opus-mt-en-lg-finetuned-en-to-rn
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-lg on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4130
- Bleu: 47.4773
- Gen Len: 19.622
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.4099 | 1.0 | 1253 | 1.7134 | 10.1376 | 15.7984 |
| 1.6698 | 2.0 | 2506 | 1.2572 | 15.7405 | 18.5492 |
| 1.3806 | 3.0 | 3759 | 1.0033 | 20.3491 | 18.6736 |
| 1.1508 | 4.0 | 5012 | 0.8274 | 23.56 | 19.803 |
| 0.9778 | 5.0 | 6265 | 0.6908 | 29.5006 | 19.5093 |
| 0.8506 | 6.0 | 7518 | 0.5899 | 34.3372 | 19.1408 |
| 0.7478 | 7.0 | 8771 | 0.5144 | 39.5014 | 19.2555 |
| 0.6659 | 8.0 | 10024 | 0.4611 | 43.1626 | 19.4385 |
| 0.5909 | 9.0 | 11277 | 0.4253 | 46.0437 | 19.6126 |
| 0.5431 | 10.0 | 12530 | 0.4130 | 47.4773 | 19.622 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Achuka/opus-mt-en-lg-finetuned-en-to-rn
Base model
Helsinki-NLP/opus-mt-en-lg