End of training

README.md

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+---
+license: cc-by-nc-4.0
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- mt_eng_vietnamese
+metrics:
+- bleu
+base_model: facebook/nllb-200-1.3B
+model-index:
+- name: my_fine_tuning_nllb_1B3_peft_en_vi_model_nmt
+  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. -->
+
+# my_fine_tuning_nllb_1B3_peft_en_vi_model_nmt
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 7.2576
+- Bleu: 35.9386
+- Gen Len: 30.7029
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 7.8689        | 1.0   | 133318 | 7.2597          | 35.8608 | 30.6438 |
+| 7.8599        | 2.0   | 266636 | 7.2576          | 35.9386 | 30.7029 |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.15.2

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