---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_15_spider_15_wikiSQL_new
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ALL_mt5-base_15_spider_15_wikiSQL_new

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0160
- Rouge2 Precision: 0.9066
- Rouge2 Recall: 0.6077
- Rouge2 Fmeasure: 0.6916

## 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.3243        | 1.0   | 1021  | 0.1423          | 0.6057           | 0.3898        | 0.4466          |
| 0.1428        | 2.0   | 2042  | 0.0864          | 0.7175           | 0.4822        | 0.5453          |
| 0.1071        | 3.0   | 3063  | 0.0644          | 0.7701           | 0.5183        | 0.5867          |
| 0.0845        | 4.0   | 4084  | 0.0517          | 0.798            | 0.5398        | 0.611           |
| 0.0723        | 5.0   | 5105  | 0.0417          | 0.8294           | 0.5584        | 0.6336          |
| 0.0612        | 6.0   | 6126  | 0.0349          | 0.8411           | 0.5623        | 0.6394          |
| 0.0528        | 7.0   | 7147  | 0.0302          | 0.853            | 0.5731        | 0.6514          |
| 0.0475        | 8.0   | 8168  | 0.0254          | 0.8734           | 0.5842        | 0.6649          |
| 0.0427        | 9.0   | 9189  | 0.0227          | 0.8855           | 0.5943        | 0.6757          |
| 0.0398        | 10.0  | 10210 | 0.0208          | 0.8901           | 0.5965        | 0.6787          |
| 0.0362        | 11.0  | 11231 | 0.0190          | 0.8943           | 0.5986        | 0.6815          |
| 0.0343        | 12.0  | 12252 | 0.0178          | 0.9024           | 0.6045        | 0.6882          |
| 0.0329        | 13.0  | 13273 | 0.0170          | 0.9075           | 0.6075        | 0.692           |
| 0.0316        | 14.0  | 14294 | 0.0162          | 0.9081           | 0.6092        | 0.6935          |
| 0.031         | 15.0  | 15315 | 0.0160          | 0.9066           | 0.6077        | 0.6916          |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3