Corrected a typo in the 'TatonkaHF/bge-m3_en_ru' model name in the Initialization section.
#2
by shlepakov - opened
README.md
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@@ -108,7 +108,7 @@ Also, you can use native [FlagEmbedding](https://github.com/FlagOpen/FlagEmbeddi
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We follow the [`USER-base`](https://huggingface.co/deepvk/USER-base) model training algorithm, with several changes as we use different backbone.
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**Initialization:** [`TatonkaHF/bge-
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**Fine-tuning:** Supervised fine-tuning two different models based on data symmetry and then merging via [`LM-Cocktail`](https://arxiv.org/abs/2311.13534):
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We follow the [`USER-base`](https://huggingface.co/deepvk/USER-base) model training algorithm, with several changes as we use different backbone.
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**Initialization:** [`TatonkaHF/bge-m3_en_ru`](https://huggingface.co/TatonkaHF/bge-m3_en_ru) – shrinked version of [`baai/bge-m3`](https://huggingface.co/BAAI/bge-m3) to support only Russian and English tokens.
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**Fine-tuning:** Supervised fine-tuning two different models based on data symmetry and then merging via [`LM-Cocktail`](https://arxiv.org/abs/2311.13534):
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