Update README.md

README.md

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 # Model Card for DeBERTa-v3-base-tasksource-nli
 
-DeBERTa model jointly fine-tuned on 444 tasks of the tasksource collection https://github.com/sileod/tasksource/
+DeBERTa pretrained model jointly fine-tuned on 444 tasks of the tasksource collection https://github.com/sileod/tasksource/
 This is the model with the MNLI classifier on top. Its encoder was trained on many datasets including bigbench, Anthropic/hh-rlhf... alongside many NLI and classification tasks with a SequenceClassification heads while using only one shared encoder.
 
 Each task had a specific CLS embedding, which is dropped 10% of the time to facilitate model use without it. All multiple-choice model used the same classification layers. For classification tasks, models shared weights if their labels matched.