metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-ar-en-finetuned_augmented_backMT_cleaned-ar-to-en
results: []
pipeline_tag: translation
opus-mt-ar-en-finetuned_augmented_backMT_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: 1.1873
- Bleu: 54.6502
- Gen Len: 34.938
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 |
|---|---|---|---|---|---|
| 1.5555 | 1.0 | 1035 | 1.3848 | 45.7987 | 36.194 |
| 1.2715 | 2.0 | 2070 | 1.2807 | 49.7556 | 35.83 |
| 1.1156 | 3.0 | 3105 | 1.2299 | 51.7879 | 35.469 |
| 1.0079 | 4.0 | 4140 | 1.2140 | 52.4265 | 35.021 |
| 0.9166 | 5.0 | 5175 | 1.1957 | 53.4598 | 35.017 |
| 0.859 | 6.0 | 6210 | 1.1920 | 54.1821 | 35.077 |
| 0.8268 | 7.0 | 7245 | 1.1891 | 54.419 | 35.022 |
| 0.7777 | 8.0 | 8280 | 1.1863 | 54.4714 | 34.907 |
| 0.7522 | 9.0 | 9315 | 1.1867 | 54.537 | 34.906 |
| 0.7441 | 10.0 | 10350 | 1.1873 | 54.6502 | 34.938 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3