qwerrwe / configs /gpt_neox_20b.yml
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WIP large refactor to make finetune script a little more manageable (#3)
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base_model: EleutherAI/gpt-neox-20b
base_model_ignore_patterns: pytorch* # prefer safetensors
model_type: GPTNeoXForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: true
datasets:
- path: nomic-ai/gpt4all-j-prompt-generations
type: alpaca
shards: 4
shards_index: 0
dataset_prepared_path: last_run_prepared
val_set_size: 0.05
adapter: lora
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len: 2048
lora_r: 8
lora_alpha: 32
lora_dropout: 0.05
lora_target_modules:
- query_key_value
lora_fan_in_fan_out: true # pythia/GPTNeoX lora specific
wandb_project: gpt4all-neox-20b
wandb_watch:
wandb_run_id:
wandb_log_model: checkpoint
output_dir: ./gpt4all-neox-20b
batch_size: 48
micro_batch_size: 4
num_epochs: 5
learning_rate: 0.00003
lr_scheduler: one_cycle
train_on_inputs: false
group_by_length: false
bf16: True
tf32: True
early_stopping_patience:
resume_from_checkpoint:
local_rank: