Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
+- f1
+model-index:
+- name: deberta-v3-base-finetuned-MRPC
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      args: mrpc
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8872549019607843
+    - name: F1
+      type: f1
+      value: 0.9190140845070423
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# deberta-v3-base-finetuned-mrpc
+
+This model is a fine-tuned version of [deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Accuracy: 0.8873
+- F1: 0.9190
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- weight_decay: 0.01
+- num_epochs: 5