t5-base_boolq_dense_epochs-1
This model is a fine-tuned version of t5-base on the super_glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.7620
- Accuracy: 0.6154
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 1
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.9.0
- Tokenizers 0.14.1
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Model tree for thrunlab/t5-base_boolq_dense_epochs-1
Base model
google-t5/t5-baseDataset used to train thrunlab/t5-base_boolq_dense_epochs-1
Evaluation results
- Accuracy on super_glueself-reported0.615