---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_10_spider_10_wikiSQL
  results: []
---

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# ALL_mt5-base_10_spider_10_wikiSQL

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0241
- Rouge2 Precision: 0.8525
- Rouge2 Recall: 0.5646
- Rouge2 Fmeasure: 0.6434

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.4259        | 1.0   | 875  | 0.1208          | 0.6006           | 0.3892        | 0.4443          |
| 0.1482        | 2.0   | 1750 | 0.0808          | 0.7001           | 0.4721        | 0.5333          |
| 0.1073        | 3.0   | 2625 | 0.0588          | 0.7416           | 0.5007        | 0.5657          |
| 0.0867        | 4.0   | 3500 | 0.0461          | 0.7741           | 0.5208        | 0.5894          |
| 0.0769        | 5.0   | 4375 | 0.0382          | 0.7999           | 0.5351        | 0.6073          |
| 0.0658        | 6.0   | 5250 | 0.0327          | 0.8225           | 0.5465        | 0.6217          |
| 0.0574        | 7.0   | 6125 | 0.0283          | 0.8364           | 0.5546        | 0.6314          |
| 0.0525        | 8.0   | 7000 | 0.0261          | 0.8444           | 0.5593        | 0.6371          |
| 0.0498        | 9.0   | 7875 | 0.0245          | 0.8515           | 0.5643        | 0.6429          |
| 0.0491        | 10.0  | 8750 | 0.0241          | 0.8525           | 0.5646        | 0.6434          |


### Framework versions

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