50 lines
1.1 KiB
YAML
50 lines
1.1 KiB
YAML
base_model: EleutherAI/pythia-12b-deduped
|
|
base_model_config: EleutherAI/pythia-12b-deduped
|
|
base_model_ignore_patterns: pytorch* # prefer safetensors
|
|
model_type: GPTNeoXForCausalLM
|
|
tokenizer_type: AutoTokenizer
|
|
load_in_8bit: false
|
|
load_in_4bit: false
|
|
gptq: false
|
|
device_map: auto
|
|
datasets:
|
|
- path: vicgalle/alpaca-gpt4
|
|
type: alpaca
|
|
dataset_prepared_path: last_run_prepared
|
|
val_set_size: 0.05
|
|
adapter:
|
|
lora_model_dir:
|
|
sequence_len: 2048
|
|
max_packed_sequence_len: 2048
|
|
lora_r: 64
|
|
lora_alpha: 32
|
|
lora_dropout: 0.0
|
|
lora_target_modules:
|
|
lora_target_linear: true
|
|
lora_fan_in_fan_out: true # pythia/GPTNeoX lora specific
|
|
wandb_project:
|
|
wandb_watch:
|
|
wandb_run_id:
|
|
wandb_log_model:
|
|
output_dir: ./pythia-12b
|
|
gradient_accumulation_steps: 1
|
|
micro_batch_size: 1
|
|
num_epochs: 5
|
|
learning_rate: 0.00003
|
|
optimizer: adamw_bnb_8bit
|
|
lr_scheduler: cosine
|
|
train_on_inputs: false
|
|
group_by_length: false
|
|
bf16: false
|
|
fp16: false
|
|
float16: true
|
|
tf32: true
|
|
flash_optimum: true
|
|
early_stopping_patience:
|
|
resume_from_checkpoint:
|
|
local_rank:
|
|
gradient_checkpointing: true
|
|
fsdp:
|
|
fsdp_config:
|
|
collator_pad_to_longest: true
|