| ## Data | |
| JW300 : English-Southern Ndebele | |
| ## Model Architecture | |
| ### Text Preprocessing | |
| - Remove blank/empty rows : 1856(1.78 %) samples | |
| - Removed duplicates from source text : 6335(6.20 %) samples | |
| - Removed duplicates from target text : 410(0.43 %) samples | |
| - Removed all numeric-only text :39(0.04 %) samples | |
| - Removed rows where text is fewer than orequal to 8 characters long from source text: 1653(1.73 %) samples | |
| - Removed rows where text is fewer than orequal to 8 characters long from target text: 133(0.14 %) samples | |
| - Removed rows where text is in test set: 1049(1.12 %) samples | |
| ### BPE Tokenization | |
| - vocab size : 4000 (superior results than 10X) | |
| ### Model Config | |
| - Details in supplied config file but used fewer transformer layers than in default notebook, with more attention heads and lower embedding size | |
| - Trained for 75000 steps | |
| - Took few hours on a single P100 GPU on Google colab over a two days (stopped training saved best model then reloaded that model the next day) | |
| ## Results | |
| > 019-11-28 13:37:38,730 Hello! This is Joey-NMT. | |
| > | |
| >2019-11-28 13:38:08,636 dev bleu: 14.93 [Beam search decoding with beam size = 5 and alpha = 1.0] | |
| > | |
| >2019-11-28 13:39:12,496 test bleu: 4.01 [Beam search decoding with beam size = 5 and alpha = 1.0] | |
| Download model weights from : [here](https://drive.google.com/open?id=1TQ0-QU6HbFNqIGaVmkQSpBJztWOA42O3) | |
| . | |