---
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