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---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_5_spider_15_wikiSQL
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_5_spider_15_wikiSQL
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0535
- Rouge2 Precision: 0.7644
- Rouge2 Recall: 0.5113
- Rouge2 Fmeasure: 0.5798
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.4225 | 1.0 | 875 | 0.1196 | 0.6114 | 0.3983 | 0.4541 |
| 0.1491 | 2.0 | 1750 | 0.0822 | 0.6989 | 0.4688 | 0.5304 |
| 0.1128 | 3.0 | 2625 | 0.0640 | 0.7302 | 0.4905 | 0.5547 |
| 0.0972 | 4.0 | 3500 | 0.0560 | 0.7542 | 0.5066 | 0.5733 |
| 0.0914 | 5.0 | 4375 | 0.0535 | 0.7644 | 0.5113 | 0.5798 |
### Framework versions
- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
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