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--- |
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license: cc-by-nc-4.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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datasets: |
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- mt_eng_vietnamese |
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metrics: |
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- bleu |
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base_model: facebook/nllb-200-1.3B |
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model-index: |
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- name: my_fine_tuning_nllb_1B3_peft_en_vi_model_nmt |
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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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# my_fine_tuning_nllb_1B3_peft_en_vi_model_nmt |
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This model is a fine-tuned version of [facebook/nllb-200-1.3B](https://huggingface.co/facebook/nllb-200-1.3B) on the mt_eng_vietnamese dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.2576 |
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- Bleu: 35.9386 |
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- Gen Len: 30.7029 |
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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: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 2 |
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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 | Bleu | Gen Len | |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:| |
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| 7.8689 | 1.0 | 133318 | 7.2597 | 35.8608 | 30.6438 | |
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| 7.8599 | 2.0 | 266636 | 7.2576 | 35.9386 | 30.7029 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.15.2 |
