opus-mt-ar-en-finetuned-ar-to-en-2
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6977
- Bleu: 0.2309
- Gen Len: 37.4879
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 411 | 1.7424 | 0.2025 | 42.1529 |
| 1.9965 | 2.0 | 822 | 1.6977 | 0.2309 | 37.4879 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0
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Model tree for Raghad-DD/opus-mt-ar-en-finetuned-ar-to-en-2
Base model
Helsinki-NLP/opus-mt-ar-en