bf16: true
cutoff_len: 2048
dataset: demo_data
dataset_dir: data
ddp_timeout: 180000000
do_train: true
double_quantization: true
eval_steps: 20
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: 16
lora_dropout: 0.05
lora_rank: 8
lora_target: all
lr_scheduler_type: cosine
max_grad_norm: 1.0
max_samples: 100000
model_name_or_path: microsoft/Phi-3-medium-4k-instruct
num_train_epochs: 10.0
optim: adamw_torch
output_dir: saves/Phi-3-14B-8k-Instruct/lora/train_2025-04-09-16-08
packing: false
per_device_eval_batch_size: 2
per_device_train_batch_size: 2
plot_loss: true
preprocessing_num_workers: 16
quantization_bit: 8
quantization_method: bnb
report_to:
- tensorboard
save_steps: 20
stage: sft
template: phi
trust_remote_code: true
use_rslora: true
val_size: 0.115
warmup_steps: 0