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metadata
datasets:
  - unicamp-dl/mmarco
library_name: sentence-transformers
pipeline_tag: sentence-similarity
tags:
  - sentence-transformers
  - feature-extraction
  - sentence-similarity
license: mit
widget: []
base_model:
  - BAAI/bge-m3

BGE-M3 Lingustic Transfer (Catalan-French)

This is a BGE-M3 model post-trained on French translated to Catalan Queries and French Documents from MMARCO/v2.

This model was fine-tuned for the "Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer" ECIR2025 paper. The source code for the paper can be found here

Model Details

Model Description

  • Model Type: Sentence Transformer
  • Maximum Sequence Length: 8192 tokens
  • Output Dimensionality: 1024 tokens
  • Similarity Function: Cosine Similarity

Training Details

Framework Versions

  • Python: 3.10.14
  • Sentence Transformers: 3.0.1
  • Transformers: 4.41.2
  • PyTorch: 2.4.0.post301
  • Accelerate: 0.32.1
  • Datasets: 2.19.1
  • Tokenizers: 0.19.1