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config_tiny_llama.yaml
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checkpoints:
checkpoint_interval: 1000
checkpoints_path: checkpoints
checkpoints_path_is_shared_file_system: false
resume_checkpoint_path: null
save_initial_state: false
data_stages:
- data:
dataset: null
num_loading_workers: 1
seed: 42
name: Stable Training Stage
start_training_step: 1
general:
benchmark_csv_path: benchmark_llama.csv
consumed_train_samples: null
ignore_sanity_checks: true
project: debug
run: tiny_llama_%date_%jobid
seed: 42
step: null
lighteval: null
logging:
iteration_step_info_interval: 1
log_level: info
log_level_replica: info
model:
ddp_bucket_cap_mb: 25
dtype: bfloat16
init_method:
std: 0.025
make_vocab_size_divisible_by: 1
model_config:
bos_token_id: 1
eos_token_id: 2
hidden_act: silu
hidden_size: 2048
initializer_range: 0.02
intermediate_size: 11008
is_llama_config: true
max_position_embeddings: 128256
num_attention_heads: 16
num_hidden_layers: 28
num_key_value_heads: 2
pad_token_id: null
pretraining_tp: 1
rms_norm_eps: 1.0e-05
rope_scaling: null
tie_word_embeddings: true
use_cache: true
vocab_size: 128256
optimizer:
accumulate_grad_in_fp32: true
clip_grad: 1.0
learning_rate_scheduler:
learning_rate: 0.0003
lr_decay_starting_step: null
lr_decay_steps: 13
lr_decay_style: cosine
lr_warmup_steps: 2
lr_warmup_style: linear
min_decay_lr: 1.0e-05
optimizer_factory:
adam_beta1: 0.9
adam_beta2: 0.95
adam_eps: 1.0e-08
name: adamW
torch_adam_is_fused: true
weight_decay: 0.01
zero_stage: 0
parallelism:
dp: 4
expert_parallel_size: 1
pp: 1
pp_engine: 1f1b
tp: 2
tp_linear_async_communication: true
tp_mode: REDUCE_SCATTER
profiler:
profiler_export_path: ./tb_logs/fix/
tokenizer:
tokenizer_max_length: null
tokenizer_name_or_path: robot-test/dummy-tokenizer-wordlevel
tokenizer_revision: null
tokens:
batch_accumulation_per_replica: 1
limit_test_batches: 0
limit_val_batches: 0
micro_batch_size: 3
sequence_length: 4096
train_steps: 2000
val_check_interval: -1