# Helsinki-NLP/opus-mt-en-vi
- This model is a fine-tune checkpoint of [Helsinki-NLP/opus-mt-en-vi](https://huggingface.co/Helsinki-NLP/opus-mt-en-vi).
- This model reaches BLEU score = 33.086 on the test set of IWSLT'15 English-Vietnamese data.

# Fine-tuning hyper-parameters
- learning_rate = 1e-4
- batch_size = 4
- num_train_epochs = 3.0
{}
transformers pytorch marian text2text-generation autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #marian #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #region-us 

# Helsinki-NLP/opus-mt-en-vi
- This model is a fine-tune checkpoint of Helsinki-NLP/opus-mt-en-vi.
- This model reaches BLEU score = 33.086 on the test set of IWSLT'15 English-Vietnamese data.

# Fine-tuning hyper-parameters
- learning_rate = 1e-4
- batch_size = 4
- num_train_epochs = 3.0
# Helsinki-NLP/opus-mt-en-vi
- This model is a fine-tune checkpoint of Helsinki-NLP/opus-mt-en-vi.
- This model reaches BLEU score = 33.086 on the test set of IWSLT'15 English-Vietnamese data. # Fine-tuning hyper-parameters
- learning_rate = 1e-4
- batch_size = 4
- num_train_epochs = 3.0
TAGS
#transformers #pytorch #marian #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Helsinki-NLP/opus-mt-en-vi
- This model is a fine-tune checkpoint of Helsinki-NLP/opus-mt-en-vi.
- This model reaches BLEU score = 33.086 on the test set of IWSLT'15 English-Vietnamese data. # Fine-tuning hyper-parameters
- learning_rate = 1e-4
- batch_size = 4
- num_train_epochs = 3.0
passage: TAGS
#transformers #pytorch #marian #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Helsinki-NLP/opus-mt-en-vi
- This model is a fine-tune checkpoint of Helsinki-NLP/opus-mt-en-vi.
- This model reaches BLEU score = 33.086 on the test set of IWSLT'15 English-Vietnamese data.# Fine-tuning hyper-parameters
- learning_rate = 1e-4
- batch_size = 4
- num_train_epochs = 3.0