metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-distilled-600M-mt-finetuned-zindi-dyu-to-fr
results: []
nllb-200-distilled-600M-mt-finetuned-zindi-dyu-to-fr
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2584
- Bleu: 6.4075
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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 3.1707 | 0.1575 | 20 | 2.7356 | 4.8084 |
| 2.9074 | 0.3150 | 40 | 2.5883 | 5.0141 |
| 2.7168 | 0.4724 | 60 | 2.4902 | 5.5785 |
| 2.6912 | 0.6299 | 80 | 2.4154 | 5.7743 |
| 2.6062 | 0.7874 | 100 | 2.3742 | 6.0010 |
| 2.5794 | 0.9449 | 120 | 2.3480 | 6.1354 |
| 2.4634 | 1.1024 | 140 | 2.3314 | 5.9899 |
| 2.5055 | 1.2598 | 160 | 2.3167 | 6.1080 |
| 2.5062 | 1.4173 | 180 | 2.3032 | 6.3784 |
| 2.4771 | 1.5748 | 200 | 2.2944 | 6.4510 |
| 2.4284 | 1.7323 | 220 | 2.2854 | 6.2883 |
| 2.4423 | 1.8898 | 240 | 2.2783 | 6.5036 |
| 2.3202 | 2.0472 | 260 | 2.2730 | 6.4039 |
| 2.3855 | 2.2047 | 280 | 2.2701 | 6.2921 |
| 2.4292 | 2.3622 | 300 | 2.2658 | 6.3025 |
| 2.3678 | 2.5197 | 320 | 2.2626 | 6.2881 |
| 2.4158 | 2.6772 | 340 | 2.2600 | 6.3684 |
| 2.351 | 2.8346 | 360 | 2.2588 | 6.2852 |
| 2.3755 | 2.9921 | 380 | 2.2584 | 6.2819 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1