machine-translation-nar-ru-en-0001¶
Use Case and High-Level Description¶
This is a Russian-English 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.
Specification¶
Metric |
Value |
|---|---|
GOps |
23.17 |
MParams |
69.29 |
Source framework |
PyTorch* |
Accuracy¶
The quality metrics were calculated on the wmt19-ru-en dataset (“test” split in lower case).
Metric |
Value |
|---|---|
BLEU |
22.8 % |
Input¶
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)
Output¶
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)
Legal Information¶
[*] Other names and brands may be claimed as the property of others.