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opus-mt-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize8-11epoch-3
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the opus100 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1421
- Bleu: 21.3028
- Meteor: 0.1285
- Gen Len: 9.975
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Gen Len |
|---|---|---|---|---|---|---|
| 1.0508 | 1.0 | 100 | 0.1413 | 27.9009 | 0.1416 | 8.85 |
| 0.1253 | 2.0 | 200 | 0.1372 | 23.11 | 0.1345 | 9.855 |
| 0.1017 | 3.0 | 300 | 0.1390 | 21.7885 | 0.1364 | 9.97 |
| 0.0868 | 4.0 | 400 | 0.1378 | 21.3889 | 0.1314 | 9.835 |
| 0.0754 | 5.0 | 500 | 0.1398 | 22.198 | 0.132 | 9.675 |
| 0.0667 | 6.0 | 600 | 0.1396 | 20.8645 | 0.1308 | 10.055 |
| 0.0604 | 7.0 | 700 | 0.1408 | 20.289 | 0.1303 | 10.53 |
| 0.0553 | 8.0 | 800 | 0.1414 | 21.7023 | 0.1293 | 10.005 |
| 0.0518 | 9.0 | 900 | 0.1421 | 21.3028 | 0.1285 | 9.975 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
