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meta-translation-chinese-english-model

This model is a fine-tuned version of t5-small on the flores dataset. It achieves the following results on the evaluation set:

  • Loss: 3.8438
  • Bleu: 0.4467
  • Gen Len: 18.815
  • Exact Match: 0.0

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len Exact Match
No log 1.0 50 3.9743 0.1872 15.755 0.0
No log 2.0 100 3.9226 0.196 17.525 0.0
No log 3.0 150 3.8931 0.3008 18.075 0.0
No log 4.0 200 3.8743 0.4408 18.83 0.0
No log 5.0 250 3.8628 0.3987 18.83 0.0
No log 6.0 300 3.8546 0.4146 18.905 0.0
No log 7.0 350 3.8498 0.4069 18.87 0.0
No log 8.0 400 3.8464 0.4022 18.85 0.0
No log 9.0 450 3.8445 0.4432 18.815 0.0
4.0794 10.0 500 3.8438 0.4467 18.815 0.0

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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google-t5/t5-small
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Dataset used to train NeuraFusionAI/meta-translation-chinese-english-model

Evaluation results