---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-zh
tags:
- translation2
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: marian-finetuned-en-to-zh
  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. -->

# marian-finetuned-en-to-zh

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-zh](https://huggingface.co/Helsinki-NLP/opus-mt-en-zh) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1256
- Bleu: 8.9505

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.53.2
- Pytorch 2.7.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2