opus-mt-zh-en-Chinese_to_English

This model is a fine-tuned version of Helsinki-NLP/opus-mt-zh-en.

Model description

For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Machine%20Translation/Chinese%20to%20English%20Translation/Chinese_to_English_Translation.ipynb

Intended uses & limitations

This model is intended to demonstrate my ability to solve a complex problem using technology.

Training and evaluation data

Dataset Source: https://huggingface.co/datasets/GEM/wiki_lingua

Chinese Text Length

English Text Length

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Epoch	Validation Loss	Bleu	Rouge1	Rouge2	RougeL	RougeLsum	Avg. Prediction Lengths
1.0	1.0113	45.2808	0.6201	0.4198	0.5927	0.5927	24.5581

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3