qlora.yml

base_model: bigcode/starcoder2-3b
# Automatically upload checkpoint and final model to HF
# hub_model_id: username/custom_model_name

load_in_8bit: false
load_in_4bit: true

datasets:
  - path: mhenrichsen/alpaca_2k_test
    type: alpaca


dataset_prepared_path:
val_set_size: 0.2
output_dir: ./outputs/qlora

adapter: qlora
lora_model_dir:

sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true

lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true

wandb_project:
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:

gradient_accumulation_steps: 8
micro_batch_size: 2
num_epochs: 3
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 2e-5

bf16: auto
fp16: false
tf32: false

gradient_checkpointing: true
resume_from_checkpoint:
logging_steps: 1
flash_attention: true

warmup_steps: 20
evals_per_epoch: 4
eval_steps:
saves_per_epoch: 4
save_steps:
save_total_limit: 2
weight_decay:
special_tokens: