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qnli

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qnli

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  1. Add llama_finetune_qnli_r16_alpha=32_dropout=0.05_lr0.0001_data_size1000_max_steps=500_seed=123 LoRA model

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  2. Add llama_finetune_qnli_r16_alpha=32_dropout=0.05_lr0.0003_data_size1000_max_steps=100_seed=123 LoRA model

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  3. Add llama_finetune_qnli_r16_alpha=32_dropout=0.05_lr0.0003_data_size1000_max_steps=500_seed=123 LoRA model

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  4. Add llama_finetune_qnli_r16_alpha=32_dropout=0.05_lr5e-05_data_size1000_max_steps=500_seed=123 LoRA model

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  5. Add llama_finetune_qnli_r16_alpha=32_dropout=0.05_lr0.0001_data_size1000_max_steps=100_seed=123 LoRA model

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  6. Add llama_finetune_qnli_r16_alpha=32_dropout=0.05_lr0.0002_data_size1000_max_steps=500_seed=123 LoRA model

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  7. Add llama_finetune_qnli_r16_alpha=32_dropout=0.05_lr0.0002_data_size1000_max_steps=100_seed=123 LoRA model

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  8. Add/update README

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  9. initial commit

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