|
base_model: huggyllama/llama-65b |
|
model_type: LlamaForCausalLM |
|
tokenizer_type: LlamaTokenizer |
|
load_in_8bit: true |
|
datasets: |
|
- path: data/alpaca_data_gpt4.jsonl |
|
type: alpaca |
|
- path: data/vicuna_cleaned.jsonl |
|
type: sharegpt |
|
- path: data/gpt4-instruct-similarity-0.6-dataset.jsonl |
|
type: gpteacher |
|
- path: data/roleplay-similarity_0.6-instruct-dataset.jsonl |
|
type: gpteacher |
|
val_set_size: 0.04 |
|
adapter: lora |
|
lora_model_dir: |
|
sequence_len: 2048 |
|
lora_r: 8 |
|
lora_alpha: 16 |
|
lora_dropout: 0.05 |
|
lora_target_modules: |
|
- q_proj |
|
- w_proj |
|
lora_fan_in_fan_out: true |
|
wandb_project: llama-65b-lora |
|
wandb_watch: |
|
wandb_run_name: |
|
wandb_log_model: checkpoint |
|
output_dir: ./lora-llama-alpaca |
|
batch_size: 128 |
|
micro_batch_size: 16 |
|
num_epochs: 5 |
|
learning_rate: 0.00003 |
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: true |
|
tf32: true |
|
resume_from_checkpoint: |
|
local_rank: |
|
deepspeed: |
|
|
