base_model: winglian/Llama-2-3b-hf
base_model_config: winglian/Llama-2-3b-hf
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
load_in_4bit: false
hub_model_id: winglian/llama-2-3b-cpt
strict: false
  # pretraining_dataset: togethercomputer/RedPajama-Data-1T-Sample
push_dataset_to_hub:
datasets:
  - path: togethercomputer/RedPajama-Data-1T-Sample
    type: completion
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
adapter:
lora_model_dir:
sequence_len: 4096
sample_packing: 
lora_r:
lora_alpha:
lora_dropout:
lora_target_modules:
lora_target_linear:
lora_fan_in_fan_out:
wandb_project: llama-2-3b-cpt
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./llama-2-3b-out
  # max_steps: 4400
gradient_accumulation_steps: 3
micro_batch_size: 8
num_epochs: 1
optimizer: adamw_torch
adam_beta2: 0.95
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.0001
train_on_inputs: false
group_by_length: false
float16: true
bf16: truc
fp16: false
tf32: true
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
gptq_groupsize:
gptq_model_v1:
warmup_steps: 100
eval_steps: 
save_steps: 100
save_total_limit: 6
debug:
deepspeed:
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens:
  bos_token: "<s>"
  eos_token: "</s>"
  unk_token: "<unk>"