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mitrabrindaa/opus-mt-en-ro-finetuned-en-to-ro
opus-mt-en-ro-finetuned-en-to-ro is a machine learning model from mitrabrindaa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ro on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.3589 | 1.0 | 3 | 0.9176 | 34.5521 | 37.8 |
| 0.3146 | 2.0 | 6 | 0.9147 | 32.7239 | 37.9 |
| 0.2165 | 3.0 | 9 | 0.9146 | 32.7239 | 37.9 |
| 0.0543 | 4.0 | 12 | 0.9143 | 32.8129 | 38.4 |
| 0.083 | 5.0 | 15 | 0.9143 | 32.8129 | 38.4 |