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ALL_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch
e22vvb/ALL_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch
ALL_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_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
- Jun 19, 2024
- Updated
- Jun 20, 2024
- SHA
- 4f7186db
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_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0235
- Rouge2 Precision: 0.8396
- Rouge2 Recall: 0.5615
- Rouge2 Fmeasure: 0.6396
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: 15
- 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 |
|---|---|---|---|---|---|---|
| 0.3047 | 1.0 | 1293 | 0.1813 | 0.5141 | 0.3387 | 0.3851 |
| 0.1829 | 2.0 | 2586 | 0.1190 | 0.6059 | 0.4059 | 0.4595 |
| 0.1463 | 3.0 | 3879 | 0.0889 | 0.6388 | 0.4276 | 0.4845 |
| 0.116 | 4.0 | 5172 | 0.0708 | 0.6831 | 0.458 | 0.5194 |
| 0.1003 | 5.0 | 6465 | 0.0580 | 0.7161 | 0.485 | 0.5489 |
| 0.0869 | 6.0 | 7758 | 0.0486 | 0.7498 | 0.5046 | 0.5726 |
| 0.0868 | 7.0 | 9051 | 0.0409 | 0.7736 | 0.5227 | 0.5923 |
| 0.0698 | 8.0 | 10344 | 0.0365 | 0.7803 | 0.5251 | 0.5963 |
| 0.0629 | 9.0 | 11637 | 0.0326 | 0.7982 | 0.5368 | 0.6097 |
| 0.06 | 10.0 | 12930 | 0.0298 | 0.8113 | 0.5456 | 0.62 |
| 0.0558 | 11.0 | 14223 | 0.0272 | 0.8219 | 0.5506 | 0.6263 |
| 0.0524 | 12.0 | 15516 | 0.0257 | 0.8257 | 0.5541 | 0.6303 |
| 0.0497 | 13.0 | 16809 | 0.0245 | 0.8308 | 0.5572 | 0.634 |
| 0.049 | 14.0 | 18102 | 0.0238 | 0.8389 | 0.5611 | 0.6391 |
| 0.0479 | 15.0 | 19395 | 0.0235 | 0.8396 | 0.5615 | 0.6396 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- Created
- Jun 19, 2024
- Updated
- Jun 20, 2024