base_model: tiiuae/falcon-7b
# optionally might have model_type or tokenizer_type
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
# Automatically upload checkpoint and final model to HF
# hub_model_id: username/custom_model_name

# required by falcon custom model code: https://huggingface.co/tiiuae/falcon-7b/tree/main
trust_remote_code: true
gptq: false
push_dataset_to_hub:
datasets:
  - path: teknium/GPT4-LLM-Cleaned
    type: alpaca:chat
dataset_prepared_path:
val_set_size: 0.05
adapter:
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
lora_r: 64
lora_alpha: 32
lora_dropout: 0.0
lora_target_linear: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
output_dir: ./outputs/falcon-7b
batch_size: 2
micro_batch_size: 1
num_epochs: 4
optimizer: adamw_bnb_8bit
torchdistx_path:
lr_scheduler: cosine
learning_rate: 0.00003
bf16: auto
tf32: true
gradient_checkpointing: true
resume_from_checkpoint:
logging_steps: 1
xformers_attention: true
flash_attention:
gptq_groupsize:
gptq_model_v1:
warmup_steps: 40
evals_per_epoch: 4
saves_per_epoch: 1
weight_decay: 0.0
special_tokens:
  pad_token: "<|endoftext|>"
  bos_token: "<|endoftext|>"
  eos_token: "<|endoftext|>"