gpt2_jsonl_finetuning_optimization
Fine-tune GPT-2 on JSONL datasets (supporting both generic text and Q&A formats) using Hugging Face Transformers, with a focus on memory-efficient training strategies like mixed precision and gradient accumulation.
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Fine-tune GPT-2 on JSONL datasets (supporting both generic text and Q&A formats) using Hugging Face Transformers, with a focus on memory-efficient training strategies like mixed precision and gradient accumulation.
PyTorch deep learning development with transformers, diffusion models, and GPU optimization.
PyTorch deep learning development with transformers, diffusion models, and GPU optimization.
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