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t5-small-finetuned-wikisql-with-cols
gbarone77/t5-small-finetuned-wikisql-with-cols
t5-small-finetuned-wikisql-with-cols is a machine learning model from gbarone77. 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
- Dec 7, 2022
- Updated
- Dec 7, 2022
- SHA
- 954862f5
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-with-cols
This model is a fine-tuned version of t5-small on the wikisql dataset using a (slightly modified) training script by Manuel Romero. It achieves the following results on the evaluation set:
- Loss: 0.0282
- Rouge2 Precision: 0.9172
- Rouge2 Recall: 0.819
- Rouge2 Fmeasure: 0.8578
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 |
|---|---|---|---|---|---|---|
| 0.0557 | 1.0 | 4049 | 0.0384 | 0.9004 | 0.8038 | 0.8417 |
| 0.0438 | 2.0 | 8098 | 0.0323 | 0.9101 | 0.8121 | 0.8507 |
| 0.0374 | 3.0 | 12147 | 0.0298 | 0.914 | 0.8162 | 0.8548 |
| 0.0353 | 4.0 | 16196 | 0.0286 | 0.9169 | 0.8189 | 0.8576 |
| 0.0343 | 5.0 | 20245 | 0.0282 | 0.9172 | 0.819 | 0.8578 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 7, 2022
- Updated
- Dec 7, 2022