| train: | |
| seed: 1234 | |
| epochs: 300 | |
| batch_size: 8 | |
| gradient_accumulation: 4 | |
| save_every_n_epoch: 1 | |
| precision: 16 | |
| gradient_clip: 1.0 | |
| optimizer: | |
| lr: 0.01 | |
| lr_init: 0.00001 | |
| lr_end: 0.0001 | |
| warmup_steps: 2000 | |
| decay_steps: 40000 | |
| data: | |
| max_eval_sample: 8 | |
| max_sec: 54 | |
| num_workers: 1 | |
| pad_val: 1024 # same with EOS in model | |
| model: | |
| vocab_size: 1025 | |
| phoneme_vocab_size: 512 | |
| embedding_dim: 512 | |
| hidden_dim: 512 | |
| head: 16 | |
| linear_units: 2048 | |
| n_layer: 12 | |
| dropout: 0 | |
| EOS: 1024 | |
| inference: | |
| top_k: 5 | |