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--- |
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license: bigscience-bloom-rail-1.0 |
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language: |
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- it |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This model is obtained by adapting bloom-1b7 to the Italian language. Among the languages supported by the BLOOM model, there is no Italian, making its use |
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in that context challenging. We adapt the original BLOOM model using the MAD-X language adaptation strategy. |
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Then, the model is fine-tuned over the Italian translation of the dolly dataset. |
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## Model Details |
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### Model Description |
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We adapt the bloom-1b7 to the Italian language using the MAD-X language adaptation strategy. |
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To produce a valuable model, we follow the same procedure proposed in: https://arxiv.org/abs/2212.09535 |
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We use default script parameters and select a sample of 100,000 examples in the Italian language. We decided to sample data from the Filtered Oscar Dataset for |
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the Italian Language released by Sarti. |
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Then, the adopted model is fine-tuned over the Italian translation of the dolly dataset. |
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The dolly dataset was automatically transtalted by an open-source machine translation tool: https://pypi.org/project/argostranslate/ |
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To fine-tune the adapted model, we use the script available here: https://github.com/hyintell/BLOOM-fine-tuning/tree/main |
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**It is important to underline that when you use the adapted LLM or one of its fine-tuned models is necessary to use the tokenizer of the adapted model. |
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The BLOOM model adapted to the Italian language is available here: https://huggingface.co/basilepp19/bloom-1b7_it.** |
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- **Developed by:** Pierpaolo Basile, Pierluigi Cassotti, Marco Polignano, Lucia Siciliani, Giovanni Semeraro. Department of Computer Science, University of Bari Aldo Moro, Italy |
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- **Model type:** BLOOM |
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- **Language(s) (NLP):** Italian |
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- **License:** BigScience BLOOM RAIL 1.0 |
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## Citation |
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Pierpaolo Basile, Pierluigi Cassotti, Marco Polignano, Lucia Siciliani, Giovanni Semeraro. On the impact of Language Adaptation for Large Language Models: A |
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case study for the Italian language using only open resources. Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023). |
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