SmolLMTextGenerator / config_smollm2_135M.yaml
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checkpoints:
checkpoint_interval: 2000
checkpoints_path: checkpoints
checkpoints_path_is_shared_file_system: false
resume_checkpoint_path: null
save_final_state: false
save_initial_state: false
data_stages:
- data:
dataset:
dataset_folder:
- datasets/smollm2-corpus
dataset_weights:
- 1.0
num_loading_workers: 0
seed: 8
name: stable phase
start_training_step: 1
general:
benchmark_csv_path: null
consumed_train_samples: null
ignore_sanity_checks: true
project: smollm2
run: smollm2-135M
seed: 8
step: 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: 0.041666666666666664
make_vocab_size_divisible_by: 1
model_config:
bos_token_id: 0
eos_token_id: 0
hidden_act: silu
hidden_size: 576
initializer_range: 0.041666666666666664
intermediate_size: 1536
is_llama_config: true
max_position_embeddings: 2048
num_attention_heads: 9
num_hidden_layers: 30
num_key_value_heads: 3
pad_token_id: null
pretraining_tp: 1
rms_norm_eps: 1.0e-05
rope_interleaved: false
rope_scaling: null
rope_theta: 10000.0
tie_word_embeddings: true
use_cache: true
vocab_size: 49152
s3_bucket: smollm2-train-jan-25-era3
s3_checkpoint_folder: checkpoints
s3_log_folder: logs
s3_log_file_name: training.log
optimizer:
accumulate_grad_in_fp32: true
clip_grad: 1.0
learning_rate_scheduler:
learning_rate: 0.003
lr_decay_starting_step: 1600000
lr_decay_steps: 400000
lr_decay_style: linear
lr_warmup_steps: 2000
lr_warmup_style: linear
min_decay_lr: 0
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: 64
expert_parallel_size: 1
pp: 1
pp_engine: 1f1b
recompute_layer: false
tp: 1
tp_linear_async_communication: true
tp_mode: REDUCE_SCATTER
tp_recompute_allgather: true
profiler: null
tokenizer:
tokenizer_max_length: null
tokenizer_name_or_path: HuggingFaceTB/cosmo2-tokenizer
tokenizer_revision: null
tokens:
batch_accumulation_per_replica: 1
limit_test_batches: 0
limit_val_batches: 0
micro_batch_size: 16 #16
sequence_length: 1024 #2048
train_steps: 2000000
val_check_interval: 1000