rzkamalia/fine-tune-paraphrase-multilingual-MiniLM-L12-v2

Fine-tune sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 using Indonesia dataset

This is a sentence-transformers model fine-tuned from sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 using the CSV dataset. The dataset source is quarkss/stsb-indo-mt.

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# download model
model = SentenceTransformer("rzkamalia/fine-tune-paraphrase-multilingual-MiniLM-L12-v2")

# run inference
sentences = [
    '...',
    '...',
    '...'
]
embeddings = model.encode(sentences)

# get the similarity scores for the embeddings
similarities = model.similarity(embeddings, embeddings)

Evaluation

Metrics

Semantic Similarity

Metric	Value
pearson_cosine	0.833
spearman_cosine	0.8383