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Related Questions
- What is the optimal dataset size for fine-tuning a large language model like Qwen for high-performance?
- How does the quality of the fine-tuning dataset impact the model's ability to generalize to unseen data?
- Can you explain the relationship between dataset size and the model's capacity to learn nuanced language patterns?
- What are the potential drawbacks of using a small fine-tuning dataset for Qwen and how can they be mitigated?
- How does the diversity of the fine-tuning dataset influence the model's ability to handle out-of-domain tasks?
- What is the effect of oversampling or undersampling the fine-tuning dataset on Qwen's performance?
- Are there any known limitations or biases introduced by fine-tuning with a small dataset, and how can they be addressed?
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