metadata
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
model-index:
- name: masrawy-english-arabic-translator-clauda-opus-v1
results: []
masrawy-english-arabic-translator-clauda-opus-v1
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: 2.0078
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 2.7664 | 1.0 | 2234 | 2.5507 |
| 2.489 | 2.0 | 4468 | 2.3811 |
| 2.353 | 3.0 | 6702 | 2.2984 |
| 2.2309 | 4.0 | 8936 | 2.2492 |
| 2.1537 | 5.0 | 11170 | 2.0289 |
| 2.0825 | 6.0 | 13404 | 2.0217 |
| 2.0479 | 7.0 | 15638 | 2.0163 |
| 1.9948 | 8.0 | 17872 | 2.0128 |
| 1.9858 | 9.0 | 20106 | 2.0094 |
| 1.9751 | 10.0 | 22340 | 2.0078 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1