---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_15_spider_15_wikiSQL_sch
  results: []
---

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# ALL_mt5-base_15_spider_15_wikiSQL_sch

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3607
- Rouge2 Precision: 0.6413
- Rouge2 Recall: 0.441
- Rouge2 Fmeasure: 0.4931

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.4669        | 1.0   | 912   | 0.7241          | 0.5334           | 0.3544        | 0.3979          |
| 0.1563        | 2.0   | 1824  | 0.5172          | 0.585            | 0.3984        | 0.4457          |
| 0.1078        | 3.0   | 2736  | 0.3991          | 0.5991           | 0.409         | 0.4573          |
| 0.084         | 4.0   | 3648  | 0.3342          | 0.6145           | 0.4193        | 0.4694          |
| 0.0683        | 5.0   | 4560  | 0.3480          | 0.6179           | 0.4245        | 0.4746          |
| 0.0615        | 6.0   | 5472  | 0.3146          | 0.6236           | 0.4279        | 0.4785          |
| 0.0527        | 7.0   | 6384  | 0.3342          | 0.6236           | 0.4266        | 0.4776          |
| 0.0469        | 8.0   | 7296  | 0.3249          | 0.6313           | 0.4325        | 0.4844          |
| 0.0411        | 9.0   | 8208  | 0.3386          | 0.6306           | 0.4305        | 0.4826          |
| 0.0383        | 10.0  | 9120  | 0.3410          | 0.6356           | 0.4375        | 0.4889          |
| 0.0346        | 11.0  | 10032 | 0.3445          | 0.6323           | 0.4353        | 0.4867          |
| 0.0332        | 12.0  | 10944 | 0.3507          | 0.6391           | 0.4397        | 0.4915          |
| 0.0316        | 13.0  | 11856 | 0.3574          | 0.6403           | 0.4407        | 0.4926          |
| 0.0303        | 14.0  | 12768 | 0.3589          | 0.6394           | 0.4398        | 0.4917          |
| 0.0301        | 15.0  | 13680 | 0.3607          | 0.6413           | 0.441         | 0.4931          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1