CoolFace
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kaytoo2022/t5_technical_qa_082624

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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kaytoo2022/t5technicalqa_082624

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: 1.5907
  • Validation Loss: 1.4118
  • Epoch: 14

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
3.02962.34990
2.54672.13721
2.38702.02022
2.27601.92893
2.16991.85204
2.10141.77995
2.00801.71776
1.94761.66057
1.87031.60728
1.82731.56299
1.75631.523310
1.72631.489611
1.68071.458212
1.63611.432713
1.59071.411814

Framework versions

  • Transformers 4.42.4
  • TensorFlow 2.17.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1