* nemotron config exp * Update examples/nemotron/nemotron-mini-4b-qlora.yaml Co-authored-by: NanoCode012 <kevinvong@rocketmail.com> --------- Co-authored-by: NanoCode012 <kevinvong@rocketmail.com>
58 lines
906 B
YAML
58 lines
906 B
YAML
base_model: nvidia/Nemotron-Mini-4B-Instruct
|
|
|
|
load_in_8bit: false
|
|
load_in_4bit: true
|
|
|
|
datasets:
|
|
- path: fozziethebeat/alpaca_messages_2k_test
|
|
type: chat_template
|
|
|
|
dataset_prepared_path: last_run_prepared
|
|
val_set_size: 0.1
|
|
output_dir: ./outputs/nemotron-mini-4b-qlora
|
|
|
|
adapter: qlora
|
|
lora_model_dir:
|
|
|
|
sequence_len: 4096
|
|
sample_packing: true
|
|
|
|
lora_r: 32
|
|
lora_alpha: 16
|
|
lora_dropout: 0.05
|
|
lora_target_linear: true
|
|
lora_target_modules:
|
|
- q_proj
|
|
- k_proj
|
|
- v_proj
|
|
- o_proj
|
|
- up_proj
|
|
- down_proj
|
|
|
|
wandb_project:
|
|
wandb_entity:
|
|
wandb_watch:
|
|
wandb_name:
|
|
wandb_log_model:
|
|
|
|
gradient_accumulation_steps: 4
|
|
micro_batch_size: 2
|
|
num_epochs: 1
|
|
optimizer: adamw_bnb_8bit
|
|
lr_scheduler: cosine
|
|
learning_rate: 0.0002
|
|
|
|
bf16: auto
|
|
tf32: false
|
|
|
|
gradient_checkpointing: true
|
|
resume_from_checkpoint:
|
|
logging_steps: 1
|
|
flash_attention: true
|
|
|
|
warmup_ratio: 0.1
|
|
evals_per_epoch: 1
|
|
saves_per_epoch: 1
|
|
|
|
special_tokens:
|