bf16: true
cutoff_len: 2048
dataset: ets480
dataset_dir: data
ddp_timeout: 180000000
deepspeed: cache/ds_z3_offload_config.json
do_train: true
double_quantization: true
eval_steps: 100
eval_strategy: steps
finetuning_type: lora
flash_attn: auto
gradient_accumulation_steps: 8
include_num_input_tokens_seen: true
learning_rate: 5.0e-05
logging_steps: 5
lora_alpha: 128
lora_dropout: 0
lora_rank: 64
lora_target: all
lr_scheduler_type: cosine
max_grad_norm: 1.0
max_samples: 100000
model_name_or_path: meta-llama/Llama-3.3-70B-Instruct
num_train_epochs: 8.0
optim: adamw_torch
output_dir: saves/Llama-3.3-70B-Instruct/lora/train
packing: false
per_device_eval_batch_size: 1
per_device_train_batch_size: 1
plot_loss: true
preprocessing_num_workers: 16
quantization_bit: 4
quantization_method: bitsandbytes
report_to: none
save_steps: 100
stage: sft
template: llama3
trust_remote_code: true
val_size: 0.2
warmup_steps: 0