Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Transformers
English
t5
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
prompt-retrieval
text-reranking
feature-extraction
English
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Eval Results (legacy)
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Spaces using ahmet1338/finetuned_embedder 11
Evaluation results
- accuracy on MTEB AmazonCounterfactualClassification (en)test set self-reported88.134
- ap on MTEB AmazonCounterfactualClassification (en)test set self-reported59.298
- f1 on MTEB AmazonCounterfactualClassification (en)test set self-reported83.318
- accuracy on MTEB AmazonPolarityClassificationtest set self-reported91.526
- ap on MTEB AmazonPolarityClassificationtest set self-reported88.163
- f1 on MTEB AmazonPolarityClassificationtest set self-reported91.511
- accuracy on MTEB AmazonReviewsClassification (en)test set self-reported47.856
- f1 on MTEB AmazonReviewsClassification (en)test set self-reported45.415
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ahmet1338/finetuned_embedder") model = AutoModel.from_pretrained("ahmet1338/finetuned_embedder")