en-ar-model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1630
- Bleu: 49.2887
- Gen Len: 28.6434
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.1741 | 1.0 | 1250 | 0.1632 | 49.2836 | 28.626 |
| 0.1551 | 2.0 | 2500 | 0.1630 | 49.3258 | 28.6074 |
| 0.144 | 3.0 | 3750 | 0.1630 | 49.2887 | 28.6434 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for BoghdadyJR/en-ar-model
Base model
Helsinki-NLP/opus-mt-en-ar