---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_10_wikiSQL_sch
  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_10_wikiSQL_sch

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0566
- Rouge2 Precision: 0.8825
- Rouge2 Recall: 0.802
- Rouge2 Fmeasure: 0.8343

## 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: 15
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0789        | 1.0   | 8637  | 0.0678          | 0.859            | 0.7788        | 0.8103          |
| 0.0683        | 2.0   | 17274 | 0.0613          | 0.8688           | 0.7867        | 0.8196          |
| 0.0587        | 3.0   | 25911 | 0.0595          | 0.8726           | 0.7917        | 0.8241          |
| 0.0546        | 4.0   | 34548 | 0.0578          | 0.8771           | 0.7957        | 0.8284          |
| 0.0499        | 5.0   | 43185 | 0.0572          | 0.8793           | 0.7981        | 0.8308          |
| 0.0484        | 6.0   | 51822 | 0.0568          | 0.8797           | 0.7992        | 0.8315          |
| 0.0447        | 7.0   | 60459 | 0.0565          | 0.8809           | 0.8003        | 0.8326          |
| 0.0415        | 8.0   | 69096 | 0.0565          | 0.882            | 0.8013        | 0.8337          |
| 0.042         | 9.0   | 77733 | 0.0564          | 0.8822           | 0.8019        | 0.8341          |
| 0.0407        | 10.0  | 86370 | 0.0566          | 0.8825           | 0.802         | 0.8343          |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3