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--- |
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base_model: facebook/nllb-200-distilled-600M |
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library_name: peft |
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license: cc-by-nc-4.0 |
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metrics: |
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- sacrebleu |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: nllb-peft-2-way-enta |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# nllb-peft-2-way-enta |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.6779 |
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- Sacrebleu: 14.6250 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:| |
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| 6.7496 | 1.0 | 11250 | 6.6810 | 14.3659 | |
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| 6.737 | 2.0 | 22500 | 6.6785 | 14.5979 | |
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| 6.7405 | 3.0 | 33750 | 6.6779 | 14.6250 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
