Files
axolotl/examples/pythia/lora.yml
NanoCode012 a1da39cd48 Feat(wandb): Refactor to be more flexible (#767)
* Feat: Update to handle wandb env better

* chore: rename wandb_run_id to wandb_name

* feat: add new recommendation and update config

* fix: indent and pop disabled env if project passed

* feat: test env set for wandb and recommendation

* feat: update to use wandb_name and allow id

* chore: add info to readme
2023-12-04 22:17:25 +09:00

38 lines
751 B
YAML

base_model: EleutherAI/pythia-1.4b-deduped
load_in_8bit: true
datasets:
- path: teknium/GPT4-LLM-Cleaned
type: alpaca
dataset_prepared_path:
val_set_size: 0.05
adapter: lora
lora_model_dir:
sequence_len: 512
lora_r: 16
lora_alpha: 32
lora_dropout: 0.05
lora_target_modules:
- query_key_value
lora_target_linear:
lora_fan_in_fan_out: true # pythia/GPTNeoX lora specific
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
output_dir: ./lora-alpaca-pythia
gradient_accumulation_steps: 1
micro_batch_size: 4
num_epochs: 4
learning_rate: 0.00001
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
weight_decay: 0.1
eval_steps: 0.05
logging_steps: 1