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cutoff_len: 1024
dataset: emoji_add_instruction_zh
dataset_dir: data
do_train: true
finetuning_type: lora
flash_attn: auto
fp16: true
gradient_accumulation_steps: 8
learning_rate: 5.0e-05
logging_steps: 5
lora_alpha: 16
lora_dropout: 0
lora_rank: 8
lora_target: q_proj,v_proj
lr_scheduler_type: cosine
max_grad_norm: 1.0
max_samples: 100000
model_name_or_path: alpindale/Mistral-7B-v0.2-hf
num_train_epochs: 3.0
optim: adamw_torch
output_dir: saves/Mistral-7B-v0.2/lora/train_2024-05-15-20-33-30
packing: false
per_device_train_batch_size: 2
quantization_bit: 4
report_to: none
save_steps: 100
stage: sft
template: mistral
warmup_steps: 0
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