base_model: decapoda-research/llama-7b-hf-int4 | |
base_model_config: decapoda-research/llama-7b-hf | |
model_type: LlamaForCausalLM | |
tokenizer_type: LlamaTokenizer | |
load_in_8bit: true | |
datasets: | |
- path: vicgalle/alpaca-gpt4 | |
type: alpaca | |
dataset_prepared_path: data/last_run_prepared | |
val_set_size: 0.04 | |
adapter: lora | |
lora_model_dir: | |
sequence_len: 2048 | |
max_packed_sequence_len: 1024 | |
lora_r: 8 | |
lora_alpha: 16 | |
lora_dropout: 0.05 | |
lora_target_modules: | |
- q_proj | |
- v_proj | |
# - k_proj | |
# - o_proj | |
lora_fan_in_fan_out: false | |
wandb_project: | |
wandb_watch: | |
wandb_run_id: | |
wandb_log_model: checkpoint | |
output_dir: ./lora-test | |
batch_size: 8 | |
micro_batch_size: 2 | |
num_epochs: 3 | |
learning_rate: 0.00003 | |
train_on_inputs: false | |
group_by_length: false | |
bf16: true | |
tf32: true | |
gradient_checkpointing: false | |
early_stopping_patience: 3 | |
resume_from_checkpoint: | |
local_rank: | |
load_4bit: true | |