Update README.md

README.md

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 ## Model description
 
-This is a [Deberta-based](https://huggingface.co/microsoft/deberta-v3-large) model. It was first fine-tuned on for computing utility estimates of experiences (see [utilitarian-deberta-01](https://huggingface.co/pfr/utilitarian-deberta-01). It was then further fine-tuned on 160 examples of conditional utilities pairwise comparisons.
+This is a [Deberta-based](https://huggingface.co/microsoft/deberta-v3-large) model. It was first fine-tuned on for computing utility estimates of experiences (see [utilitarian-deberta-01](https://huggingface.co/pfr/utilitarian-deberta-01). It was then further fine-tuned on 160 examples of pairwise comparisons of conditional utilities.
 
 ## Intended use
 
@@ -36,7 +36,7 @@ The second training data consists of 160 crowdsourced examples of triples (S, C0
 
 ## Training procedure
 
-Starting from [utilitarian-deberta-01](https://huggingface.co/pfr/utilitarian-deberta-01), we fine-tune the model over the training data of 160 examples, with a learning rate of `1e-5`, a batch size of `8`, and `nepochs` of 2.
+Starting from [utilitarian-deberta-01](https://huggingface.co/pfr/utilitarian-deberta-01), we fine-tune the model over the training data of 160 examples, with a learning rate of `1e-5`, a batch size of `8`, and for 2 epochs.
 
 ## Evaluation results