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A version of the chcaa/dfm-encoder-large-v1 trained using SimCSE. It was trained as a part of the [Scandinavian Embeddings Benchmark](https://kennethenevoldsen.github.io/scandinavian-embedding-benchmark/) to establish a naive baseline for SimCSE.
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**Note**: We do not recommend this model, but instead encourage the user to check out the current best model on [SEB](https://kennethenevoldsen.github.io/scandinavian-embedding-benchmark/) or check out the [recommendation](https://huggingface.co/collections/danish-foundation-models/state-of-the-art-danish-models-65f01d84a10842712e186172) by the Danish Foundation Models team.
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## Hyperparameters
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Trained using the [SimCSE](https://github.com/princeton-nlp/SimCSE) implementation with:
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A version of the chcaa/dfm-encoder-large-v1 trained using SimCSE. It was trained as a part of the [Scandinavian Embeddings Benchmark](https://kennethenevoldsen.github.io/scandinavian-embedding-benchmark/) to establish a naive baseline for SimCSE.
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## Hyperparameters
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Trained using the [SimCSE](https://github.com/princeton-nlp/SimCSE) implementation with:
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