Toki Pona
Collection
Toki Pona translation models
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9 items
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Updated
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ru-en on an unknown dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Bleu |
---|---|---|---|---|
1.9475 | 1.0 | 1167 | 1.7238 | 18.0675 |
1.6448 | 2.0 | 2334 | 1.5780 | 20.8358 |
1.4672 | 3.0 | 3501 | 1.5123 | 22.5640 |
1.3647 | 4.0 | 4668 | 1.4765 | 23.4342 |
1.2831 | 5.0 | 5835 | 1.4523 | 24.3822 |
1.2213 | 6.0 | 7002 | 1.4393 | 24.6540 |
1.1609 | 7.0 | 8169 | 1.4295 | 25.0382 |
1.1231 | 8.0 | 9336 | 1.4235 | 24.8617 |
1.076 | 9.0 | 10503 | 1.4165 | 23.6289 |
1.0489 | 10.0 | 11670 | 1.4162 | 25.8471 |
1.0174 | 11.0 | 12837 | 1.4112 | 25.1640 |
0.9961 | 12.0 | 14004 | 1.4114 | 22.6132 |
0.9735 | 13.0 | 15171 | 1.4110 | 25.1948 |
0.9597 | 14.0 | 16338 | 1.4103 | 23.6949 |
0.9519 | 15.0 | 17505 | 1.4107 | 24.2304 |
Base model
Helsinki-NLP/opus-mt-ru-en