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[CI] Accelerate mteb test by setting SentenceTransformers mteb score to a constant (#24088)

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Signed-off-by: wang.yuqi <noooop@126.com>
This commit is contained in:
wang.yuqi
2025-09-03 17:23:56 +08:00
committed by GitHub
parent 9c99e4871f
commit 51383bd472
17 changed files with 83 additions and 52 deletions
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7
tests/models/language/pooling/test_snowflake_arctic_embed.py
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@@ -11,6 +11,7 @@ MODELS = [
CLSPoolingEmbedModelInfo("Snowflake/snowflake-arctic-embed-xs",
is_matryoshka=False,
architecture="BertModel",
mteb_score=0.714927797,
enable_test=True),
CLSPoolingEmbedModelInfo("Snowflake/snowflake-arctic-embed-s",
is_matryoshka=False,
@@ -23,6 +24,7 @@ MODELS = [
CLSPoolingEmbedModelInfo("Snowflake/snowflake-arctic-embed-m-long",
is_matryoshka=False,
architecture="NomicBertModel",
mteb_score=0.681146831,
enable_test=True),
CLSPoolingEmbedModelInfo("Snowflake/snowflake-arctic-embed-l",
is_matryoshka=False,
@@ -31,14 +33,17 @@ MODELS = [
CLSPoolingEmbedModelInfo("Snowflake/snowflake-arctic-embed-m-v1.5",
is_matryoshka=True,
architecture="BertModel",
mteb_score=0.649088363,
enable_test=True),
CLSPoolingEmbedModelInfo("Snowflake/snowflake-arctic-embed-l-v2.0",
is_matryoshka=True,
architecture="XLMRobertaModel",
mteb_score=0.712258299,
enable_test=True),
CLSPoolingEmbedModelInfo("Snowflake/snowflake-arctic-embed-m-v2.0",
is_matryoshka=True,
architecture="GteModel",
mteb_score=0.706622444,
enable_test=True),
]
@@ -46,7 +51,7 @@ MODELS = [
@pytest.mark.parametrize("model_info", MODELS)
def test_embed_models_mteb(hf_runner, vllm_runner,
model_info: EmbedModelInfo) -> None:
mteb_test_embed_models(hf_runner, vllm_runner, model_info, atol=0.02)
mteb_test_embed_models(hf_runner, vllm_runner, model_info)
@pytest.mark.parametrize("model_info", MODELS)