feat: added evaluation script #14
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Add WikiCLIR Retrieval Task
Add the GerDaLIR dataset
Add German STSBenchmark task
Add German XMarket dataset
Co-authored-by: Saba Sturua <[email protected]>
add paws x dataset
Add ir_datasets as dependency
Fix: Adding MTEB_SINGLE_GPU environment variable
Add GermanDPR dataset
feat: add miracl reranking task for german
Fixes mismatch between description and HuggingFace dataset
violenil
reviewed
Jan 15, 2024
| TASK_LIST = ["MIRACL", "GermanDPR", "PawsX", "GermanSTSBenchmark", "XMarket", "GerDaLIR", "WikiCLIR"] | ||
| MODELS = ['intfloat/multilingual-e5-base', 'intfloat/multilingual-e5-large', 'T-Systems-onsite/cross-en-de-roberta-sentence-transformer', 'sentence-transformers/distiluse-base-multilingual-cased-v2'] | ||
| for model_name in MODELS: | ||
| model = SentenceTransformer(model_name, device='cuda') |
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This automatically limits the max_seq_length to 512. If this is desired, then I think the MTEB scores we publish should also result from the same max_seq_length of 512 and not 8k.
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The sentence-transformers/distiluse-base-multilingual-cased-v2 model actually uses a sequence length of 128. I'm not sure how large the positional embeddings even are for these models.
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