base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false

pretraining_dataset:
  - path: augmxnt/shisa-pretrain-en-ja-v1
    type: completion

total_supervised_tokens: true
pretrain_multipack_attn: false
dataset_processes: 32
val_set_size: 0.0
output_dir: ./out
pretrain_multipack_buffer_size: 100000
max_steps: 4702818

sequence_len: 2048
sample_packing: true
pad_to_sequence_len: true
eval_sample_packing: false

adapter:
lora_model_dir:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
lora_fan_in_fan_out:

wandb_project: tiny-llama
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:

gradient_accumulation_steps: 64
micro_batch_size: 1
num_epochs: 1
optimizer: adamw_apex_fused
lr_scheduler: cosine
learning_rate: 5e-5
adam_beta1: 0.9
adam_beta2: 0.95

train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: false

gradient_checkpointing: false
early_stopping_patience:
resume_from_checkpoint:
auto_resume_from_checkpoints:
logging_steps: 1
xformers_attention:
flash_attention: true
flash_attn_cross_entropy: false
flash_attn_rms_norm: true
flash_attn_fuse_qkv: false
flash_attn_fuse_mlp: true

save_total_limit: 15
warmup_steps: 100
evals_per_epoch:
eval_table_size:
save_steps: 250
saves_per_epoch:
debug:
deepspeed: deepspeed_configs/zero1.json
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens: