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Update README.md

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@@ -18,9 +18,17 @@ It achieves the following results on the evaluation set:
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  - Loss: 0.1218
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  - Accuracy: 0.9451
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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  - Loss: 0.1218
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  - Accuracy: 0.9451
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+ # Latest finetune 5 Dec 2023
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+ {'eval_loss': 0.12179878354072571,
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+ 'eval_accuracy': 0.9450980392156862,
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+ 'eval_runtime': 5.8053,
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+ 'eval_samples_per_second': 43.925,
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+ 'eval_steps_per_second': 2.756,
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+ 'epoch': 20.0}
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+
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  ## Model description
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+ Finetuned distilbert-uncased on prompts that are either malicious or benign.
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  ## Intended uses & limitations
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