Edit model card

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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy Average Metrics
No log 0.34 100 0.2293 73.2722 73.2722
No log 0.68 200 0.2098 76.7584 76.7584

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.10.2+cu111
  • Datasets 1.17.0
  • Tokenizers 0.12.1
Downloads last month
4
Hosted inference API
This model can be loaded on the Inference API on-demand.