A collection of Qwen2 models fine-tuned to improve performance in the Italian language • 2 items • Updated
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.
Uploaded model
- Developed by: e-palmisano
- License: apache-2.0
- Finetuned from model : unsloth/Qwen2-0.5B-Instruct-bnb-4bit
Evaluation
For a detailed comparison of model performance, check out the Leaderboard for Italian Language Models.
Here's a breakdown of the performance metrics:
| Metric | hellaswag_it acc_norm | arc_it acc_norm | m_mmlu_it 5-shot acc | Average |
|---|---|---|---|---|
| Accuracy Normalized | 36.28 | 27.63 | 35.4 | 33.1 |
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model size
0.5B params
Tensor type
BF16
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Model tree for e-palmisano/Qwen2-0.5B-ITA-Instruct
Quantizations
4 models