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# opus_mt_zh_en_fine_fune

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-zh-en](https://huggingface.co/Helsinki-NLP/opus-mt-zh-en) on the kde4 dataset.

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "cc-by-4.0", "tags": ["translation", "generated_from_trainer"], "datasets": ["kde4"], "base_model": "Helsinki-NLP/opus-mt-zh-en", "model-index": [{"name": "opus_mt_zh_en_fine_fune", "results": []}]}
transformers tensorboard safetensors marian text2text-generation translation generated_from_trainer dataset:kde4 base_model:Helsinki-NLP/opus-mt-zh-en license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us