This is a English-Russian machine translation model based on non-autoregressive Transformer topology.
Tokenization occurs using the SentencePieceBPETokenizer (see the demo code for implementation details) and the enclosed tokenizer_src and tokenizer_tgt folders.
| Metric | Value |
|---|---|
| GOps | 23.17 |
| MParams | 69.29 |
| Source framework | PyTorch* |
The quality metrics were calculated on the wmt19-ru-en dataset ("test" split in lower case).
| Metric | Value |
|---|---|
| BLEU | 21.6 % |
name: tokens
shape: 1, 192
description: sequence of tokens (integer values) representing the tokenized sentence.
The sequence structure is as follows (<s>, </s> and <pad> should be replaced by corresponding token IDs as specified by the dictionary):
<s> + tokenized sentence + </s> + (<pad> tokens to pad to the maximum sequence length of 192)
name: pred
shape: 1, 192
description: sequence of tokens (integer values) representing the tokenized translation.
The sequence structure is as follows (<s>, </s> and <pad> should be replaced by corresponding token IDs as specified by the dictionary):
<s> + tokenized sentence + </s> + (<pad> tokens to pad to the maximum sequence length of 192)
[*] Other names and brands may be claimed as the property of others.