update youtu embedding model metadata

[spring-quan]

Checklist

• My model has a model sheet, report or similar
• My model has a reference implementation in mteb/models/ this can be as an API. Instruction on how to add a model can be found here
  • No, but there is an existing PR ___
• The results submitted is obtained using the reference implementation
• My model is available, either as a publicly accessible API or publicly on e.g., Huggingface
• I solemnly swear that for all results submitted I have not trained on the evaluation dataset including training splits. If I have I have disclosed it clearly.

[github-actions]

Model Results Comparison

Reference models: intfloat/multilingual-e5-large, google/gemini-embedding-001
New models evaluated: tencent/Youtu-Embedding, tencent/Youtu-Embedding
Tasks: AFQMC, ATEC, BQ, CLSClusteringP2P, CLSClusteringS2S, CMedQAv1-reranking, CMedQAv2-reranking, CmedqaRetrieval, Cmnli, CovidRetrieval, DuRetrieval, EcomRetrieval, IFlyTek, JDReview, LCQMC, MMarcoReranking, MMarcoRetrieval, MedicalRetrieval, MultilingualSentiment, Ocnli, OnlineShopping, PAWSX, QBQTC, STSB, T2Reranking, T2Retrieval, TNews, ThuNewsClusteringP2P, ThuNewsClusteringS2S, VideoRetrieval, Waimai

Results for tencent/Youtu-Embedding

task_name	google/gemini-embedding-001	tencent/Youtu-Embedding	tencent/Youtu-Embedding	intfloat/multilingual-e5-large	Max result
Revisions		1	32e04afc24817c187a8422e7bdbb493b19796d47
AFQMC	nan	0.6711	0.7219	0.3301	0.7225
ATEC	nan	0.5989	0.6170	0.3981	0.6464
BQ	nan	0.7401	0.7227	0.4850	0.8125
CLSClusteringP2P	nan	0.7580	0.8153	nan	0.8225
CLSClusteringS2S	nan	0.7131	0.7627	nan	0.7408
CMedQAv1-reranking	nan	0.9162	0.9109	0.6765	0.9434
CMedQAv2-reranking	nan	0.9211	0.9256	0.6678	0.9353
CmedqaRetrieval	nan	0.5742	0.5272	0.2866	0.5658
Cmnli	nan	0.9015	0.8773	nan	0.9579
CovidRetrieval	0.7913	0.9291	0.9194	0.7561	0.9606
DuRetrieval	nan	0.9107	0.9198	0.8530	0.9423
EcomRetrieval	nan	0.7328	0.7447	0.5467	0.7881
IFlyTek	nan	0.5273	0.5973	0.4186	0.5799
JDReview	nan	0.9054	0.8923	0.8054	0.9214
LCQMC	nan	0.7997	0.7748	0.7595	0.8354
MMarcoReranking	nan	0.3890	0.4358	0.2912	0.4689
MMarcoRetrieval	nan	0.8957	0.8845	0.7920	0.9033
MedicalRetrieval	nan	0.7324	0.7379	0.5144	0.7562
MultilingualSentiment	nan	0.8089	0.7985	0.7090	0.8536
Ocnli	nan	0.8923	0.8452	nan	0.9518
OnlineShopping	nan	0.9479	0.9413	0.9045	0.9716
PAWSX	nan	0.6782	0.5932	0.1463	0.7331
QBQTC	nan	0.5958	0.5560	nan	0.7145
STSB	0.8550	0.8576	0.8318	0.8236	0.9199
T2Reranking	0.6795	0.7277	0.7315	0.6632	0.7283
T2Retrieval	nan	0.8902	0.8750	0.7607	0.8926
TNews	nan	0.6010	0.6005	0.4880	0.6090
ThuNewsClusteringP2P	nan	0.8698	0.8973	nan	0.8976
ThuNewsClusteringS2S	nan	0.8459	0.8955	nan	0.8790
VideoRetrieval	nan	0.8105	0.8085	0.5828	0.8384
Waimai	nan	0.8980	0.8933	0.8630	0.9231
Average	0.7753	0.7755	0.7760	0.6051	0.8134

Model have high performance on these tasks: CmedqaRetrieval

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Results for tencent/Youtu-Embedding

task_name	google/gemini-embedding-001	tencent/Youtu-Embedding	tencent/Youtu-Embedding	intfloat/multilingual-e5-large	Max result
Revisions		1	32e04afc24817c187a8422e7bdbb493b19796d47
AFQMC	nan	0.6711	0.7219	0.3301	0.7225
ATEC	nan	0.5967	0.6170	0.3980	0.6464
BQ	nan	0.7295	0.7227	0.4644	0.8125
CLSClusteringP2P	nan	0.7580	0.8153	nan	0.8225
CLSClusteringS2S	nan	0.7131	0.7627	nan	0.7408
CMedQAv1-reranking	nan	0.9162	0.9109	0.6765	0.9434
CMedQAv2-reranking	nan	0.9211	0.9256	0.6678	0.9353
CmedqaRetrieval	nan	0.5742	0.5272	0.2866	0.5658
Cmnli	nan	0.9015	0.8773	nan	0.9579
CovidRetrieval	0.7913	0.9291	0.9194	0.7561	0.9606
DuRetrieval	nan	0.9107	0.9198	0.8530	0.9423
EcomRetrieval	nan	0.7328	0.7447	0.5467	0.7881
IFlyTek	nan	0.5273	0.5973	0.4186	0.5799
JDReview	nan	0.9054	0.8923	0.8054	0.9214
LCQMC	nan	0.7997	0.7748	0.7595	0.8354
MMarcoReranking	nan	0.3890	0.4358	0.2912	0.4689
MMarcoRetrieval	nan	0.8957	0.8845	0.7920	0.9033
MedicalRetrieval	nan	0.7324	0.7379	0.5144	0.7562
MultilingualSentiment	nan	0.8089	0.7985	0.7090	0.8536
Ocnli	nan	0.8923	0.8452	nan	0.9518
OnlineShopping	nan	0.9479	0.9413	0.9045	0.9716
PAWSX	nan	0.6782	0.5932	0.1463	0.7331
QBQTC	nan	0.5958	0.5560	nan	0.7145
STSB	0.8465	0.8484	0.8318	0.8108	0.9140
T2Reranking	0.6795	0.7277	0.7315	0.6632	0.7283
T2Retrieval	nan	0.8902	0.8750	0.7607	0.8926
TNews	nan	0.6010	0.6005	0.4880	0.6090
ThuNewsClusteringP2P	nan	0.8698	0.8973	nan	0.8976
ThuNewsClusteringS2S	nan	0.8459	0.8955	nan	0.8790
VideoRetrieval	nan	0.8105	0.8085	0.5828	0.8384
Waimai	nan	0.8980	0.8933	0.8630	0.9231
Average	0.7725	0.7748	0.7760	0.6037	0.8132

Model have high performance on these tasks: CLSClusteringS2S,IFlyTek,T2Reranking,ThuNewsClusteringS2S

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[Samoed]

@spring-quan You need to rename folder too