Sentence Similarity
PEFT
Safetensors
English
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
text-reranking
feature-extraction
Sentence Similarity
natural_questions
ms_marco
fever
hotpot_qa
mteb
Eval Results
Mac different results
#2
by
l0d0v1c
- opened
I tried with mac M2 (using https://download.pytorch.org/whl/nightly/cpu becaus bfloat16 is not supported on MPS). It works but I get different results:
tensor([[0.5709, 0.1221],
[0.0952, 0.3745]])
insead of
tensor([[0.6175, 0.2535],
[0.2298, 0.5792]])
in your example.
Anyway very interesting work! Thank you.