ShengdingHu/superglue-boolq

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superglue-boolq

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2098
• —Accuracy: 76.7584
• —Average Metrics: 76.7584

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: 0.0003
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.10.2+cu111
• —Datasets 1.17.0
• —Tokenizers 0.12.1