| | --- |
| | 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: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bamalingua-bamalingua/Bamalingua-4/runs/cwv3gudb) |
| | # Bamalingua-4 |
| |
|
| | This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/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 |
| |
|
