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README.md

@@ -7,7 +7,8 @@ tags: ['text-generation-inference', 'transformers', 'unsloth', 'mistral', 'gguf'
 datasets: ['iamtarun/python_code_instructions_18k_alpaca', 'jtatman/python-code-dataset-500k', 'flytech/python-codes-25k', 'Vezora/Tested-143k-Python-Alpaca', 'codefuse-ai/CodeExercise-Python-27k', 'Vezora/Tested-22k-Python-Alpaca', 'mlabonne/Evol-Instruct-Python-26k']
 library_name: adapter-transformers
 metrics: 
-- glue
+- accuracy
+- bertscore
 ---
 
 # Uploaded model
@@ -26,10 +27,15 @@ This mistral model was trained 2x faster with [Unsloth](https://github.com/unslo
 
 This model has been fine-tuned for various tasks and evaluated on the following benchmarks:
 
-### glue
-**Glue:** Not Available
+### accuracy
+**Accuracy:** Not Available
 
-![glue Glue](./glue_glue.png)
+![accuracy Accuracy](./accuracy_accuracy.png)
+
+### bertscore
+**Bertscore:** Not Available
+
+![bertscore Bertscore](./bertscore_bertscore.png)
 
 
 Model Size: 494,032,768 parameters