Update @ 2024.03.25
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:
# ๋ฐ์ดํฐ์
๊ณผ ํ๋ จ ํ์์ ๊ด๋ จ๋ ํ์ดํผ ํ๋ผ๋ฏธํฐ
batch_size = 16
num_epochs = 1
micro_batch = 1
gradient_accumulation_steps = batch_size // micro_batch
# ํ๋ จ ๋ฐฉ๋ฒ์ ๋ํ ํ์ดํผ ํ๋ผ๋ฏธํฐ
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"]
# Tokenizer์์ ๋์ค๋ input๊ฐ ์ค์ ์ต์
train_on_inputs = False
add_eos_token = False
# NEFTune params
neftune_noise_alpha = 5
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