|
--- |
|
license: cc-by-4.0 |
|
base_model: Helsinki-NLP/opus-mt-tc-big-en-ar |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: english-to-darija-2 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# english-to-darija-2 |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8514 |
|
- Bleu: 70.9947 |
|
- Gen Len: 9.092 |
|
|
|
## 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 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
|
| 1.6032 | 1.0 | 4651 | 1.4540 | 25.9364 | 8.9697 | |
|
| 1.1191 | 2.0 | 9302 | 1.0805 | 48.0549 | 9.0661 | |
|
| 0.8048 | 3.0 | 13953 | 0.9419 | 61.3646 | 9.1018 | |
|
| 0.5978 | 4.0 | 18604 | 0.8939 | 65.6846 | 9.1161 | |
|
| 0.477 | 5.0 | 23255 | 0.8623 | 68.0005 | 9.1049 | |
|
| 0.4228 | 6.0 | 27906 | 0.8540 | 69.1959 | 9.1276 | |
|
| 0.3534 | 7.0 | 32557 | 0.8479 | 69.944 | 9.0744 | |
|
| 0.305 | 8.0 | 37208 | 0.8473 | 70.55 | 9.0987 | |
|
| 0.2678 | 9.0 | 41859 | 0.8489 | 70.8065 | 9.1166 | |
|
| 0.243 | 10.0 | 46510 | 0.8514 | 70.9947 | 9.092 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 2.17.0 |
|
- Tokenizers 0.15.1 |
|
|
