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