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rymaju/t5-small-finetuned-en-to-regex

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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Model Card

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t5-small-finetuned-en-to-regex

This model is a fine-tuned version of rymaju/t5-small-finetuned-en-to-regex on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0032
  • —Bleu: 12.1984
  • —Gen Len: 16.7502

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 Len
0.00921.061880.004312.198416.7522
0.00692.0123760.004012.203916.7502
0.00563.0185640.003412.209116.7483
0.00484.0247520.003512.210316.7502
0.00495.0309400.003512.198416.7502
0.00466.0371280.003312.198416.7502
0.00467.0433160.003512.198416.7502
0.00468.0495040.003212.198416.7502
0.00429.0556920.003212.198416.7502
0.004310.0618800.003212.198416.7502

Framework versions

  • —Transformers 4.24.0
  • —Pytorch 1.12.1+cu113
  • —Datasets 2.6.1
  • —Tokenizers 0.13.1