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t5-small-finetuned-wikisql
FYP19/t5-small-finetuned-wikisql
t5-small-finetuned-wikisql is a machine learning model from FYP19. 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
- Feb 24, 2023
- Updated
- Feb 24, 2023
- SHA
- d32f040d
Datasets
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. -->
t5-small-finetuned-wikisql
This model is a fine-tuned version of t5-small on the wikisql dataset. It achieves the following results on the evaluation set:
- Loss: 0.1245
- Rouge2 Precision: 0.8183
- Rouge2 Recall: 0.7262
- Rouge2 Fmeasure: 0.7624
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.1954 | 1.0 | 4049 | 0.1575 | 0.7934 | 0.7033 | 0.7386 |
| 0.1643 | 2.0 | 8098 | 0.1374 | 0.8083 | 0.7169 | 0.7528 |
| 0.1517 | 3.0 | 12147 | 0.1296 | 0.8135 | 0.7222 | 0.7581 |
| 0.1459 | 4.0 | 16196 | 0.1256 | 0.817 | 0.7254 | 0.7614 |
| 0.1414 | 5.0 | 20245 | 0.1245 | 0.8183 | 0.7262 | 0.7624 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Feb 24, 2023
- Updated
- Feb 24, 2023