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Update README.md

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@@ -4,15 +4,18 @@ base_model: utter-project/EuroLLM-1.7B-Instruct
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  tags:
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  - xcomet_xl_xxl
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  - generated_from_trainer
 
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  model-index:
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- - name: dpo-xcomet_xl_xxl-10p-shuff-1e-7-full-no-sft-eurollm
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # dpo-xcomet_xl_xxl-10p-shuff-1e-7-full-no-sft-eurollm
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  This model is a fine-tuned version of [utter-project/EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct) on the Unbabel/TowerAligned-v0.1 dataset.
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@@ -56,4 +59,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.43.3
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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  tags:
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  - xcomet_xl_xxl
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  - generated_from_trainer
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+ - machine-translation
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  model-index:
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+ - name: EuroLLM-1.7B-Instruct-MT-DPO
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  results: []
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+ datasets:
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+ - sardinelab/MT-pref
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # EuroLLM-1.7B-Instruct-MT-DPO
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  This model is a fine-tuned version of [utter-project/EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct) on the Unbabel/TowerAligned-v0.1 dataset.
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  - Transformers 4.43.3
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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+ - Tokenizers 0.19.1