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superglue-boolq
ShengdingHu/superglue-boolq
superglue-boolq is a machine learning model from ShengdingHu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 13, 2022
- SHA
- 619a4168
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- May 13, 2022