flax sentence embeddings/st codesearch distilroberta base This is a sentence transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. It was trained on the code search net dataset and can be used to search program code given text. Usage: Usage (Sentence Transformers) Using this model becomes easy when you have sentence transformers installed: Then you can use the model like this: Training The model was trained with a DistilRoBERTa base model for 10k training steps on the codesearch dataset with batch size 256 and MultipleNegativesRankingLoss. It is some preliminary model. It was neither tested nor was the trained quite sophisticated The model was trained with the parameters: DataLoader : MultiDatasetDataLoader.MultiDatasetDataLoader of length 5371 with parameters: Loss : sentence transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss with parameters: Parameters of the fit() Method: Full Model Architecture Citing & Authors
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