---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-zh
tags:
- generated_from_keras_callback
model-index:
- name: Mauren/OPUS-en-zh-wrongexample
  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. -->

# Mauren/OPUS-en-zh-wrongexample

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: 3.9015
- Validation Loss: 3.9649
- Train Bleu: 0.1014
- Train Gen Len: 37.3882
- 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 |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 4.5333     | 4.0220          | 0.0103     | 102.4         | 0     |
| 4.1235     | 3.9722          | 0.0104     | 102.6824      | 1     |
| 3.9015     | 3.9649          | 0.1014     | 37.3882       | 2     |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.19.2
- Tokenizers 0.19.1