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opus-mt-en-ar-evaluated-en-to-ar-4000instances-un_multi-leaningRate2e-05-batchSize8-11-action-1
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the un_multi dataset. It achieves the following results on the evaluation set:
- Loss: 0.1850
- Bleu: 51.7715
- Meteor: 0.5164
- Gen Len: 25.5612
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Gen Len |
|---|---|---|---|---|---|---|
| 0.6999 | 0.25 | 100 | 0.1959 | 50.1492 | 0.508 | 25.2788 |
| 0.1994 | 0.5 | 200 | 0.1931 | 51.003 | 0.513 | 25.4038 |
| 0.1863 | 0.75 | 300 | 0.1864 | 51.3268 | 0.5145 | 25.1675 |
| 0.1826 | 1.0 | 400 | 0.1841 | 51.2507 | 0.513 | 25.2388 |
| 0.1494 | 1.25 | 500 | 0.1840 | 51.4291 | 0.5159 | 25.4225 |
| 0.1483 | 1.5 | 600 | 0.1839 | 51.2645 | 0.5126 | 25.395 |
| 0.1547 | 1.75 | 700 | 0.1837 | 51.7589 | 0.5157 | 25.48 |
| 0.1487 | 2.0 | 800 | 0.1845 | 51.896 | 0.5177 | 25.3988 |
| 0.1235 | 2.25 | 900 | 0.1852 | 52.0583 | 0.5177 | 25.5212 |
| 0.1164 | 2.5 | 1000 | 0.1850 | 51.7715 | 0.5164 | 25.5612 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
