metadata
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Bamalingua-4
results: []
Bamalingua-4
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: 0.2322
- Bleu: 26.1291
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.332 | 1.0 | 3160 | 0.3005 | 17.7092 |
| 0.2854 | 2.0 | 6320 | 0.2758 | 20.3331 |
| 0.2492 | 3.0 | 9480 | 0.2624 | 21.5687 |
| 0.2248 | 4.0 | 12640 | 0.2531 | 23.2174 |
| 0.2122 | 5.0 | 15800 | 0.2464 | 23.7911 |
| 0.1978 | 6.0 | 18960 | 0.2414 | 24.5054 |
| 0.182 | 7.0 | 22120 | 0.2376 | 24.7621 |
| 0.1804 | 8.0 | 25280 | 0.2353 | 25.5139 |
| 0.168 | 9.0 | 28440 | 0.2343 | 25.7965 |
| 0.1609 | 10.0 | 31600 | 0.2328 | 25.8732 |
| 0.1583 | 11.0 | 34760 | 0.2323 | 26.1820 |
| 0.1603 | 12.0 | 37920 | 0.2322 | 26.1291 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1