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opus-mt-ar-en-finetuned_augmented_synthetic_cleaned-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: 0.6421
- Bleu: 64.9533
- Gen Len: 66.193
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 |
|---|---|---|---|---|---|
| 0.9547 | 1.0 | 1043 | 0.8017 | 56.8271 | 68.803 |
| 0.7598 | 2.0 | 2086 | 0.7281 | 60.44 | 67.238 |
| 0.672 | 3.0 | 3129 | 0.6984 | 62.5171 | 66.992 |
| 0.6063 | 4.0 | 4172 | 0.6737 | 63.4355 | 66.075 |
| 0.5641 | 5.0 | 5215 | 0.6607 | 64.2124 | 66.145 |
| 0.5188 | 6.0 | 6258 | 0.6537 | 64.5988 | 66.547 |
| 0.4934 | 7.0 | 7301 | 0.6467 | 64.7664 | 66.528 |
| 0.4858 | 8.0 | 8344 | 0.6458 | 64.756 | 66.225 |
| 0.468 | 9.0 | 9387 | 0.6427 | 64.9386 | 66.086 |
| 0.4474 | 10.0 | 10430 | 0.6421 | 64.9533 | 66.193 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
