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