Update results.py
Browse files- results.py +92 -92
results.py
CHANGED
@@ -36,98 +36,98 @@ DEV_SPLIT = ["CmedqaRetrieval", "CovidRetrieval", "DuRetrieval", "EcomRetrieval"
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MODELS = [
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]
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from pathlib import Path
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MODELS = [
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"instructor-base",
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"xlm-roberta-large",
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"gtr-t5-large",
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"sentence-t5-xxl",
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"GIST-Embedding-v0",
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"e5-base",
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"mxbai-embed-2d-large-v1",
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"SGPT-5.8B-weightedmean-nli-bitfit",
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"jina-embeddings-v2-base-de",
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"gte-base",
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"jina-embedding-b-en-v1",
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"LaBSE",
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"sgpt-bloom-7b1-msmarco",
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"bi-cse",
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"distilbert-base-uncased",
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"bert-base-10lang-cased",
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"sentence-t5-large",
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"jina-embeddings-v2-small-en",
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"e5-mistral-7b-instruct",
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"bge-base-en-v1.5",
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"ember-v1",
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"e5-large-v2",
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"lodestone-base-4096-v1",
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"all-mpnet-base-v2",
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"sentence-t5-xl",
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"distilbert-base-en-fr-cased",
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"gte-tiny",
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"text2vec-base-multilingual",
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"GIST-all-MiniLM-L6-v2",
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"jina-embeddings-v2-base-es",
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"bert-base-multilingual-uncased",
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"distiluse-base-multilingual-cased-v2",
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"sup-simcse-bert-base-uncased",
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"e5-small-v2",
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"GritLM-7B",
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"sentence-t5-base",
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"SFR-Embedding-Mistral",
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"mxbai-embed-large-v1",
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"stella-base-en-v2",
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"udever-bloom-3b",
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"bert-base-multilingual-cased",
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"all-MiniLM-L12-v2",
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"sf_model_e5",
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"bert-base-portuguese-cased",
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"bge-small-en-v1.5",
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"SGPT-125M-weightedmean-msmarco-specb-bitfit",
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"udever-bloom-560m",
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"gtr-t5-base",
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"fin-mpnet-base",
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"SGPT-2.7B-weightedmean-msmarco-specb-bitfit",
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"xlm-roberta-base",
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"GIST-small-Embedding-v0",
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"gte-large",
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"ALL_862873",
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"e5-large",
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"distilbert-base-en-fr-es-pt-it-cased",
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"dfm-sentence-encoder-large-v1",
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"bge-micro",
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"instructor-large",
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"average_word_embeddings_glove.6B.300d",
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"multilingual-e5-large-instruct",
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"msmarco-bert-co-condensor",
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"multilingual-e5-small",
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"UAE-Large-V1",
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"udever-bloom-1b1",
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"distilbert-base-fr-cased",
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"instructor-xl",
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"bert-base-uncased",
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"all-MiniLM-L6-v2",
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"e5-base-v2",
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"jina-embedding-l-en-v1",
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"gtr-t5-xl",
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"gte-small",
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"bge-small-4096",
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"average_word_embeddings_komninos",
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"unsup-simcse-bert-base-uncased",
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"bert-base-15lang-cased",
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"paraphrase-multilingual-MiniLM-L12-v2",
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"distilbert-base-25lang-cased",
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"contriever-base-msmarco",
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"multilingual-e5-large",
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"luotuo-bert-medium",
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"GIST-large-Embedding-v0",
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"bge-large-en-v1.5",
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"cai-lunaris-text-embeddings",
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"gtr-t5-xxl",
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"multilingual-e5-base",
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"paraphrase-multilingual-mpnet-base-v2",
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"SGPT-1.3B-weightedmean-msmarco-specb-bitfit",
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"e5-dansk-test-0.1",
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"allenai-specter"
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]
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from pathlib import Path
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