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README.md

@@ -1,20 +1,23 @@
+
 ---
+base_model: Agnuxo/Qwen2_0.5B
+language: ['en', 'es']
 license: apache-2.0
-datasets:
-- iamtarun/python_code_instructions_18k_alpaca
-- Vezora/Tested-143k-Python-Alpaca
-- jtatman/python-code-dataset-500k
-language:
-- es
-- en
-metrics:
-- glue
-base_model: Agnuxo/Qwen2_0.5B-Spanish_English_raspberry_pi_GGUF_16bit
+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
+# 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)
@@ -24,14 +27,56 @@ library_name: adapter-transformers
 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)
-    # Modelo Fine-tuned: Agnuxo/Qwen2_0.5B-Spanish_English_F32
 
-    Este modelo ha sido afinado para la tarea de glue (sst2) y ha sido evaluado con los siguientes resultados:
 
-    - **Precisión (Accuracy)**: 0.4438
-    - **Número de Parámetros**: 494,034,560
-    - **Memoria Necesaria**: 1.84 GB
+## 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)
+
+### 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
 
-    Puedes encontrar más detalles en mi [GitHub](https://github.com/Agnuxo1).
+For more details, visit my [GitHub](https://github.com/Agnuxo1).
 
-    ¡Gracias por tu interés en este modelo!
+Thanks for your interest in this model!