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medical_en_zh_8_29

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

  • Loss: 0.6159
  • Bleu: 41.4839
  • Gen Len: 77.4048

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:

  • learning_rate: 0.0004
  • train_batch_size: 8
  • eval_batch_size: 16
  • 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: 10

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.5915 1.02 3000 1.4640 30.8193 76.572
1.2908 2.04 6000 1.2734 32.3053 76.897
1.0814 3.06 9000 1.1348 34.3605 77.2082
0.9083 4.08 12000 1.0246 34.9139 76.7213
0.7507 5.1 15000 0.9336 36.2245 76.6036
0.6046 6.12 18000 0.8291 37.987 77.326
0.4838 7.14 21000 0.7496 38.7572 77.2366
0.3861 8.16 24000 0.6730 40.3566 77.49
0.3203 9.19 27000 0.6159 41.4839 77.4048

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
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