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datasets:
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- sentence-transformers/msmarco-msmarco-distilbert-base-v3
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- microsoft/ms_marco
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# constructai/taylor-
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This model is a fine-tuned version of a custom BERT-like encoder (hidden_size=384, 6 layers) trained on MS MARCO passage ranking dataset.
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It uses **triplet hard negatives** from [`sentence-transformers/msmarco-msmarco-distilbert-base-v3`](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3) (Apache-2.0 license). The base MS MARCO data is subject to [Microsoft Research License](https://github.com/microsoft/MSMARCO-Passage-Ranking/blob/master/LICENSE).
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datasets:
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- sentence-transformers/msmarco-msmarco-distilbert-base-v3
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- microsoft/ms_marco
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tags:
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- taylor-m1
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---
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# constructai/taylor-m1-38m-128
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This model is a fine-tuned version of a custom BERT-like encoder (hidden_size=384, 6 layers) trained on MS MARCO passage ranking dataset.
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It uses **triplet hard negatives** from [`sentence-transformers/msmarco-msmarco-distilbert-base-v3`](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3) (Apache-2.0 license). The base MS MARCO data is subject to [Microsoft Research License](https://github.com/microsoft/MSMARCO-Passage-Ranking/blob/master/LICENSE).
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