opus_mt_zh_en_AIchallenger – AI Model by rickltt | AlphaNeural AI

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opus_mt_zh_en_AIchallenger

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text2text-generation

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Helsinki-NLP/opus-mt-zh-en

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opus_mt_zh_en_AIchallenger

This model is a fine-tuned version of opus-mt-zh-en on an AIChallenger2017 dataset. It achieves the following results on the evaluation set:

Loss: 1.4557
Bleu: 27.0414
Meteor: 0.5451
Gen Len: 15.2255

Model description

More information needed

Intended uses & limitations

This model is used to run the translation model on the client side.

Training and evaluation data

Dataset Source: https://tianchi.aliyun.com/dataset/174937

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 2024
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Meteor	Gen Len
1.6733	1.0	156250	1.5656	25.9104	0.5364	15.4366
1.6415	2.0	312500	1.5193	26.7033	0.5449	15.6291
1.5831	3.0	468750	1.4901	27.2345	0.5479	15.5704
1.5352	4.0	625000	1.4695	27.7312	0.5521	15.528
1.4946	5.0	781250	1.4557	27.9356	0.5543	15.548

Framework versions

Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1