metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: t5-base
model-index:
- name: superglue-boolq
results: []
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