metadata
base_model: Helsinki-NLP/opus-mt-en-ar
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Finetuning_mt-en-ar_English_Arabic_Translation
results: []
Finetuning_mt-en-ar_English_Arabic_Translation
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ar on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1618
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3063 | 1.0 | 2000 | 0.2406 |
| 0.2338 | 2.0 | 4000 | 0.2032 |
| 0.2047 | 3.0 | 6000 | 0.1842 |
| 0.1698 | 4.0 | 8000 | 0.1738 |
| 0.1586 | 5.0 | 10000 | 0.1690 |
| 0.1394 | 6.0 | 12000 | 0.1664 |
| 0.1307 | 7.0 | 14000 | 0.1636 |
| 0.1229 | 8.0 | 16000 | 0.1627 |
| 0.1176 | 9.0 | 18000 | 0.1611 |
| 0.1094 | 10.0 | 20000 | 0.1608 |
| 0.1007 | 11.0 | 22000 | 0.1600 |
| 0.0959 | 12.0 | 24000 | 0.1610 |
| 0.0955 | 13.0 | 26000 | 0.1609 |
| 0.0942 | 14.0 | 28000 | 0.1618 |
| 0.0904 | 15.0 | 30000 | 0.1618 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1