opus-mt-sla-en-finetuned-uk-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-sla-en on the opus100 dataset. It achieves the following results on the evaluation set:
- Loss: 1.7232
- Bleu: 27.7684
- Gen Len: 12.2485
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.5284 | 1.0 | 62500 | 1.7232 | 27.7684 | 12.2485 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1