| | --- |
| | library_name: peft |
| | license: cc-by-nc-4.0 |
| | base_model: facebook/nllb-200-3.3B |
| | tags: |
| | - base_model:adapter:facebook/nllb-200-3.3B |
| | - lora |
| | - transformers |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: eng_yor_unidirection |
| | 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. --> |
| |
|
| | # eng_yor_unidirection |
| |
|
| | This model is a fine-tuned version of [facebook/nllb-200-3.3B](https://huggingface.co/facebook/nllb-200-3.3B) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.6342 |
| | - Bleu: 17.1195 |
| | - Gen Len: 46.6583 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 8 |
| | - 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: 5 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
| | | 5.3266 | 1.0 | 3441 | 1.7253 | 15.867 | 46.9732 | |
| | | 2.0388 | 2.0 | 6882 | 1.6761 | 16.4011 | 47.0961 | |
| | | 3.3007 | 3.0 | 10323 | 1.6516 | 16.6914 | 46.9297 | |
| | | 2.1298 | 4.0 | 13764 | 1.6385 | 17.0557 | 46.9065 | |
| | | 2.8537 | 5.0 | 17205 | 1.6342 | 17.1195 | 46.6583 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.18.1 |
| | - Transformers 5.3.0 |
| | - Pytorch 2.10.0+cu128 |
| | - Datasets 4.6.1 |
| | - Tokenizers 0.22.2 |
