base_model: wcde/llama-7b-4bit-gr128 | |
base_model_config: wcde/llama-7b-4bit-gr128 | |
model_type: LlamaForCausalLM | |
tokenizer_type: LlamaTokenizer | |
load_in_8bit: true | |
load_4bit: true | |
datasets: | |
- path: teknium/GPT4-LLM-Cleaned | |
type: alpaca | |
dataset_prepared_path: last_run_prepared | |
val_set_size: 0.02 | |
adapter: lora | |
lora_model_dir: | |
sequence_len: 512 | |
max_packed_sequence_len: | |
lora_r: 16 | |
lora_alpha: 16 | |
lora_dropout: 0.05 | |
lora_target_modules: | |
- gate_proj | |
- down_proj | |
- up_proj | |
- q_proj | |
- v_proj | |
- k_proj | |
- o_proj | |
lora_fan_in_fan_out: | |
wandb_project: lora-experiment | |
wandb_watch: | |
wandb_run_id: | |
wandb_log_model: | |
output_dir: ./lora-experiment | |
batch_size: 128 | |
micro_batch_size: 8 | |
num_epochs: 4 | |
optimizer: adamw_torch | |
torchdistx_path: | |
lr_scheduler: cosine | |
learning_rate: 0.00001 | |
train_on_inputs: false | |
group_by_length: true | |
bf16: true | |
tf32: true | |
gradient_checkpointing: | |
early_stopping_patience: | |
resume_from_checkpoint: | |
local_rank: | |
logging_steps: 1 | |
xformers_attention: true | |
flash_attention: | |
gptq_groupsize: 128 | |
gptq_model_v1: false | |
warmup_steps: 10 | |
eval_steps: 10 | |
save_steps: | |
debug: | |
deepspeed: | |
weight_decay: 0 | |
fsdp: | |
fsdp_config: | |
special_tokens: | |
bos_token: "<s>" | |
eos_token: "</s>" | |
unk_token: "<unk>" | |