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---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_10_spider_15_wikiSQL_new
results: []
---
<!-- 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_10_spider_15_wikiSQL_new
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2575
- Rouge2 Precision: 0.6182
- Rouge2 Recall: 0.4218
- Rouge2 Fmeasure: 0.4725
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.2255 | 1.0 | 1021 | 0.2284 | 0.5416 | 0.3565 | 0.4021 |
| 0.1417 | 2.0 | 2042 | 0.2184 | 0.5668 | 0.3778 | 0.4244 |
| 0.1087 | 3.0 | 3063 | 0.2238 | 0.5823 | 0.3944 | 0.4421 |
| 0.0884 | 4.0 | 4084 | 0.2273 | 0.6072 | 0.4136 | 0.4634 |
| 0.0769 | 5.0 | 5105 | 0.2393 | 0.5998 | 0.4047 | 0.4542 |
| 0.0666 | 6.0 | 6126 | 0.2399 | 0.6073 | 0.4128 | 0.4625 |
| 0.0592 | 7.0 | 7147 | 0.2474 | 0.6081 | 0.4128 | 0.4626 |
| 0.0551 | 8.0 | 8168 | 0.2530 | 0.6145 | 0.4181 | 0.4685 |
| 0.0517 | 9.0 | 9189 | 0.2527 | 0.6168 | 0.4203 | 0.4708 |
| 0.0507 | 10.0 | 10210 | 0.2575 | 0.6182 | 0.4218 | 0.4725 |
### Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
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