39 lines
871 B
YAML
39 lines
871 B
YAML
bf16: true
|
|
cutoff_len: 2048
|
|
dataset: adpr_train
|
|
dataset_dir: data
|
|
ddp_timeout: 180000000
|
|
do_train: 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: 0.01
|
|
lora_rank: 64
|
|
lora_target: q_proj,v_proj,k_proj,o_proj,gate_proj,down_proj,up_proj
|
|
lr_scheduler_type: cosine
|
|
max_grad_norm: 1.0
|
|
max_samples: 100000
|
|
model_name_or_path: GreatCaptainNemo/ProLLaMA
|
|
num_train_epochs: 3.0
|
|
optim: adamw_torch
|
|
output_dir: saves/Custom/lora/train_2025-04-05-23-57-03
|
|
packing: false
|
|
per_device_eval_batch_size: 16
|
|
per_device_train_batch_size: 16
|
|
plot_loss: true
|
|
preprocessing_num_workers: 16
|
|
report_to: none
|
|
resize_vocab: true
|
|
save_steps: 100
|
|
stage: sft
|
|
template: alpaca
|
|
trust_remote_code: true
|
|
val_size: 0.1
|
|
warmup_steps: 20
|