| --- |
| 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: trainer_output |
| 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-fr-bm-v5/runs/9kkfj7as) |
| # trainer_output |
| |
| 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: 1.9640 |
| - Bleu: 18.5861 |
| |
| ## 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: 3e-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: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 6 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | 2.392 | 1.0 | 2525 | 2.2508 | 13.6779 | |
| | 2.1302 | 2.0 | 5050 | 2.0765 | 17.1351 | |
| | 1.9159 | 3.0 | 7575 | 1.9920 | 17.7167 | |
| | 1.7718 | 4.0 | 10100 | 1.9664 | 18.6164 | |
| | 1.6949 | 5.0 | 12625 | 1.9633 | 18.6201 | |
| | 1.6918 | 6.0 | 15150 | 1.9640 | 18.5861 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.1 |
| - Pytorch 2.8.0+cu126 |
| - Datasets 4.4.2 |
| - Tokenizers 0.22.1 |
|
|
