metadata
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
model-index:
- name: English-To-EgyptianArabic-Translator
results: []
English-To-EgyptianArabic-Translator
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: 1.8722
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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5425 | 1.0 | 4701 | 1.9165 |
| 1.4814 | 2.0 | 9402 | 1.8411 |
| 1.3308 | 3.0 | 14103 | 1.8098 |
| 1.2401 | 4.0 | 18804 | 1.7975 |
| 1.1253 | 5.0 | 23505 | 1.7835 |
| 1.02 | 6.0 | 28206 | 1.7948 |
| 0.9592 | 7.0 | 32907 | 1.8001 |
| 0.8913 | 8.0 | 37608 | 1.8011 |
| 0.808 | 9.0 | 42309 | 1.8004 |
| 0.7824 | 10.0 | 47010 | 1.8144 |
| 0.7382 | 11.0 | 51711 | 1.8230 |
| 0.6639 | 12.0 | 56412 | 1.8272 |
| 0.6307 | 13.0 | 61113 | 1.8363 |
| 0.6096 | 14.0 | 65814 | 1.8416 |
| 0.5885 | 15.0 | 70515 | 1.8533 |
| 0.549 | 16.0 | 75216 | 1.8609 |
| 0.5113 | 17.0 | 79917 | 1.8633 |
| 0.5041 | 18.0 | 84618 | 1.8700 |
| 0.4829 | 19.0 | 89319 | 1.8681 |
| 0.4847 | 20.0 | 94020 | 1.8722 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.1.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3