update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
+  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. -->
+
+# finetuned_HelsinkiNLP-opus-mt-en-vi_PhoMT
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-vi](https://huggingface.co/Helsinki-NLP/opus-mt-en-vi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3069
+- Bleu: 42.4251
+
+## 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: 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|
+| 1.4437        | 1.0   | 186125 | 1.3648          | 40.6353 |
+| 1.3748        | 2.0   | 372250 | 1.3362          | 41.4991 |
+| 1.3182        | 3.0   | 558375 | 1.3224          | 41.9860 |
+| 1.2829        | 4.0   | 744500 | 1.3113          | 42.2649 |
+| 1.2641        | 5.0   | 930625 | 1.3069          | 42.4233 |
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- Pytorch 1.10.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1