base_model: huggyllama/llama-13b
base_model_config: huggyllama/llama-13b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
datasets:
  - path: anon8231489123/ShareGPT_Vicuna_unfiltered
    data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
    type: sharegpt
  - path: ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered
    type: alpaca
  - path: ehartford/wizard_vicuna_70k_unfiltered
    type: sharegpt
dataset_prepared_path: last_run_prepared
val_set_size: 0.02
adapter:
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len: 2048
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
  - q_proj
  - v_proj
lora_fan_in_fan_out: false
wandb_project: wizard-mega-13b
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./wizard-mega-13b
batch_size: 512
micro_batch_size: 8
num_epochs: 3
optimizer:
torchdistx_path:
lr_scheduler:
learning_rate: 0.00006
train_on_inputs: false
group_by_length: false
bf16: true
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: 20
eval_steps: 10
save_steps:
debug:
deepspeed:
weight_decay: 0
fsdp:
  - full_shard
  - auto_wrap
fsdp_config:
  fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
tokens:
  bos_token: "<s>"
  eos_token: "</s>"
  unk_token: "<unk>"