examples/cerebras/btlm-ft.yml

base_model: cerebras/btlm-3b-8k-base
base_model_config: cerebras/btlm-3b-8k-base
model_type: AutoModelForCausalLM
tokenizer_type: GPT2Tokenizer
trust_remote_code: true
tokenizer_use_fast: true
tokenizer_legacy: true

load_in_8bit: false
load_in_4bit: false
strict: false
push_dataset_to_hub:
hf_use_auth_token: true
datasets:
  - path: mhenrichsen/alpaca_2k_test
    type: alpaca
dataset_prepared_path: last_prepared_run
val_set_size: 0.01

adapter:
lora_model_dir:
sequence_len: 2048
max_packed_sequence_len:
sample_packing: false
sample_packing_eff_est:
sample_packing_seq_len_multiplier:
total_num_tokens:

lora_r:
lora_alpha:
lora_dropout:
lora_target_modules:
lora_target_linear:
lora_fan_in_fan_out:

wandb_project:
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:

output_dir: btlm-out
gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 1
optimizer: adamw_torch
adam_beta2: 0.95
adam_eps: 0.000000001
max_grad_norm: 1.0

torchdistx_path:
lr_scheduler: cosine
lr_quadratic_warmup: true
learning_rate: 0.000085
train_on_inputs: true
group_by_length: false
bf16: true
fp16: false
tf32: true

gradient_checkpointing: false
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1

xformers_attention:
flash_attention: true
sdp_attention:
flash_optimum:

gptq_groupsize:
gptq_model_v1:

warmup_steps: 32
eval_steps:
save_steps:
save_total_limit:

debug:
deepspeed:
weight_decay: 0.1
special_tokens:
  pad_token: "<|endoftext|>"
fsdp:
#  - full_shard
#  - auto_wrap
fsdp_config:
#  fsdp_state_dict_type: FULL_STATE_DICT
#  fsdp_transformer_layer_cls_to_wrap: BTLMBlock