Sentence Similarity
sentence-transformers
PyTorch
Chinese
bert
feature-extraction
text-embeddings-inference
Instructions to use oldhu/text2vec-lert-base-5-tasks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use oldhu/text2vec-lert-base-5-tasks with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("oldhu/text2vec-lert-base-5-tasks") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
| global_step,train_loss,eval_spearman,eval_pearson | |
| 14247,0.0,0.44640911117513316,0.37204173786267986 | |
| 28494,0.0,0.5368602869667283,0.46418897883549226 | |
| 42741,0.0,0.5363432540335564,0.4693935695598132 | |
| 56988,0.0,0.5524778906429818,0.48711551165474787 | |
| 71235,0.0,0.5601294876480567,0.49374641851065676 | |
| 85482,0.0,0.5642261647874868,0.4953772027897005 | |
| 99729,0.0,0.5664328609772676,0.5015888844280011 | |
| 113976,0.0,0.5683871881340451,0.5057241284359141 | |
| 128223,0.0,0.5732890915719637,0.5113278130411432 | |
| 142470,0.0,0.5799801031488225,0.5167570048030995 | |