---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_5_spider_15_wikiSQL_new
  results: []
---

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# ALL_mt5-base_5_spider_15_wikiSQL_new

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2299
- Rouge2 Precision: 0.5924
- Rouge2 Recall: 0.4008
- Rouge2 Fmeasure: 0.4493

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.2318        | 1.0   | 1212 | 0.2258          | 0.5422           | 0.3546        | 0.4016          |
| 0.1515        | 2.0   | 2424 | 0.2190          | 0.5676           | 0.3783        | 0.4251          |
| 0.1112        | 3.0   | 3636 | 0.2262          | 0.578            | 0.389         | 0.4362          |
| 0.0951        | 4.0   | 4848 | 0.2304          | 0.5869           | 0.3947        | 0.4431          |
| 0.088         | 5.0   | 6060 | 0.2299          | 0.5924           | 0.4008        | 0.4493          |


### Framework versions

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