Georgian E5 Fine-tuned Text Embeddings
Fine-tuned version of intfloat/multilingual-e5-small for Georgian text embeddings using contrastive learning.
Model Performance
- Validation Accuracy: 82.53%
- Training completed over 3 epochs
- Contrastive loss with margin=0.5
Dataset
- 13,000+ Georgian text pairs across 9 semantic relationship types
Usage
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("matsut21/georgian-e5-finetuned")
model = AutoModel.from_pretrained("matsut21/georgian-e5-finetuned")
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Base model
intfloat/multilingual-e5-small