---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-zh
tags:
- generated_from_keras_callback
model-index:
- name: OPUS-en-zh-BEI_DE_3
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# OPUS-en-zh-BEI_DE_3

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:
- Train Loss: 3.4374
- Validation Loss: 3.6565
- Train Bleu: 0.6300
- Train Gen Len: 94.5993
- Epoch: 2

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 3.9844     | 3.7141          | 0.4650     | 93.8384       | 0     |
| 3.6472     | 3.6723          | 0.5867     | 93.3232       | 1     |
| 3.4374     | 3.6565          | 0.6300     | 94.5993       | 2     |


### Framework versions

- Transformers 4.47.1
- TensorFlow 2.18.0
- Datasets 3.2.0
- Tokenizers 0.21.0