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  metrics:
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  - rouge
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  model-index:
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- - name: bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum-finetuned_med_sum
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  results: []
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  ---
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@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  <img src="https://huggingface.co/Chemsseddine/bert2gpt2_med_ml_orange_summ-finetuned_med_sum_new-finetuned_med_sum_new/resolve/main/logobert2gpt2.png" alt="Map of positive probabilities per country." width="200"/>
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- # bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum-finetuned_med_sum
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  This model is a fine-tuned version of [Chemsseddine/bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum](https://huggingface.co/Chemsseddine/bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum) on the None dataset.
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  It achieves the following results on the evaluation set:
 
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  metrics:
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  - rouge
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  model-index:
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+ - name: bert2gpt2_med_v2
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  results: []
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  ---
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  <img src="https://huggingface.co/Chemsseddine/bert2gpt2_med_ml_orange_summ-finetuned_med_sum_new-finetuned_med_sum_new/resolve/main/logobert2gpt2.png" alt="Map of positive probabilities per country." width="200"/>
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+ # bert2gpt2_med_v2
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  This model is a fine-tuned version of [Chemsseddine/bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum](https://huggingface.co/Chemsseddine/bert2gpt2SUMM-finetuned-mlsum-finetuned-mlorange_sum) on the None dataset.
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  It achieves the following results on the evaluation set: