
# eval

This model is a fine-tuned version of [facebook/mbart-large-cc25 ](https://huggingface.co/facebook/mbart-large-cc25) on IWSLT14 En-Zh dataset.

It achieves the following results on the evaluation set:

- eval_loss: 3.8405
- eval_bleu: 3.5173
- eval_gen_len: 21.5826

It achieves the following results on the test set:

- test_loss: 3.8337
- test_bleu: 3.277
- test_gen_len: 21.6287

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:

- learning_rate: 5e-05
- train_batch_size: 7
- num_epochs: 9

### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
{"language": ["en", "zh"], "metrics": ["sacrebleu"], "pipeline_tag": "translation", "base_model": "facebook/mbart-large-cc25"}
transformers safetensors mbart feature-extraction translation en zh base_model:facebook/mbart-large-cc25 endpoints_compatible region:us