Create README.md

README.md

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+This model is a fine-tuned version of bert-base-uncased on an NLI dataset. It achieves the following results on the evaluation set:
+
+{'precision': 0.8384560400285919} {'recall': 0.9536585365853658} {'f1': 0.892354507417269} {'accuracy': 0.8345996493278784}
+
+Training hyperparameters:
+
+learning_rate=2e-5
+batch_size=32
+epochs = 4
+warmup_steps=10% training data number
+optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+lr_scheduler_type: linear
+
+