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@@ -35,14 +35,15 @@ tags:
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  datasets:
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  - ymoslem/wmt-da-human-evaluation
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  model-index:
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- - name: Quality Esitimation for Machine Translation
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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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- # Quality Esitimation for Machine Translation
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the ymoslem/wmt-da-human-evaluation dataset.
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  It achieves the following results on the evaluation set:
@@ -94,4 +95,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.48.0
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  - Pytorch 2.4.1+cu124
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  - Datasets 3.2.0
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- - Tokenizers 0.21.0
 
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  datasets:
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  - ymoslem/wmt-da-human-evaluation
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  model-index:
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+ - name: Quality Estimation for Machine Translation
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  results: []
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+ pipeline_tag: text-classification
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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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+ # Quality Estimation for Machine Translation
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the ymoslem/wmt-da-human-evaluation dataset.
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  It achieves the following results on the evaluation set:
 
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  - Transformers 4.48.0
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  - Pytorch 2.4.1+cu124
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  - Datasets 3.2.0
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+ - Tokenizers 0.21.0