add_bos: false
checkpointing_steps: null
clip_grad_norm: -1
config_name: null
dataset_config_name: null
dataset_name: null
do_eval: true
eval_batch_size: 2
eval_file: self-seq/data/lima500_withsys.jsonl
eval_steps: '100'
gradient_accumulation_steps: 16
gradient_checkpointing: true
learning_rate: 2.0e-05
logging_steps: 5
lora_alpha: 16
lora_dropout: 0.1
lora_rank: 64
low_cpu_mem_usage: false
lr_scheduler_type: linear
max_seq_length: 2048
max_train_steps: 2316
model_name_or_path: /nas/shared/NLP_A100/model/Meta-Llama-3-8B
model_revision: main
num_train_epochs: 3
output_dir: output/self-seq-Meta-Llama-3-8B-tulu100k_base_ours_new_llama70b/
overwrite_cache: false
per_device_train_batch_size: 2
preprocessing_num_workers: 64
prompt_template: tulu
reduce_loss: mean
report_to: all
resume_from_checkpoint: null
sample_train: -1
seed: 42
timeout: 1800
tokenizer_name: /nas/shared/NLP_A100/model/Meta-Llama-3-8B
tokenizer_revision: null
train_file: self-seq/data/tuluv2/tuluv2_100k_base_ours_new.jsonl
trust_remote_code: false
use_8bit_optimizer: false
use_flash_attn: true
use_lora: false
use_qlora: false
use_slow_tokenizer: true
warmup_ratio: 0.03
weight_decay: 0.0
with_tracking: true