training_args.yaml

cutoff_len: 4096
dataset: claimver_kgllm
dataset_dir: data
ddp_timeout: 180000000
do_train: true
finetuning_type: lora
flash_attn: auto
fp16: true
gradient_accumulation_steps: 8
include_num_input_tokens_seen: true
learning_rate: 5.0e-05
logging_steps: 5
lora_alpha: 16
lora_dropout: 0
lora_rank: 8
lora_target: all
lr_scheduler_type: cosine
max_grad_norm: 1.0
max_samples: 100000
model_name_or_path: lmsys/vicuna-7b-v1.5
num_train_epochs: 2.0
optim: adamw_torch
output_dir: saves/Vicuna1.5-7B-Chat/lora/vicuna7bv15-chat_claimver_run2
packing: false
per_device_train_batch_size: 2
plot_loss: true
preprocessing_num_workers: 16
quantization_bit: 4
report_to: none
save_steps: 100
stage: sft
template: vicuna
warmup_steps: 0