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README.md
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language:
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- qwen2
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- trl
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---
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# Uploaded model
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- **Developed by:** e-palmisano
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- **License:** apache-2.0
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- **Finetuned from model :**
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This qwen2 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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license: apache-2.0
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datasets:
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- gsarti/clean_mc4_it
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- FreedomIntelligence/alpaca-gpt4-italian
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language:
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- it
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- en
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This model has been fine-tuned with the continuous pretraining mode of Unsloth on the gsarti/clean_mc4_it dataset (only 100k rows) to improve the Italian language. The second fine-tuning was performed on the instructed dataset FreedomIntelligence/alpaca-gpt4-italian.
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# Uploaded model
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- **Developed by:** e-palmisano
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/Qwen2-1.5B-Instruct-bnb-4bit
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## Evaluation
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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** | | | | |
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This qwen2 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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