quip-4k-gemma / training_args.yaml
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bf16: true
cutoff_len: 1024
dataset: identity
dataset_dir: data
ddp_timeout: 180000000
do_train: true
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
lora_rank: 8
lora_target: all
lr_scheduler_type: cosine
max_grad_norm: 3.0
max_samples: 100000
model_name_or_path: unsloth/gemma-2-2b-it
num_train_epochs: 6.0
optim: adamw_torch
output_dir: saves/Gemma-2B/lora/4k_train_2024-10-17-07-48-45
packing: false
per_device_train_batch_size: 2
plot_loss: true
preprocessing_num_workers: 16
report_to: none
save_steps: 100
stage: sft
template: default
warmup_steps: 0