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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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+
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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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+
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+ # my_fine_tuning_nllb_1B3_peft_en_vi_model_nmt
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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