opus_mt_en_zh_AIchallenger

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

  • Loss: 1.9379
  • Bleu: 65.1489
  • Meteor: 0.1558
  • Gen Len: 12.4552

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
2.2886 1.0 156250 2.0967 65.1489 0.1576 12.8416
2.1316 2.0 312500 2.0353 65.1489 0.1591 12.7059
2.05 3.0 468750 1.9878 65.1489 0.1612 12.7766
1.9868 4.0 625000 1.9567 65.1489 0.1619 12.7332
1.9345 5.0 781250 1.9379 65.1489 0.1615 12.7575

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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