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Update @ 2024.03.25

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T3Q-ko-solar-sft-v3.0

This model is a SFT fine-tuned version of chihoonlee10/T3Q-ko-solar-dpo-v3.0

Model Developers Chihoon Lee(chlee10), T3Q

Training hyperparameters

The following hyperparameters were used during training:

  # ๋ฐ์ดํ„ฐ์…‹๊ณผ ํ›ˆ๋ จ ํšŸ์ˆ˜์™€ ๊ด€๋ จ๋œ ํ•˜์ดํผ ํŒŒ๋ผ๋ฏธํ„ฐ
  batch_size = 16
  num_epochs = 1
  micro_batch = 1
  gradient_accumulation_steps = batch_size // micro_batch
  
  # ํ›ˆ๋ จ ๋ฐฉ๋ฒ•์— ๋Œ€ํ•œ ํ•˜์ดํผ ํŒŒ๋ผ๋ฏธํ„ฐ
  cutoff_len = 4096
  lr_scheduler = 'cosine'
  warmup_ratio = 0.06 # warmup_steps = 100
  learning_rate = 5e-5
  optimizer = 'paged_adamw_32bit'
  weight_decay = 0.01
  max_grad_norm = 1.0
  
  # LoRA config
  lora_r = 16
  lora_alpha = 16
  lora_dropout = 0.05
  lora_target_modules = ["k_proj", "v_proj","gate_proj", "down_proj", "up_proj"]
  
  # Tokenizer์—์„œ ๋‚˜์˜ค๋Š” input๊ฐ’ ์„ค์ • ์˜ต์…˜
  train_on_inputs = False
  add_eos_token = False
  
  # NEFTune params
  neftune_noise_alpha = 5 
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