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KaLM-embedding-multilingual-mini-instruct-v1

Sentence Similarity
sentence-transformers
Safetensors
qwen2
feature-extraction
mteb
Eval Results
text-embeddings-inference
Inference Endpoints
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README.md CHANGED
@@ -12069,6 +12069,63 @@ model-index:
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  name: MTEB AlloprofRetrieval
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  name: MTEB BSARDRetrieval
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  - dataset:
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  config: fr
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  name: MTEB MintakaRetrieval (fr)
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  type: Retrieval
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  name: MTEB SICKFr
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  name: MTEB SyntecRetrieval
 
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  type: Classification
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13413
+ name: MTEB STS22 (de-fr)
13414
+ revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
13415
+ split: test
13416
+ type: mteb/sts22-crosslingual-sts
13417
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13418
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13419
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13420
+ - type: cosine_spearman
13421
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13422
+ - type: euclidean_pearson
13423
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13424
+ - type: euclidean_spearman
13425
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13426
+ - type: main_score
13427
+ value: 64.21007088135842
13428
+ - type: manhattan_pearson
13429
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13430
+ - type: manhattan_spearman
13431
+ value: 64.32288638294209
13432
+ - type: pearson
13433
+ value: 61.40659325490285
13434
+ - type: spearman
13435
+ value: 64.21007088135842
13436
+ task:
13437
+ type: STS
13438
+ - dataset:
13439
+ config: fr-pl
13440
+ name: MTEB STS22 (fr-pl)
13441
+ revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
13442
+ split: test
13443
+ type: mteb/sts22-crosslingual-sts
13444
+ metrics:
13445
+ - type: cosine_pearson
13446
+ value: 88.17138238483673
13447
+ - type: cosine_spearman
13448
+ value: 84.51542547285167
13449
+ - type: euclidean_pearson
13450
+ value: 87.99782696047525
13451
+ - type: euclidean_spearman
13452
+ value: 84.51542547285167
13453
+ - type: main_score
13454
+ value: 84.51542547285167
13455
+ - type: manhattan_pearson
13456
+ value: 85.811937669563
13457
+ - type: manhattan_spearman
13458
+ value: 84.51542547285167
13459
+ - type: pearson
13460
+ value: 88.17138238483673
13461
+ - type: spearman
13462
+ value: 84.51542547285167
13463
+ task:
13464
+ type: STS
13465
+ - dataset:
13466
+ config: fr
13467
+ name: MTEB STSBenchmarkMultilingualSTS (fr)
13468
+ revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
13469
+ split: test
13470
+ type: mteb/stsb_multi_mt
13471
+ metrics:
13472
+ - type: cosine_pearson
13473
+ value: 79.98375089796882
13474
+ - type: cosine_spearman
13475
+ value: 81.06570417849169
13476
+ - type: euclidean_pearson
13477
+ value: 79.44759787417051
13478
+ - type: euclidean_spearman
13479
+ value: 81.06430479357311
13480
+ - type: main_score
13481
+ value: 81.06570417849169
13482
+ - type: manhattan_pearson
13483
+ value: 79.34683573713086
13484
+ - type: manhattan_spearman
13485
+ value: 81.00584846124926
13486
+ - type: pearson
13487
+ value: 79.98375089796882
13488
+ - type: spearman
13489
+ value: 81.06570417849169
13490
+ task:
13491
+ type: STS
13492
+ - dataset:
13493
+ config: default
13494
+ name: MTEB SummEvalFr
13495
+ revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
13496
+ split: test
13497
+ type: lyon-nlp/summarization-summeval-fr-p2p
13498
+ metrics:
13499
+ - type: cosine_pearson
13500
+ value: 31.198220154029464
13501
+ - type: cosine_spearman
13502
+ value: 30.886000528607877
13503
+ - type: dot_pearson
13504
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13505
+ - type: dot_spearman
13506
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13507
+ - type: main_score
13508
+ value: 30.886000528607877
13509
+ - type: pearson
13510
+ value: 31.198220154029464
13511
+ - type: spearman
13512
+ value: 30.886000528607877
13513
+ task:
13514
+ type: Summarization
13515
+ - dataset:
13516
+ config: default
13517
+ name: MTEB SyntecReranking
13518
+ revision: daf0863838cd9e3ba50544cdce3ac2b338a1b0ad
13519
+ split: test
13520
+ type: lyon-nlp/mteb-fr-reranking-syntec-s2p
13521
+ metrics:
13522
+ - type: main_score
13523
+ value: 86.6
13524
+ - type: map
13525
+ value: 86.6
13526
+ - type: mrr
13527
+ value: 86.6
13528
+ - type: nAUC_map_diff1
13529
+ value: 59.66160008216082
13530
+ - type: nAUC_map_max
13531
+ value: 19.768885092568734
13532
+ - type: nAUC_map_std
13533
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13534
+ - type: nAUC_mrr_diff1
13535
+ value: 59.66160008216082
13536
+ - type: nAUC_mrr_max
13537
+ value: 19.768885092568734
13538
+ - type: nAUC_mrr_std
13539
+ value: 44.66975354255961
13540
+ task:
13541
+ type: Reranking
13542
  - dataset:
13543
  config: default
13544
  name: MTEB SyntecRetrieval