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README.md

@@ -7,14 +7,7 @@ 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: 
-- accuracy
-- bertscore
-- bleu
-- comet
 - glue
-- google_bleu
-- perplexity
-- rouge
 ---
 
 # Uploaded model
@@ -33,46 +26,11 @@ 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:
 
-### accuracy
-**Accuracy:** Not Available
-
-![accuracy Accuracy](./accuracy_accuracy.png)
-
-### bertscore
-**Bertscore:** Not Available
-
-![bertscore Bertscore](./bertscore_bertscore.png)
-
-### bleu
-**Bleu:** Not Available
-
-![bleu Bleu](./bleu_bleu.png)
-
-### comet
-**Comet:** Not Available
-
-![comet Comet](./comet_comet.png)
-
 ### glue
 **Glue:** Not Available
 
 ![glue Glue](./glue_glue.png)
 
-### google_bleu
-**Google_bleu:** Not Available
-
-![google_bleu Google_bleu](./google_bleu_google_bleu.png)
-
-### perplexity
-**Perplexity:** Not Available
-
-![perplexity Perplexity](./perplexity_perplexity.png)
-
-### rouge
-**Rouge:** Not Available
-
-![rouge Rouge](./rouge_rouge.png)
-
 
 Model Size: 494,032,768 parameters
 Required Memory: 1.84 GB