checkpointing_steps: '50'
config_name: null
dataset_config_name: null
dataset_name: null
gradient_accumulation_steps: 16
learning_rate: 2.0e-05
logging_steps: 1
lora_alpha: 16
lora_dropout: 0.1
lora_rank: 64
low_cpu_mem_usage: false
lr_scheduler_type: cosine
max_seq_length: 2048
max_train_steps: 550
model_name_or_path: meta-llama/Llama-2-7b-chat-hf
num_train_epochs: 2
output_dir: multi_passage_w_qa
overwrite_cache: false
per_device_train_batch_size: 1
preprocessing_num_workers: 16
report_to: tensorboard
resume_from_checkpoint: multi_passage_w_qa/step_100
save_merged_lora_model: false
seed: null
tokenizer_name: meta-llama/Llama-2-7b-chat-hf
train_file: /gscratch/h2lab/abhikam/llm-factuality/data/training/open-instruct-multi-qa.json
use_flash_attn: true
use_lora: false
use_slow_tokenizer: true
warmup_ratio: 0.03
weight_decay: 0.0
with_tracking: true