Af-En_update
This model is a fine-tuned version of Helsinki-NLP/opus-mt-af-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7197
- Bleu: 55.3346
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.3745 | 1.0 | 2553 | 1.7537 | 51.9270 |
| 1.0462 | 2.0 | 5106 | 1.6305 | 53.9359 |
| 0.896 | 3.0 | 7659 | 1.6216 | 54.3049 |
| 0.7824 | 4.0 | 10212 | 1.6108 | 54.9902 |
| 0.6974 | 5.0 | 12765 | 1.6183 | 55.0265 |
| 0.643 | 6.0 | 15318 | 1.6207 | 55.4137 |
| 0.5635 | 7.0 | 17871 | 1.6276 | 55.1335 |
| 0.5141 | 8.0 | 20424 | 1.6498 | 55.2215 |
| 0.4681 | 9.0 | 22977 | 1.6678 | 55.2000 |
| 0.4304 | 10.0 | 25530 | 1.6797 | 55.2748 |
| 0.425 | 11.0 | 28083 | 1.7004 | 55.0478 |
| 0.398 | 12.0 | 30636 | 1.7013 | 55.3591 |
| 0.3759 | 13.0 | 33189 | 1.7082 | 55.3225 |
| 0.3681 | 14.0 | 35742 | 1.7151 | 55.1793 |
| 0.3571 | 15.0 | 38295 | 1.7197 | 55.2729 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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