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Add new SentenceTransformer model.
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---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: cloudy-large-zh
results:
- task:
type: Reranking
dataset:
type: C-MTEB/CMedQAv1-reranking
name: MTEB CMedQAv1
config: default
split: test
revision: None
metrics:
- type: map
value: 86.10362876754219
- type: mrr
value: 88.77880952380951
- task:
type: Reranking
dataset:
type: C-MTEB/CMedQAv2-reranking
name: MTEB CMedQAv2
config: default
split: test
revision: None
metrics:
- type: map
value: 86.94664825874587
- type: mrr
value: 89.47257936507937
- task:
type: Retrieval
dataset:
type: C-MTEB/CmedqaRetrieval
name: MTEB CmedqaRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 25.296999999999997
- type: map_at_10
value: 37.159
- type: map_at_100
value: 39.016
- type: map_at_1000
value: 39.134
- type: map_at_3
value: 33.248
- type: map_at_5
value: 35.371
- type: mrr_at_1
value: 38.435
- type: mrr_at_10
value: 46.235
- type: mrr_at_100
value: 47.265
- type: mrr_at_1000
value: 47.308
- type: mrr_at_3
value: 43.828
- type: mrr_at_5
value: 45.21
- type: ndcg_at_1
value: 38.435
- type: ndcg_at_10
value: 43.578
- type: ndcg_at_100
value: 50.995000000000005
- type: ndcg_at_1000
value: 53.012
- type: ndcg_at_3
value: 38.667
- type: ndcg_at_5
value: 40.657
- type: precision_at_1
value: 38.435
- type: precision_at_10
value: 9.607000000000001
- type: precision_at_100
value: 1.557
- type: precision_at_1000
value: 0.182
- type: precision_at_3
value: 21.714
- type: precision_at_5
value: 15.634
- type: recall_at_1
value: 25.296999999999997
- type: recall_at_10
value: 53.408
- type: recall_at_100
value: 84.202
- type: recall_at_1000
value: 97.61
- type: recall_at_3
value: 38.533
- type: recall_at_5
value: 44.927
- task:
type: Retrieval
dataset:
type: C-MTEB/CovidRetrieval
name: MTEB CovidRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 74.763
- type: map_at_10
value: 82.604
- type: map_at_100
value: 82.795
- type: map_at_1000
value: 82.798
- type: map_at_3
value: 81.437
- type: map_at_5
value: 82.097
- type: mrr_at_1
value: 74.816
- type: mrr_at_10
value: 82.601
- type: mrr_at_100
value: 82.787
- type: mrr_at_1000
value: 82.78999999999999
- type: mrr_at_3
value: 81.472
- type: mrr_at_5
value: 82.146
- type: ndcg_at_1
value: 74.921
- type: ndcg_at_10
value: 85.83
- type: ndcg_at_100
value: 86.655
- type: ndcg_at_1000
value: 86.748
- type: ndcg_at_3
value: 83.497
- type: ndcg_at_5
value: 84.696
- type: precision_at_1
value: 74.921
- type: precision_at_10
value: 9.663
- type: precision_at_100
value: 1.0030000000000001
- type: precision_at_1000
value: 0.101
- type: precision_at_3
value: 29.996000000000002
- type: precision_at_5
value: 18.609
- type: recall_at_1
value: 74.763
- type: recall_at_10
value: 95.627
- type: recall_at_100
value: 99.262
- type: recall_at_1000
value: 100.0
- type: recall_at_3
value: 89.357
- type: recall_at_5
value: 92.255
- task:
type: Retrieval
dataset:
type: C-MTEB/DuRetrieval
name: MTEB DuRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 26.021
- type: map_at_10
value: 78.561
- type: map_at_100
value: 81.291
- type: map_at_1000
value: 81.34400000000001
- type: map_at_3
value: 54.55799999999999
- type: map_at_5
value: 68.804
- type: mrr_at_1
value: 89.8
- type: mrr_at_10
value: 92.905
- type: mrr_at_100
value: 92.976
- type: mrr_at_1000
value: 92.979
- type: mrr_at_3
value: 92.608
- type: mrr_at_5
value: 92.783
- type: ndcg_at_1
value: 89.8
- type: ndcg_at_10
value: 86.203
- type: ndcg_at_100
value: 88.955
