Update README.md

README.md

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-license: mit
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+---
+language: en
+tags:
+- bert
+- sequence-classification
+- mrpc
+- paraphrase
+license: mit
+---
+
+# Model description
+
+Fine-tuned version of `bert-base-uncased` on the Microsoft Research Paraphrase Corpus (MRPC) dataset for paraphrase detection using the MRPC dataset.
+
+## Intended uses & limitations
+
+This model is intended for paraphrase detection tasks, particularly those similar to the MRPC dataset. It may not perform well on substantially different datasets or tasks.
+
+## Training and evaluation data
+
+The model was trained on the MRPC dataset, which contains 5,801 sentence pairs extracted from news sources on the web. 3,900 pairs were labeled as paraphrases by human annotators.
+
+## Training procedure
+
+The model was fine-tuned using the Hugging Face Transformers library. We used a batch size of 16, learning rate of 2e-5, and trained for 3 epochs.
+
+## Evaluation results
+
+The model achieved the following results on the MRPC validation set:
+
+- Accuracy: 0.8480
+- F1 Score: 0.8927