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added evaluation :)

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  base_model: unsloth/llama-3-8b-bnb-4bit
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  datasets:
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  - mii-community/ultrafeedback-translated-ita
 
 
 
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  ---
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  # Uploaded model
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  This llama 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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  base_model: unsloth/llama-3-8b-bnb-4bit
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  datasets:
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  - mii-community/ultrafeedback-translated-ita
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+ ## Evaluation
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  ---
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  # Uploaded model
 
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  This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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+ For a detailed comparison of model performance, check out the [Leaderboard for Italian Language Models](https://huggingface.co/spaces/FinancialSupport/open_ita_llm_leaderboard).
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+ Here's a breakdown of the performance metrics:
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+ | Metric | hellaswag_it acc_norm | arc_it acc_norm | m_mmlu_it 5-shot acc | Average |
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+ |:----------------------------|:----------------------|:----------------|:---------------------|:--------|
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+ | **Accuracy Normalized** | 0.6064 | 0.4611 | 0.5328 | 0.5334 |
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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)