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-10
results: []
Bamalingua-10
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: 1.2686
- Bleu: 33.3172
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: 0.0001
- 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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.6029 | 1.0 | 1580 | 1.3671 | 19.8676 |
| 1.133 | 2.0 | 3160 | 1.2158 | 23.8416 |
| 0.83 | 3.0 | 4740 | 1.1721 | 25.9122 |
| 0.6113 | 4.0 | 6320 | 1.1634 | 28.6661 |
| 0.4468 | 5.0 | 7900 | 1.1735 | 31.1171 |
| 0.3295 | 6.0 | 9480 | 1.2041 | 32.4465 |
| 0.2543 | 7.0 | 11060 | 1.2353 | 33.0069 |
| 0.2104 | 8.0 | 12640 | 1.2586 | 33.3333 |
| 0.187 | 9.0 | 14220 | 1.2686 | 33.3172 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1