| experiment_name: 'runs/transformer_huge' | |
| 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: | |
| d_model: 512 | |
| num_heads: 8 | |
| d_ff: 2048 | |
| dropout_p: 0.15 | |
| num_encoder_layers: 8 | |
| num_decoder_layers: 4 | |
| model_folder: "weights" | |
| model_basename: "transformer_" | |
| preload: 'huge_61' | |
| train: | |
| lr: 0.001 # 1e-2 | |
| batch_size: 32 | |
| num_epochs: 61 | |
| label_smoothing: 0.1 | |
| on_colab: False # are you training on Colab? | |
| patience: 1 | |
| warm_up_steps: 200 |