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Update README.md

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@@ -5,16 +5,19 @@ 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: sft-xcomet_xl_xxl-chosen-10lp-shuff-full-gemma
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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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- # sft-xcomet_xl_xxl-chosen-10lp-shuff-full-gemma
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- This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the Unbabel/TowerAligned-v0.1 dataset.
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  ## Model description
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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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  - xcomet_xl_xxl
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  - generated_from_trainer
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  model-index:
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+ - name: gemma-2-2b-it-MT-SFT
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  results: []
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+ datasets:
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+ - sardinelab/MT-pref
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+ pipeline_tag: translation
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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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+ # gemma-2-2b-it-MT-SFT
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+ This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the sardinelab/MT-pref dataset.
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  ## Model description
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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