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kaytoo2022/t5_technical_qa_with_react_3

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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kaytoo2022/t5technicalqawithreact_3

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

  • Train Loss: 1.1006
  • Validation Loss: 1.6608
  • Epoch: 19

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learningrate': 2e-05, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weightdecay_rate': 0.01}
  • training_precision: float32

Training results

Train LossValidation LossEpoch
2.58322.25410
2.27012.14891
2.12532.07712
2.02592.02423
1.92821.98474
1.84611.93785
1.77431.90696
1.70291.87967
1.63451.84928
1.58301.82869
1.52271.800210
1.45971.773111
1.41191.755812
1.35771.744013
1.30381.727414
1.27051.708315
1.21881.698116
1.18361.685017
1.14561.673718
1.10061.660819

Framework versions

  • Transformers 4.42.4
  • TensorFlow 2.17.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1