Update README.md

README.md

@@ -1,4 +1,57 @@
+---
+language:
+- en
+- es
+license: apache-2.0
+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
+---
 
+# Uploaded model
+
+[<img src="https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" width="100"/><img src="https://github.githubassets.com/assets/GitHub-Logo-ee398b662d42.png" width="100"/>](https://github.com/Agnuxo1)
+- **Developed by:** Agnuxo(https://github.com/Agnuxo1)
+- **License:** apache-2.0
+- **Finetuned from model :** Agnuxo/Mistral-NeMo-Minitron-8B-Base-Nebulal
+
+This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+
+
+## Benchmark Results
+
+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)
+
+
+
+For more details, visit my [GitHub](https://github.com/Agnuxo1).
     # Modelo Fine-tuned: Agnuxo/Llama-3.1-Minitron-4B-Instruct_CODE_Python_Spanish_English_16bit
 
     Este modelo ha sido afinado para la tarea de glue (sst2) y ha sido evaluado con los siguientes resultados:
@@ -9,5 +62,4 @@
 
     Puedes encontrar más detalles en mi [GitHub](https://github.com/Agnuxo1).
 
-    Thanks for your interest in this model!
-    
+    Thanks for your interest in this model!