| --- |
| base_model: facebook/nllb-200-distilled-600M |
| library_name: peft |
| license: cc-by-nc-4.0 |
| metrics: |
| - sacrebleu |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: nllb-peft-2-way-enta |
| 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. --> |
|
|
| # nllb-peft-2-way-enta |
|
|
| This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 6.6779 |
| - Sacrebleu: 14.6250 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
| |:-------------:|:-----:|:-----:|:---------------:|:---------:| |
| | 6.7496 | 1.0 | 11250 | 6.6810 | 14.3659 | |
| | 6.737 | 2.0 | 22500 | 6.6785 | 14.5979 | |
| | 6.7405 | 3.0 | 33750 | 6.6779 | 14.6250 | |
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| ### Framework versions |
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|
| - PEFT 0.12.0 |
| - Transformers 4.45.0.dev0 |
| - Pytorch 2.1.1+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
