| 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" | |
| bleu_dataset: 'test2023' | |
| 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 | |