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kaytoo2022/t5_technical_qa_codet5_tokenizer

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

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kaytoo2022/t5technicalqacodet5tokenizer

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: 0.6959
  • —Validation Loss: 2.6033
  • —Epoch: 9

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': 0.0002, '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
3.90333.41150
3.15303.06681
2.65612.80182
2.20842.66033
1.82532.55584
1.50262.44795
1.23872.41646
1.02282.53127
0.83222.53538
0.69592.60339

Framework versions

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