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license: apache-2.0 |
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datasets: |
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- iamtarun/python_code_instructions_18k_alpaca |
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- Vezora/Tested-143k-Python-Alpaca |
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- jtatman/python-code-dataset-500k |
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language: |
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- es |
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- en |
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metrics: |
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- glue |
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base_model: Agnuxo/Qwen2_0.5B-Spanish_English_raspberry_pi_GGUF_16bit |
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library_name: adapter-transformers |
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--- |
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# Uploaded model |
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[<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) |
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- **Developed by:** Agnuxo(https://github.com/Agnuxo1) |
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- **License:** apache-2.0 |
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- **Finetuned from model :** Agnuxo/Mistral-NeMo-Minitron-8B-Base-Nebulal |
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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# Modelo Fine-tuned: Agnuxo/Qwen2_0.5B-Spanish_English_F32 |
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Este modelo ha sido afinado para la tarea de glue (sst2) y ha sido evaluado con los siguientes resultados: |
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- **Precisión (Accuracy)**: 0.4438 |
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- **Número de Parámetros**: 494,034,560 |
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- **Memoria Necesaria**: 1.84 GB |
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Puedes encontrar más detalles en mi [GitHub](https://github.com/Agnuxo1). |
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¡Gracias por tu interés en este modelo! |
