_at_1000 87.332
type value
map_at_3 83.753
type value
map_at_5 85.627
type value
mrr_at_1 83.39
type value
mrr_at_10 89.149
type value
mrr_at_100 89.228
type value
mrr_at_1000 89.229
type value
mrr_at_3 88.335
type value
mrr_at_5 88.895
type value
ndcg_at_1 83.39
type value
ndcg_at_10 90.109
type value
ndcg_at_100 91.09
type value
ndcg_at_1000 91.13900000000001
type value
ndcg_at_3 87.483
type value
ndcg_at_5 88.942
type value
precision_at_1 83.39
type value
precision_at_10 13.711
type value
precision_at_100 1.549
type value
precision_at_1000 0.157
type value
precision_at_3 38.342999999999996
type value
precision_at_5 25.188
type value
recall_at_1 72.473
type value
recall_at_10 96.57
type value
recall_at_100 99.792
type value
recall_at_1000 99.99900000000001
type value
recall_at_3 88.979
type value
recall_at_5 93.163
type value
main_score 90.109
type
Retrieval
dataset metrics task
config name revision split type
default MTEB SCIDOCS None test mteb/scidocs
type value
map_at_1 4.598
type value
map_at_10 11.405999999999999
type value
map_at_100 13.447999999999999
type value
map_at_1000 13.758999999999999
type value
map_at_3 8.332
type value
map_at_5 9.709
type value
mrr_at_1 22.6
type value
mrr_at_10 32.978
type value
mrr_at_100 34.149
type value
mrr_at_1000 34.213
type value
mrr_at_3 29.7
type value
mrr_at_5 31.485000000000003
type value
ndcg_at_1 22.6
type value
ndcg_at_10 19.259999999999998
type value
ndcg_at_100 27.21
type value
ndcg_at_1000 32.7
type value
ndcg_at_3 18.445
type value
ndcg_at_5 15.812000000000001
type value
precision_at_1 22.6
type value
precision_at_10 9.959999999999999
type value
precision_at_100 2.139
type value
precision_at_1000 0.345
type value
precision_at_3 17.299999999999997
type value
precision_at_5 13.719999999999999
type value
recall_at_1 4.598
type value
recall_at_10 20.186999999999998
type value
recall_at_100 43.362
type value
recall_at_1000 70.11800000000001
type value
recall_at_3 10.543
type value
recall_at_5 13.923
type value
main_score 19.259999999999998
type
Retrieval
dataset metrics task
config name revision split type
default MTEB SciFact None test mteb/scifact
type value
map_at_1 65.467
type value
map_at_10 74.935
type value
map_at_100 75.395
type value
map_at_1000 75.412
type value
map_at_3 72.436
type value
map_at_5 73.978
type value
mrr_at_1 68.667
type value
mrr_at_10 76.236
type value
mrr_at_100 76.537
type value
mrr_at_1000 76.55499999999999
type value
mrr_at_3 74.722
type value
mrr_at_5 75.639
type value
ndcg_at_1 68.667
type value
ndcg_at_10 78.92099999999999
type value
ndcg_at_100 80.645
type value
ndcg_at_1000 81.045
type value
ndcg_at_3 75.19500000000001
type value
ndcg_at_5 77.114
type value
precision_at_1 68.667
type value
precision_at_10 10.133000000000001
type value
precision_at_100 1.0999999999999999
type value
precision_at_1000 0.11299999999999999
type value
precision_at_3 28.889
type value
precision_at_5 18.8
type value
recall_at_1 65.467
type value
recall_at_10 89.517
type value
recall_at_100 97
type value
recall_at_1000 100
type value
recall_at_3 79.72200000000001
type value
recall_at_5 84.511
type value
main_score 78.92099999999999
type
Retrieval
dataset metrics task
config name revision split type
default MTEB TRECCOVID None test mteb/trec-covid
type value
map_at_1 0.244
type value
map_at_10 2.183
type value
map_at_100 13.712
type value
map_at_1000 33.147
type value
map_at_3 0.7270000000000001
type value
map_at_5 1.199
type value
mrr_at_1 94
type value
mrr_at_10 97
type value
mrr_at_100 97
type value
mrr_at_1000 97
type value
mrr_at_3 97
type value
mrr_at_5 97
type value
ndcg_at_1 92
type value
ndcg_at_10 84.399
type value
ndcg_at_100 66.771
type value
ndcg_at_1000 59.092
type value
ndcg_at_3 89.173
type value
ndcg_at_5 88.52600000000001
type value
precision_at_1 94
type value
precision_at_10 86.8
type value
precision_at_100 68.24
type value
precision_at_1000 26.003999999999998
type value
precision_at_3 92.667
type value
precision_at_5 92.4
type value
recall_at_1 0.244
type value
recall_at_10 2.302
type value
recall_at_100 16.622
type value
recall_at_1000 55.175
type value
recall_at_3 0.748
type value
recall_at_5 1.247
type value
main_score 84.399
type
Retrieval
dataset metrics task
config name revision split type
default MTEB Touche2020 None test mteb/touche2020
type value
map_at_1 2.707
type value
map_at_10 10.917
type value
map_at_100 16.308
type value
map_at_1000 17.953
type value
map_at_3 5.65
type value
map_at_5 7.379
type value
mrr_at_1 34.694
type value
mrr_at_10 49.745
type value
mrr_at_100 50.309000000000005
type value
mrr_at_1000 50.32
type value
mrr_at_3 44.897999999999996
type value
mrr_at_5 48.061
type value
ndcg_at_1 33.672999999999995
type value
ndcg_at_10 26.894000000000002
type value
ndcg_at_100 37.423
type value
ndcg_at_1000 49.376999999999995
type value
ndcg_at_3 30.456
type value
ndcg_at_5 27.772000000000002
type value
precision_at_1 34.694
type value
precision_at_10 23.878
type value
precision_at_100 7.489999999999999
type value
precision_at_1000 1.555
type value
precision_at_3 31.293
type value
precision_at_5 26.939
type value
recall_at_1 2.707
type value
recall_at_10 18.104
type value
recall_at_100 46.93
type value
recall_at_1000 83.512
type value
recall_at_3 6.622999999999999
type value
recall_at_5 10.051
type value
main_score 26.894000000000002
type
Retrieval
mteb

Model Card for e5-R-mistral-7b

Model Description

e5-R-mistral-7b is a LLM retriever fine-tuned from mistralai/Mistral-7B-v0.1.

  • Model type: CausalLM
  • Repository: Welcome to our GitHub repository to obtain code
  • Training dataset: Dataset used for fine-tuning e5-R-mistral-7b is available here.