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_MTbak_cleaned_ar-to-en
results: []
nllb-200-distilled-600M-finetuned_augmented_MTbak_cleaned_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: 0.9003
- Bleu: 54.3021
- Gen Len: 39.3817
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 |
|---|---|---|---|---|---|
| 1.1718 | 1.0 | 2071 | 1.0140 | 46.727 | 39.6324 |
| 1.0097 | 2.0 | 4142 | 0.9450 | 50.6721 | 39.8258 |
| 0.8944 | 3.0 | 6213 | 0.9171 | 51.0894 | 39.9446 |
| 0.8192 | 4.0 | 8284 | 0.9010 | 52.8059 | 39.3494 |
| 0.7689 | 5.0 | 10355 | 0.8980 | 53.1204 | 39.5579 |
| 0.7511 | 6.0 | 12426 | 0.8946 | 53.5769 | 39.4814 |
| 0.685 | 7.0 | 14497 | 0.8968 | 53.8032 | 39.6365 |
| 0.6849 | 8.0 | 16568 | 0.8987 | 54.3402 | 39.5227 |
| 0.6548 | 9.0 | 18639 | 0.8992 | 54.4944 | 39.5619 |
| 0.6429 | 10.0 | 20710 | 0.9003 | 54.3021 | 39.3817 |
Framework versions
- Transformers 4.33.0
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3