|
--- |
|
license: apache-2.0 |
|
base_model: Helsinki-NLP/opus-mt-ar-en |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- bleu |
|
model-index: |
|
- name: darija-latin-to-english-new |
|
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. --> |
|
|
|
# darija-latin-to-english-new |
|
|
|
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0635 |
|
- Bleu: 18.3432 |
|
- Gen Len: 9.0506 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 2 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
|
| 0.046 | 0.24 | 500 | 0.0939 | 4.0335 | 11.1293 | |
|
| 0.0347 | 0.48 | 1000 | 0.0788 | 9.8265 | 10.1861 | |
|
| 0.0279 | 0.72 | 1500 | 0.0725 | 13.178 | 9.6648 | |
|
| 0.0251 | 0.96 | 2000 | 0.0684 | 15.8154 | 9.536 | |
|
| 0.0211 | 1.2 | 2500 | 0.0666 | 17.0063 | 9.3259 | |
|
| 0.0197 | 1.44 | 3000 | 0.0650 | 17.4465 | 9.2086 | |
|
| 0.0199 | 1.68 | 3500 | 0.0639 | 18.3809 | 9.0083 | |
|
| 0.0191 | 1.92 | 4000 | 0.0635 | 18.3432 | 9.0506 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.1.0 |
|
- Tokenizers 0.15.2 |
|
|