- type: ndcg_at_1000
value: 89.442
- type: ndcg_at_3
value: 85.163
- type: ndcg_at_5
value: 84.057
- type: precision_at_1
value: 89.8
- type: precision_at_10
value: 41.175
- type: precision_at_100
value: 4.744000000000001
- type: precision_at_1000
value: 0.486
- type: precision_at_3
value: 76.283
- type: precision_at_5
value: 64.41
- type: recall_at_1
value: 26.021
- type: recall_at_10
value: 87.25
- type: recall_at_100
value: 96.154
- type: recall_at_1000
value: 98.615
- type: recall_at_3
value: 56.830999999999996
- type: recall_at_5
value: 73.518
- task:
type: Retrieval
dataset:
type: C-MTEB/EcomRetrieval
name: MTEB EcomRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 52.300000000000004
- type: map_at_10
value: 62.149
- type: map_at_100
value: 62.719
- type: map_at_1000
value: 62.73
- type: map_at_3
value: 59.767
- type: map_at_5
value: 61.232
- type: mrr_at_1
value: 52.300000000000004
- type: mrr_at_10
value: 62.149
- type: mrr_at_100
value: 62.719
- type: mrr_at_1000
value: 62.73
- type: mrr_at_3
value: 59.767
- type: mrr_at_5
value: 61.232
- type: ndcg_at_1
value: 52.300000000000004
- type: ndcg_at_10
value: 66.99300000000001
- type: ndcg_at_100
value: 69.672
- type: ndcg_at_1000
value: 69.95400000000001
- type: ndcg_at_3
value: 62.166
- type: ndcg_at_5
value: 64.804
- type: precision_at_1
value: 52.300000000000004
- type: precision_at_10
value: 8.219999999999999
- type: precision_at_100
value: 0.9450000000000001
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 23.033
- type: precision_at_5
value: 15.1
- type: recall_at_1
value: 52.300000000000004
- type: recall_at_10
value: 82.19999999999999
- type: recall_at_100
value: 94.5
- type: recall_at_1000
value: 96.7
- type: recall_at_3
value: 69.1
- type: recall_at_5
value: 75.5
- task:
type: Reranking
dataset:
type: C-MTEB/Mmarco-reranking
name: MTEB MMarcoReranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 24.260352944026806
- type: mrr
value: 22.69484126984127
- task:
type: Retrieval
dataset:
type: C-MTEB/MMarcoRetrieval
name: MTEB MMarcoRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 64.888
- type: map_at_10
value: 73.921
- type: map_at_100
value: 74.28099999999999
- type: map_at_1000
value: 74.295
- type: map_at_3
value: 72.04
- type: map_at_5
value: 73.207
- type: mrr_at_1
value: 67.092
- type: mrr_at_10
value: 74.547
- type: mrr_at_100
value: 74.862
- type: mrr_at_1000
value: 74.875
- type: mrr_at_3
value: 72.908
- type: mrr_at_5
value: 73.936
- type: ndcg_at_1
value: 67.092
- type: ndcg_at_10
value: 77.687
- type: ndcg_at_100
value: 79.24600000000001
- type: ndcg_at_1000
value: 79.60000000000001
- type: ndcg_at_3
value: 74.124
- type: ndcg_at_5
value: 76.098
- type: precision_at_1
value: 67.092
- type: precision_at_10
value: 9.424000000000001
- type: precision_at_100
value: 1.019
- type: precision_at_1000
value: 0.105
- type: precision_at_3
value: 27.927000000000003
- type: precision_at_5
value: 17.797
- type: recall_at_1
value: 64.888
- type: recall_at_10
value: 88.672
- type: recall_at_100
value: 95.599
- type: recall_at_1000
value: 98.337
- type: recall_at_3
value: 79.27499999999999
- type: recall_at_5
value: 83.96000000000001
- task:
type: Retrieval
dataset:
type: C-MTEB/MedicalRetrieval
name: MTEB MedicalRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 55.50000000000001
- type: map_at_10
value: 61.316
- type: map_at_100
value: 61.832
- type: map_at_1000
value: 61.867000000000004
- type: map_at_3
value: 59.9
- type: map_at_5
value: 60.685
- type: mrr_at_1
value: 55.7
- type: mrr_at_10
value: 61.416000000000004
- type: mrr_at_100
