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raqdo09/singlish-to-english-synthetic

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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Model Card

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singlish-to-english-synthetic

This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.8281
  • —Bleu: 43.2955
  • —Gen Len: 14.68

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: 5.6e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation LossBleuGen Len
No log1.0570.891942.828314.54
No log2.01140.828143.295514.68

Framework versions

  • —Transformers 4.38.0
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.17.1
  • —Tokenizers 0.15.2