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update README with accuracy graph

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@@ -16,6 +16,10 @@ This is a [SetFit model](https://github.com/huggingface/setfit) that can be used
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  1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
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  2. Training a classification head with features from the fine-tuned Sentence Transformer.
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  ## The data
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  The model has been trained on news headlines that have been manually annotated at KBLab by the PhD student Nora Hansson Bittár.
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  1. Fine-tuning a [Sentence Transformer](https://www.sbert.net) with contrastive learning.
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  2. Training a classification head with features from the fine-tuned Sentence Transformer.
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+ Accuracy on a number of experiments can be found in the figure below.
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+ <img src="./emotional_accuracy.svg">
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+
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  ## The data
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  The model has been trained on news headlines that have been manually annotated at KBLab by the PhD student Nora Hansson Bittár.
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