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NeuraFusionAI/meta-translation-chinese-english-model

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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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
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossBleuGen LenExact Match
No log1.0503.97430.187215.7550.0
No log2.01003.92260.19617.5250.0
No log3.01503.89310.300818.0750.0
No log4.02003.87430.440818.830.0
No log5.02503.86280.398718.830.0
No log6.03003.85460.414618.9050.0
No log7.03503.84980.406918.870.0
No log8.04003.84640.402218.850.0
No log9.04503.84450.443218.8150.0
4.079410.05003.84380.446718.8150.0

Framework versions

  • —Transformers 4.42.4
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1