Add VisualSTS multilingual results for e5-omni 3B/7B and Tevatron OmniEmbed

[AdnanElAssadi56]

(completes MIEB-lite 51/51)

Checklist

• My model has a model sheet, report, or similar
• My model has a reference implementation in mteb/models/model_implementations/, 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 are 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.

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Model Results Comparison

Reference models: intfloat/multilingual-e5-large, google/gemini-embedding-001
New models evaluated: Haon-Chen/e5-omni-3B, Haon-Chen/e5-omni-7B, Tevatron/OmniEmbed-v0.1

Results for Haon-Chen/e5-omni-3B

task_name	Haon-Chen/e5-omni-3B	Max result	Model with max result	In Training Data
VisualSTS-b-Multilingual	.712	.815	LCO-Embedding/LCO-Embedding-Omni-7B	False
VisualSTS17Multilingual	.758	.833	LCO-Embedding/LCO-Embedding-Omni-7B	False
Average	.735	.824	nan	-

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Results for Haon-Chen/e5-omni-7B

task_name	Haon-Chen/e5-omni-7B	Max result	Model with max result	In Training Data
VisualSTS-b-Multilingual	.757	.815	LCO-Embedding/LCO-Embedding-Omni-7B	False
VisualSTS17Multilingual	.790	.833	LCO-Embedding/LCO-Embedding-Omni-7B	False
Average	.773	.824	nan	-

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Results for Tevatron/OmniEmbed-v0.1

task_name	Tevatron/OmniEmbed-v0.1	Max result	Model with max result	In Training Data
VisualSTS-b-Multilingual	.662	.815	LCO-Embedding/LCO-Embedding-Omni-7B	False
VisualSTS17Multilingual	.738	.833	LCO-Embedding/LCO-Embedding-Omni-7B	False
Average	.700	.824	nan	-

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