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-en-ru 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 |
---|---|---|---|---|
0.8381 | 1.0 | 1167 | 0.6677 | 38.6270 |
0.6401 | 2.0 | 2334 | 0.5611 | 42.8112 |
0.5453 | 3.0 | 3501 | 0.5228 | 44.9041 |
0.5046 | 4.0 | 4668 | 0.4977 | 46.2278 |
0.474 | 5.0 | 5835 | 0.4806 | 47.2086 |
0.4466 | 6.0 | 7002 | 0.4723 | 47.5220 |
0.4274 | 7.0 | 8169 | 0.4662 | 48.3719 |
0.4134 | 8.0 | 9336 | 0.4587 | 48.4629 |
0.3949 | 9.0 | 10503 | 0.4593 | 48.8579 |
0.3864 | 10.0 | 11670 | 0.4537 | 48.6287 |
0.375 | 11.0 | 12837 | 0.4546 | 48.8812 |
0.3692 | 12.0 | 14004 | 0.4522 | 49.1093 |
0.3608 | 13.0 | 15171 | 0.4524 | 49.1794 |
0.3553 | 14.0 | 16338 | 0.4513 | 49.2199 |
0.3533 | 15.0 | 17505 | 0.4518 | 49.2096 |
Base model
Helsinki-NLP/opus-mt-en-ru