|
checkpoints: |
|
checkpoint_interval: 5000 |
|
checkpoints_path: /fsx/phuc/checkpoints/doremi/big-run-02/reference-2.8b-llama-tuned-weights_with_100k_proxy |
|
checkpoints_path_is_shared_file_system: true |
|
resume_checkpoint_path: null |
|
save_initial_state: false |
|
data: |
|
dataset: |
|
dataset_overwrite_cache: false |
|
dataset_processing_num_proc_per_process: 1 |
|
hf_dataset_config_name: null |
|
hf_dataset_or_datasets: /fsx/phuc/project_data/doremi/datasets/the_pile_raw/tokenized_data/train |
|
hf_dataset_splits: train |
|
text_column_name: text |
|
num_loading_workers: 1 |
|
seed: 42 |
|
doremi: |
|
domain_names: |
|
- Pile-CC |
|
- Github |
|
- OpenWebText2 |
|
- StackExchange |
|
- Wikipedia (en) |
|
- PubMed Abstracts |
|
- USPTO Backgrounds |
|
- FreeLaw |
|
- PubMed Central |
|
- Enron Emails |
|
- HackerNews |
|
- NIH ExPorter |
|
- Books3 |
|
- ArXiv |
|
- DM Mathematics |
|
- OpenSubtitles |
|
- Gutenberg (PG-19) |
|
- Ubuntu IRC |
|
- BookCorpus2 |
|
- EuroParl |
|
- YoutubeSubtitles |
|
- PhilPapers |
|
domain_weights: |
|
- 0.2333 |
|
- 0.07 |
|
- 0.1154 |
|
- 0.0528 |
|
- 0.0665 |
|
- 0.067 |
|
- 0.0366 |
|
- 0.0571 |
|
- 0.0451 |
|
- 0.0036 |
|
- 0.0087 |
|
- 0.0078 |
|
- 0.0708 |
|
- 0.0656 |
|
- 0.0034 |
|
- 0.0048 |
|
- 0.0222 |
|
- 0.0084 |
|
- 0.0038 |
|
- 0.0186 |
|
- 0.0149 |
|
- 0.0235 |
|
ref_model_checkpoint_path: null |
|
ref_model_resume_checkpoint_path: null |
|
general: |
|
benchmark_csv_path: null |
|
consumed_train_samples: 35840000 |
|
ignore_sanity_checks: true |
|
project: nanotron |
|
run: train_tuned_2.8b_model |
|
seed: 42 |
|
step: 70000 |
|
logging: |
|
iteration_step_info_interval: 1 |
|
log_level: info |
|
log_level_replica: info |
|
model: |
|
ddp_bucket_cap_mb: 120 |
|
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: 4096 |
|
initializer_range: 0.02 |
|
intermediate_size: 24576 |
|
is_llama_config: true |
|
max_position_embeddings: 1024 |
|
num_attention_heads: 32 |
|
num_hidden_layers: 6 |
|
num_key_value_heads: 16 |
|
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: 49152 |
|
optimizer: |
|
accumulate_grad_in_fp32: true |
|
adam_beta1: 0.9 |
|
adam_beta2: 0.95 |
|
adam_eps: 1.0e-08 |
|
clip_grad: 1.0 |
|
learning_rate_scheduler: |
|
learning_rate: 0.0003 |
|
lr_decay_steps: 8 |
|
lr_decay_style: cosine |
|
lr_warmup_steps: 2 |
|
lr_warmup_style: linear |
|
min_decay_lr: 1.0e-05 |
|
torch_adam_is_fused: true |
|
weight_decay: 0.01 |
|
zero_stage: 0 |
|
parallelism: |
|
dp: 8 |
|
pp: 1 |
|
pp_engine: 1f1b |
|
recompute_granularity: SELECTIVE |
|
tp: 8 |
|
tp_linear_async_communication: true |
|
tp_mode: REDUCE_SCATTER |
|
profiler: null |
|
tokenizer: |
|
tokenizer_max_length: null |
|
tokenizer_name_or_path: gpt2 |
|
tokenizer_revision: null |
|
tokens: |
|
batch_accumulation_per_replica: 1 |
|
limit_test_batches: 0 |
|
limit_val_batches: 8 |
|
micro_batch_size: 64 |
|
sequence_length: 1024 |
|
train_steps: 70000 |
|
val_check_interval: -1 |
|
|