metadata
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-distilled-600M-finetuned_augmented_synthetic_ar-to-en
results: []
pipeline_tag: translation
nllb-200-distilled-600M-finetuned_augmented_synthetic_ar-to-en
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: 0.7501
- Bleu: 62.4193
- Gen Len: 64.586
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: 8
- eval_batch_size: 8
- 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 | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0564 | 1.0 | 2210 | 1.0374 | 45.431 | 65.406 |
| 0.8998 | 2.0 | 4420 | 0.8975 | 52.6173 | 66.014 |
| 0.7972 | 3.0 | 6630 | 0.8399 | 55.9624 | 65.357 |
| 0.7451 | 4.0 | 8840 | 0.8021 | 57.3958 | 65.94 |
| 0.6884 | 5.0 | 11050 | 0.7771 | 59.9589 | 65.367 |
| 0.6742 | 6.0 | 13260 | 0.7648 | 61.0786 | 64.74 |
| 0.6599 | 7.0 | 15470 | 0.7562 | 61.9442 | 64.694 |
| 0.6168 | 8.0 | 17680 | 0.7530 | 62.0067 | 64.965 |
| 0.6234 | 9.0 | 19890 | 0.7502 | 62.0721 | 64.888 |
| 0.5948 | 10.0 | 22100 | 0.7501 | 62.4193 | 64.586 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3