base_model: huggyllama/llama-13b
base_model_config: huggyllama/llama-13b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
push_dataset_to_hub: openaccess-ai-collective
hf_use_auth_token: true
datasets:
- path: Open-Orca/oo-gpt4-200k
type: alpaca_w_system.load_open_orca
dataset_prepared_path: last_run_prepared
val_set_size: 0.05
adapter:
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
lora_r:
lora_alpha:
lora_dropout:
lora_target_modules:
lora_target_linear:
lora_fan_in_fan_out:
wandb_project: open-orca-13b
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./open-orca-13b
gradient_accumulation_steps: 1
micro_batch_size: 8
num_epochs: 5
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.00005
train_on_inputs: false
group_by_length: true
bf16: true
fp16: false
tf32: true
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 150
eval_steps: 495
save_steps: 2970
debug:
deepspeed:
weight_decay: 0.03
fsdp:
- full_shard
- auto_wrap
fsdp_config:
fsdp_offload_params: true
fsdp_state_dict_type: FULL_STATE_DICT
fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
special_tokens:
bos_token: ""
eos_token: ""
unk_token: ""