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Currently, we use Cosine Similarity for similarity metric. With complex architectures like BERT, it may not be effective as the objective functions used for pre-training or fine-tuning does not direct…
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I want to use the Class "ParallelSentencesDataset" to load my very big parallel data to fine tune the pre-trained model "LaBSE". But when I used it , it seems that this Class "ParallelSentencesDatase…
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Dear author, I want to use bert-base-uncased model to train on NLI dataset based on your method for some research. Could you provide relevant training scripts so that I can better reproduce your exper…
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I tried using SentenceTransformer with a couple of models including roberta-base-nli-stsb-mean-tokens to do semantic search(cosine similarity), but I didn't get encouraging results.
I wanted to see …
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Hi,
I evaluate the InferSent 1 model on STS transfer tasks (STS12-16 and STSBenchmark) using the SentEval tool.
However I could not reproduce the same results.
2019-04-28 17:35:35,511 : ***…
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## Error message
```
Traceback (most recent call last):
File "/home/hamster/prj/study-hrp/script.py", line 192, in
senteval_results = se.eval(senteval_tasks)
File "/home/hamster/prj/stud…
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![scores](https://user-images.githubusercontent.com/45490378/149889337-977887df-ec35-4602-8a88-808c733ba774.png)
I hope to make my own testset, but I don't know how to generate the scores like th…
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Hi,
Thank you for sharing a great tool. I have practiced with training for NLI and STS separatedly. If I want to train SentenceEmbedding for both NLI and STS at the same time, how can I do that? It…
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Hello All,
I have my own domain-specific dataset containing sentence pairs with similarity scores like the Microsoft Paraphrase MRPC dataset. I want to fine-tune the language model using my custom …
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Thanks for great work!
My code based on https://github.com/UKPLab/sentence-transformers/blob/master/examples/training/nli/training_nli.py and https://github.com/UKPLab/sentence-transformers/blob/ma…