---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_10_spider_15_wikiSQL
  results: []
---

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# ALL_mt5-base_10_spider_15_wikiSQL

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0233
- Rouge2 Precision: 0.8562
- Rouge2 Recall: 0.5679
- Rouge2 Fmeasure: 0.6471

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.4206        | 1.0   | 875  | 0.1165          | 0.6166           | 0.4044        | 0.4599          |
| 0.1438        | 2.0   | 1750 | 0.0773          | 0.7093           | 0.479         | 0.5408          |
| 0.104         | 3.0   | 2625 | 0.0562          | 0.7512           | 0.5048        | 0.5713          |
| 0.0839        | 4.0   | 3500 | 0.0442          | 0.7839           | 0.527         | 0.5967          |
| 0.0746        | 5.0   | 4375 | 0.0367          | 0.8114           | 0.5424        | 0.616           |
| 0.0641        | 6.0   | 5250 | 0.0313          | 0.8265           | 0.5497        | 0.6255          |
| 0.056         | 7.0   | 6125 | 0.0277          | 0.8402           | 0.5583        | 0.6354          |
| 0.0514        | 8.0   | 7000 | 0.0252          | 0.8509           | 0.5638        | 0.6425          |
| 0.0484        | 9.0   | 7875 | 0.0237          | 0.8544           | 0.567         | 0.6459          |
| 0.0475        | 10.0  | 8750 | 0.0233          | 0.8562           | 0.5679        | 0.6471          |


### Framework versions

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