File size: 1,673 Bytes
485ae0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | extends: configs/base.yaml
phase: phase2
data:
ndl_metadata_dir: data/raw/ndl/metadata
ndl_metadata_glob: data/raw/ndl/metadata/books_*.zip
ndl_metadata_urls:
- https://dl.ndl.go.jp/static/files/dataset/dataset_202602_t_internet_01.zip
- https://dl.ndl.go.jp/static/files/dataset/dataset_202602_t_internet_02.zip
- https://dl.ndl.go.jp/static/files/dataset/dataset_202602_t_internet_03.zip
- https://dl.ndl.go.jp/static/files/dataset/dataset_202602_t_internet_04.zip
- https://dl.ndl.go.jp/static/files/dataset/dataset_202602_t_internet_05.zip
ndl_selection_manifest: data/processed/ndl/selection.jsonl
ndl_download_manifest: data/processed/ndl/downloads.jsonl
ndl_raw_dir: data/raw/ndl/books
ndl_clean_dir: data/clean/ndl
ndl_clean_manifest: data/processed/ndl/clean.jsonl
split_manifest: data/processed/phase2/splits.jsonl
ndl_max_abnormal_ngram_rate: 0.38
ndl_max_latin_rate: 0.005
tokenizer:
directory: artifacts/phase2/tokenizer
tokenized:
directory: data/processed/phase2/tokenized
model:
# 16 layers compensate for the much smaller Japanese vocabulary embedding;
# 12 layers with an 8k vocabulary would only be about 91M parameters.
n_layer: 16
n_head: 12
n_embd: 768
block_size: 1024
dropout: 0.0
training:
device: cuda
dtype: bfloat16
batch_size: 4
gradient_accumulation_steps: 32
max_iters: 1600
learning_rate: 0.0006
min_lr: 0.00006
warmup_iters: 100
lr_decay_iters: 1600
eval_interval: 100
eval_iters: 50
checkpoint_interval: 100
grad_clip: 1.0
out_dir: artifacts/phase2
budget:
minimum_train_tokens: 200000000
maximum_hours: 20
maximum_usd: 6
gpu_hourly_usd: 0.27
|