---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_15_spider_10_wikiSQL_sch
  results: []
---

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# ALL_mt5-base_15_spider_10_wikiSQL_sch

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4214
- Rouge2 Precision: 0.5797
- Rouge2 Recall: 0.4033
- Rouge2 Fmeasure: 0.4501

## 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.498         | 1.0   | 912   | 0.3136          | 0.4916           | 0.3236        | 0.366           |
| 0.1561        | 2.0   | 1824  | 0.3188          | 0.541            | 0.3749        | 0.4171          |
| 0.1091        | 3.0   | 2736  | 0.3287          | 0.5457           | 0.3776        | 0.4213          |
| 0.0831        | 4.0   | 3648  | 0.3423          | 0.5544           | 0.3834        | 0.4277          |
| 0.0686        | 5.0   | 4560  | 0.3493          | 0.559            | 0.3831        | 0.4282          |
| 0.0616        | 6.0   | 5472  | 0.3660          | 0.5718           | 0.3992        | 0.4448          |
| 0.0524        | 7.0   | 6384  | 0.3725          | 0.555            | 0.3883        | 0.4322          |
| 0.0469        | 8.0   | 7296  | 0.3804          | 0.5867           | 0.4075        | 0.4551          |
| 0.0416        | 9.0   | 8208  | 0.3889          | 0.5725           | 0.3972        | 0.4432          |
| 0.0382        | 10.0  | 9120  | 0.4028          | 0.575            | 0.3991        | 0.4455          |
| 0.0352        | 11.0  | 10032 | 0.4027          | 0.5754           | 0.3992        | 0.4458          |
| 0.0337        | 12.0  | 10944 | 0.4161          | 0.5769           | 0.4015        | 0.4482          |
| 0.0322        | 13.0  | 11856 | 0.4168          | 0.5803           | 0.4021        | 0.4493          |
| 0.0304        | 14.0  | 12768 | 0.4203          | 0.5783           | 0.4018        | 0.4487          |
| 0.0298        | 15.0  | 13680 | 0.4214          | 0.5797           | 0.4033        | 0.4501          |


### Framework versions

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