value: 61.931999999999995
- type: mrr_at_1000
value: 61.967000000000006
- type: mrr_at_3
value: 60.0
- type: mrr_at_5
value: 60.785
- type: ndcg_at_1
value: 55.50000000000001
- type: ndcg_at_10
value: 64.228
- type: ndcg_at_100
value: 67.04599999999999
- type: ndcg_at_1000
value: 68.176
- type: ndcg_at_3
value: 61.314
- type: ndcg_at_5
value: 62.743
- type: precision_at_1
value: 55.50000000000001
- type: precision_at_10
value: 7.340000000000001
- type: precision_at_100
value: 0.873
- type: precision_at_1000
value: 0.097
- type: precision_at_3
value: 21.8
- type: precision_at_5
value: 13.780000000000001
- type: recall_at_1
value: 55.50000000000001
- type: recall_at_10
value: 73.4
- type: recall_at_100
value: 87.3
- type: recall_at_1000
value: 96.6
- type: recall_at_3
value: 65.4
- type: recall_at_5
value: 68.89999999999999
- task:
type: Reranking
dataset:
type: C-MTEB/T2Reranking
name: MTEB T2Reranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 66.83154421352779
- type: mrr
value: 76.27995669041708
- task:
type: Retrieval
dataset:
type: C-MTEB/T2Retrieval
name: MTEB T2Retrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 28.303
- type: map_at_10
value: 76.943
- type: map_at_100
value: 80.585
- type: map_at_1000
value: 80.657
- type: map_at_3
value: 54.818999999999996
- type: map_at_5
value: 66.854
- type: mrr_at_1
value: 90.742
- type: mrr_at_10
value: 93.496
- type: mrr_at_100
value: 93.55799999999999
- type: mrr_at_1000
value: 93.56
- type: mrr_at_3
value: 93.083
- type: mrr_at_5
value: 93.349
- type: ndcg_at_1
value: 90.742
- type: ndcg_at_10
value: 84.94
- type: ndcg_at_100
value: 88.616
- type: ndcg_at_1000
value: 89.25
- type: ndcg_at_3
value: 86.58200000000001
- type: ndcg_at_5
value: 85.018
- type: precision_at_1
value: 90.742
- type: precision_at_10
value: 41.507
- type: precision_at_100
value: 4.984999999999999
- type: precision_at_1000
value: 0.515
- type: precision_at_3
value: 75.101
- type: precision_at_5
value: 62.543000000000006
- type: recall_at_1
value: 28.303
- type: recall_at_10
value: 83.895
- type: recall_at_100
value: 95.537
- type: recall_at_1000
value: 98.558
- type: recall_at_3
value: 56.679
- type: recall_at_5
value: 70.535
- task:
type: Retrieval
dataset:
type: C-MTEB/VideoRetrieval
name: MTEB VideoRetrieval
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 59.5
- type: map_at_10
value: 69.53
- type: map_at_100
value: 69.976
- type: map_at_1000
value: 69.99300000000001
- type: map_at_3
value: 67.85
- type: map_at_5
value: 68.83
- type: mrr_at_1
value: 59.5
- type: mrr_at_10
value: 69.53
- type: mrr_at_100
value: 69.976
- type: mrr_at_1000
value: 69.99300000000001
- type: mrr_at_3
value: 67.85
- type: mrr_at_5
value: 68.83
- type: ndcg_at_1
value: 59.5
- type: ndcg_at_10
value: 73.855
- type: ndcg_at_100
value: 75.831
- type: ndcg_at_1000
value: 76.227
- type: ndcg_at_3
value: 70.418
- type: ndcg_at_5
value: 72.18599999999999
- type: precision_at_1
value: 59.5
- type: precision_at_10
value: 8.72
- type: precision_at_100
value: 0.96
- type: precision_at_1000
value: 0.099
- type: precision_at_3
value: 25.933
- type: precision_at_5
value: 16.42
- type: recall_at_1
value: 59.5
- type: recall_at_10
value: 87.2
- type: recall_at_100
value: 96.0
- type: recall_at_1000
value: 99.0
- type: recall_at_3
value: 77.8
- type: recall_at_5
value: 82.1
---
| Model Name | Dimension | Sequence Length | Language | Need instruction for retrieval? |
| --------------- | --------- | --------------- | -------- | ------------------------------- |
| cloudy-largh-zh | 1024 | 1024 | Chinese | NO |