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https://github.com/UKPLab/sentence-transformers/blob/cfd4e3d4d4ac38f2d06438af783f36c94a571bd1/examples/training/sts/training_stsbenchmark.py#L68
The scores are normalized to [0,1], but cosine simil…
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In [Semantic Textual Similarity](https://github.com/UKPLab/sentence-transformers/tree/master/examples/training/sts) training, you're using `STSbenchmark` dataset, which has two narratives and a score …
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I see on your [documentation page](https://www.sbert.net/docs/pretrained_models.html) that there are a variety of models we can use, e.g. `roberta-large-nli-stsb-mean-tokens`.
How are these model n…
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Hi,
I was working with training_nli.py and I saw that by default, the number of epochs is set to 1. I want to train the model for the task of semantic similarity.
How many training epochs do yo…
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Hi,
I was using the 'token_embeddings' feature of the sentence transformers and ran into this error. I have passed a list of sentences to the model.encode() for generating token_embeddings. Are the…
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Hello @nreimers,
Thank you for amazingly simple to use code!
I'm trying to fine-tune the model 'bert-base-nli-mean-tokens' model to match user searches to job titles.
My training dataset cons…
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Thanks for your great work! It really great!
Maybe a stupid question, we want to use the multilingual model you provided to do similar sentence search on Chinese data, and want to know can we use o…
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The repo and the documentation is very useful!
After our comparison, we decide to use it in our project. But only one thing is that we have a big amount of texts, and your code will tokenize the tex…
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I have train a BERT-base model in Quora Pair Dataset, which is a text similarity task.
It seems the BM25 result is about 56% in top 1 ranking accuracy in test dataset of 40000 sentence.
But this sen…
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It looks like the server which hosts the pre-trained models (https://public.ukp.informatik.tu-darmstadt.de/reimers/sentence-transformers/v0.2/) has been unavailable for a few hours now.