This model is based on sentence-transformers: It maps target word in sentences to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Training The model was trained with the parameters:
`torch.utils.data.dataloader.DataLoader` of length 16531 with parameters:
`sentencetransformers.losses.ContrastiveLoss.ContrastiveLoss` with parameters: