opus-mt-ar-en-finetuned-ar-to-en
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: 0.8180
- Bleu: 65.6656
- Gen Len: 60.248
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 348 | 1.2239 | 50.582 | 62.155 |
| 1.5859 | 2.0 | 696 | 1.0136 | 56.9789 | 61.275 |
| 1.0284 | 3.0 | 1044 | 0.9322 | 59.8447 | 61.319 |
| 1.0284 | 4.0 | 1392 | 0.8872 | 61.7622 | 61.239 |
| 0.8538 | 5.0 | 1740 | 0.8595 | 63.1303 | 60.754 |
| 0.7418 | 6.0 | 2088 | 0.8434 | 64.0222 | 60.68 |
| 0.7418 | 7.0 | 2436 | 0.8305 | 64.8723 | 60.275 |
| 0.6897 | 8.0 | 2784 | 0.8222 | 65.4715 | 60.265 |
| 0.6394 | 9.0 | 3132 | 0.8189 | 65.5593 | 60.277 |
| 0.6394 | 10.0 | 3480 | 0.8180 | 65.6656 | 60.248 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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