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NghiemAbe
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QAvietnamese

Text Generation
PEFT
Vietnamese
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Information

  • Model Pretrain: VietAI/gpt-neo-1.3B-vietnamese-news

Training procedure

batch_size: int = 128

micro_batch_size: int = 2

num_epochs: int = 1

learning_rate: float = 3e-4

cutoff_len: int = 256

val_set_size: int = 0

Lora hyperparams

lora_r: int = 6

lora_alpha: int = 12

lora_dropout: float = 0.05

lora_target_modules: str = "q_proj k_proj v_proj"

Framework versions

  • transformer 4.32.1
  • pytorch
  • PEFT 0.5.0

How to use 

BASE_MODEL = "VietAI/gpt-neo-1.3B-vietnamese-news"
PEFT_WEIGHTS = "NghiemAbe/QAvietnamese"

model = AutoModelForCausalLM.from_pretrained(BASE_MODEL, torch_dtype=torch.bfloat16)
model = PeftModel.from_pretrained(model, PEFT_WEIGHTS, torch_dtype=torch.bfloat16)
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