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ALL_mt5-base_5_spider_15_wikiSQL_new
e22vvb/ALL_mt5-base_5_spider_15_wikiSQL_new
ALL_mt5-base_5_spider_15_wikiSQL_new is a machine learning model from e22vvb. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024
- SHA
- f36f5f0e
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. -->
ALL_mt5-base_5_spider_15_wikiSQL_new
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2299
- Rouge2 Precision: 0.5924
- Rouge2 Recall: 0.4008
- Rouge2 Fmeasure: 0.4493
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 |
|---|---|---|---|---|---|---|
| 0.2318 | 1.0 | 1212 | 0.2258 | 0.5422 | 0.3546 | 0.4016 |
| 0.1515 | 2.0 | 2424 | 0.2190 | 0.5676 | 0.3783 | 0.4251 |
| 0.1112 | 3.0 | 3636 | 0.2262 | 0.578 | 0.389 | 0.4362 |
| 0.0951 | 4.0 | 4848 | 0.2304 | 0.5869 | 0.3947 | 0.4431 |
| 0.088 | 5.0 | 6060 | 0.2299 | 0.5924 | 0.4008 | 0.4493 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024