nllb_600m-en-swh-drL-24_5-filtered-v24_28_2
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4517
- Bleu Eng Latn-swh Latn: 75.6335
- Bleu Swh Latn-eng Latn: 61.5722
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Eng Latn-swh Latn | Bleu Swh Latn-eng Latn |
|---|---|---|---|---|---|
| 0.5402 | 1.0 | 2439 | 0.4881 | 71.3066 | 59.7916 |
| 0.4466 | 2.0 | 4878 | 0.4628 | 73.6631 | 60.7412 |
| 0.3875 | 3.0 | 7317 | 0.4529 | 74.8640 | 61.0596 |
| 0.3515 | 4.0 | 9756 | 0.4503 | 75.3634 | 61.4414 |
| 0.3254 | 5.0 | 12195 | 0.4517 | 75.6335 | 61.5722 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1
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Model tree for mutisya/nllb_600m-en-swh-drL-24_5-filtered-v24_28_2
Base model
facebook/nllb-200-distilled-600M