---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_10_spider_15_wikiSQL_new
  results: []
---

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# ALL_mt5-base_10_spider_15_wikiSQL_new

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2575
- Rouge2 Precision: 0.6182
- Rouge2 Recall: 0.4218
- Rouge2 Fmeasure: 0.4725

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.2255        | 1.0   | 1021  | 0.2284          | 0.5416           | 0.3565        | 0.4021          |
| 0.1417        | 2.0   | 2042  | 0.2184          | 0.5668           | 0.3778        | 0.4244          |
| 0.1087        | 3.0   | 3063  | 0.2238          | 0.5823           | 0.3944        | 0.4421          |
| 0.0884        | 4.0   | 4084  | 0.2273          | 0.6072           | 0.4136        | 0.4634          |
| 0.0769        | 5.0   | 5105  | 0.2393          | 0.5998           | 0.4047        | 0.4542          |
| 0.0666        | 6.0   | 6126  | 0.2399          | 0.6073           | 0.4128        | 0.4625          |
| 0.0592        | 7.0   | 7147  | 0.2474          | 0.6081           | 0.4128        | 0.4626          |
| 0.0551        | 8.0   | 8168  | 0.2530          | 0.6145           | 0.4181        | 0.4685          |
| 0.0517        | 9.0   | 9189  | 0.2527          | 0.6168           | 0.4203        | 0.4708          |
| 0.0507        | 10.0  | 10210 | 0.2575          | 0.6182           | 0.4218        | 0.4725          |


### Framework versions

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