homemade_lo_vi / config_big.yaml
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dataset:
src_lang: 'lo'
src_tokenizer: 'BPE'
src_max_seq_len: 400
tgt_lang: 'vi'
tgt_tokenizer: 'WordLevel'
tgt_max_seq_len: 350
train_dataset: 'train_clean.dat'
validate_dataset: 'dev_clean.dat'
tokenizer_file: "tokenizer_{0}.json"
bleu_dataset: 'test2023'
model: # 42688527 parameters
d_model: 512
num_heads: 8
d_ff: 2048
dropout_p: 0.3
num_encoder_layers: 4
num_decoder_layers: 2
model_folder: "weights"
model_basename: "transformer_"
preload: "big"