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README.md
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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This model was trained on around 480'000 lyrics that were classified as english by the python langdetect package. It was trained from scratch using contrastive learning and multiple negatives ranking loss. The base model was a bert-base-uncased model.
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<!--- Describe your model here -->
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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This model was trained on around 480'000 lyrics that were classified as english by the python langdetect package. It was trained from scratch using contrastive learning and multiple negatives ranking loss. The base model was a bert-base-uncased model.
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It trained for 17 epochs after the loss function stagnated at $1.16 * 10^{-4}$
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<!--- Describe your model here -->
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