Update README.md

README.md

@@ -3,12 +3,19 @@ This model is a fine-tuned version of bert-base-uncased on an NLI dataset. It ac
 {'precision': 0.9690210656753407} {'recall': 0.9722337339411521} {'f1': 0.9706247414149772} {'accuracy': 0.9535340314136126}
 
 Training hyperparameters:
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 learning_rate: 2e-5
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 train_batch_size: 8
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 eval_batch_size: 8
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 optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
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 weight_decay= 0.01
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 lr_scheduler_type: linear
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 num_epochs: 3