---
tags:
- generated_from_trainer
model-index:
- name: ALL_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch
  results: []
---

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# ALL_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0235
- Rouge2 Precision: 0.8396
- Rouge2 Recall: 0.5615
- Rouge2 Fmeasure: 0.6396

## 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.3047        | 1.0   | 1293  | 0.1813          | 0.5141           | 0.3387        | 0.3851          |
| 0.1829        | 2.0   | 2586  | 0.1190          | 0.6059           | 0.4059        | 0.4595          |
| 0.1463        | 3.0   | 3879  | 0.0889          | 0.6388           | 0.4276        | 0.4845          |
| 0.116         | 4.0   | 5172  | 0.0708          | 0.6831           | 0.458         | 0.5194          |
| 0.1003        | 5.0   | 6465  | 0.0580          | 0.7161           | 0.485         | 0.5489          |
| 0.0869        | 6.0   | 7758  | 0.0486          | 0.7498           | 0.5046        | 0.5726          |
| 0.0868        | 7.0   | 9051  | 0.0409          | 0.7736           | 0.5227        | 0.5923          |
| 0.0698        | 8.0   | 10344 | 0.0365          | 0.7803           | 0.5251        | 0.5963          |
| 0.0629        | 9.0   | 11637 | 0.0326          | 0.7982           | 0.5368        | 0.6097          |
| 0.06          | 10.0  | 12930 | 0.0298          | 0.8113           | 0.5456        | 0.62            |
| 0.0558        | 11.0  | 14223 | 0.0272          | 0.8219           | 0.5506        | 0.6263          |
| 0.0524        | 12.0  | 15516 | 0.0257          | 0.8257           | 0.5541        | 0.6303          |
| 0.0497        | 13.0  | 16809 | 0.0245          | 0.8308           | 0.5572        | 0.634           |
| 0.049         | 14.0  | 18102 | 0.0238          | 0.8389           | 0.5611        | 0.6391          |
| 0.0479        | 15.0  | 19395 | 0.0235          | 0.8396           | 0.5615        | 0.6396          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1