bf16: true
cutoff_len: 1024
dataset: chapterization
dataset_dir: data
do_train: true
finetuning_type: lora
flash_attn: fa2
gradient_accumulation_steps: 4
learning_rate: 0.0002
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: 0.3
max_samples: 100000
model_name_or_path: mistralai/Mistral-7B-Instruct-v0.2
num_train_epochs: 1.0
optim: adamw_torch
output_dir: saves/Mistral-7B-v0.2-Chat/lora/Chapterization_Mistral-7B-v0.2-Chat_0.1.0
packing: false
per_device_train_batch_size: 16
quantization_bit: 4
report_to: none
save_steps: 100
stage: sft
template: mistral
warmup_steps: 0