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ALL_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch
e22vvb/ALL_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch
ALL_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
- Mar 23, 2024
- Updated
- Mar 23, 2024
- SHA
- ae12bf83
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_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: 0.0267
- Rouge2 Precision: 0.8214
- Rouge2 Recall: 0.551
- Rouge2 Fmeasure: 0.6267
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 |
|---|---|---|---|---|---|---|
| 0.3337 | 1.0 | 1293 | 0.1946 | 0.4739 | 0.3026 | 0.3469 |
| 0.1986 | 2.0 | 2586 | 0.1295 | 0.5591 | 0.3707 | 0.4203 |
| 0.1594 | 3.0 | 3879 | 0.0988 | 0.6081 | 0.4048 | 0.4587 |
| 0.1248 | 4.0 | 5172 | 0.0784 | 0.6641 | 0.446 | 0.5058 |
| 0.1085 | 5.0 | 6465 | 0.0639 | 0.6994 | 0.4687 | 0.5318 |
| 0.092 | 6.0 | 7758 | 0.0548 | 0.7211 | 0.4841 | 0.5496 |
| 0.0807 | 7.0 | 9051 | 0.0472 | 0.7398 | 0.4954 | 0.5633 |
| 0.0739 | 8.0 | 10344 | 0.0419 | 0.7611 | 0.5104 | 0.5801 |
| 0.0671 | 9.0 | 11637 | 0.0368 | 0.7779 | 0.5215 | 0.5926 |
| 0.0629 | 10.0 | 12930 | 0.0336 | 0.8019 | 0.5391 | 0.6123 |
| 0.0587 | 11.0 | 14223 | 0.0309 | 0.7974 | 0.5358 | 0.6087 |
| 0.0557 | 12.0 | 15516 | 0.0289 | 0.809 | 0.5446 | 0.6186 |
| 0.0532 | 13.0 | 16809 | 0.0278 | 0.8203 | 0.5502 | 0.6259 |
| 0.051 | 14.0 | 18102 | 0.0270 | 0.8202 | 0.5501 | 0.6258 |
| 0.0504 | 15.0 | 19395 | 0.0267 | 0.8214 | 0.551 | 0.6267 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024