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Update README.md
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README.md
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@@ -21,18 +21,19 @@ model = AutoModelForCausalLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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```
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Model Performance
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Accuracy: 0
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Precision: 0
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Recall: 0
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Example Output:
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|ParameterName
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Limitations and bias
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It is really low grade but I had fun building it so have pushed it up
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Acknowledgments
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Thanks to the Mixtral AI team for creating the base model for this one.
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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```
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Model Performance on small 28 parameter test-set
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- Accuracy: 0
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- Precision: 0
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- Recall: 0
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### Example Output:
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| ParameterName | SNOMEDCode | ExtractedSNOMEDNumbers | CorrectPrediction |
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|---------------|------------|------------------------|-------------------|
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| Heart rate | 364075005 | 3222222 | False |
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### Limitations and bias
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It is really low grade but I had fun building it so have pushed it up
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### Acknowledgments
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Thanks to the Mixtral AI team for creating the base model for this one.
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