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opus-mt-ar-en-finetuned-src-to-trg-testing
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3973
- Bleu: 0.1939
- Gen Len: 37.6364
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: 3
- mixed_precision_training: Apex, opt level O1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 5 | 3.4353 | 0.1994 | 36.6364 |
| No log | 2.0 | 10 | 3.4015 | 0.1994 | 36.0909 |
| No log | 3.0 | 15 | 3.3973 | 0.1939 | 37.6364 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.5.0
- Datasets 1.17.0
- Tokenizers 0.10.3
