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experiment_name: 'runs/transformer_small'
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: # 16629775 parameters
d_model: 256
num_heads: 8
d_ff: 1024
dropout_p: 0.3
num_encoder_layers: 4
num_decoder_layers: 2
model_folder: "weights"
model_basename: "transformer_"
preload: "small"
train:
lr: 0.0001 # 1e-4
batch_size: 16
num_epochs: 40
label_smoothing: 0.1
on_colab: True # are you training on Colab?
patience: 100 # (steps)
warm_up_steps: 700
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