add_bos: false
checkpointing_steps: null
clip_grad_norm: -1
config_name: null
dataset_config_name: null
dataset_name: null
gradient_accumulation_steps: 32
gradient_checkpointing: true
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: linear
max_seq_length: 700
max_train_steps: 28
model_name_or_path: codellama/CodeLlama-7b-Python-hf
num_train_epochs: 4
output_dir: outputs/refinement_7b_4ep/
overwrite_cache: false
per_device_train_batch_size: 2
preprocessing_num_workers: 16
reduce_loss: mean
report_to: tensorboard
resume_from_checkpoint: null
seed: null
timeout: 1800
tokenizer_name: codellama/CodeLlama-7b-Python-hf
train_file: /local1/mohsenfayyaz/projects/cs247/cs247/xq_scripts/data_refinement_train.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