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ALL_mt5-base_15_spider_15_wikiSQL_sch
e22vvb/ALL_mt5-base_15_spider_15_wikiSQL_sch
ALL_mt5-base_15_spider_15_wikiSQL_sch 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
- Mar 17, 2024
- Updated
- Mar 17, 2024
- SHA
- 14d52ec6
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_15_spider_15_wikiSQL_sch
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3607
- Rouge2 Precision: 0.6413
- Rouge2 Recall: 0.441
- Rouge2 Fmeasure: 0.4931
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: 19
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.4669 | 1.0 | 912 | 0.7241 | 0.5334 | 0.3544 | 0.3979 |
| 0.1563 | 2.0 | 1824 | 0.5172 | 0.585 | 0.3984 | 0.4457 |
| 0.1078 | 3.0 | 2736 | 0.3991 | 0.5991 | 0.409 | 0.4573 |
| 0.084 | 4.0 | 3648 | 0.3342 | 0.6145 | 0.4193 | 0.4694 |
| 0.0683 | 5.0 | 4560 | 0.3480 | 0.6179 | 0.4245 | 0.4746 |
| 0.0615 | 6.0 | 5472 | 0.3146 | 0.6236 | 0.4279 | 0.4785 |
| 0.0527 | 7.0 | 6384 | 0.3342 | 0.6236 | 0.4266 | 0.4776 |
| 0.0469 | 8.0 | 7296 | 0.3249 | 0.6313 | 0.4325 | 0.4844 |
| 0.0411 | 9.0 | 8208 | 0.3386 | 0.6306 | 0.4305 | 0.4826 |
| 0.0383 | 10.0 | 9120 | 0.3410 | 0.6356 | 0.4375 | 0.4889 |
| 0.0346 | 11.0 | 10032 | 0.3445 | 0.6323 | 0.4353 | 0.4867 |
| 0.0332 | 12.0 | 10944 | 0.3507 | 0.6391 | 0.4397 | 0.4915 |
| 0.0316 | 13.0 | 11856 | 0.3574 | 0.6403 | 0.4407 | 0.4926 |
| 0.0303 | 14.0 | 12768 | 0.3589 | 0.6394 | 0.4398 | 0.4917 |
| 0.0301 | 15.0 | 13680 | 0.3607 | 0.6413 | 0.441 | 0.4931 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- Created
- Mar 17, 2024
- Updated
- Mar 17, 2024