---
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: 0.0276
- Rouge2 Precision: 0.8193
- Rouge2 Recall: 0.5491
- Rouge2 Fmeasure: 0.6245

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.3496        | 1.0   | 1293  | 0.2017          | 0.4711           | 0.3028        | 0.3466          |
| 0.2041        | 2.0   | 2586  | 0.1328          | 0.5656           | 0.3798        | 0.4292          |
| 0.1637        | 3.0   | 3879  | 0.0987          | 0.6111           | 0.4058        | 0.4602          |
| 0.1294        | 4.0   | 5172  | 0.0791          | 0.6546           | 0.4366        | 0.4953          |
| 0.1124        | 5.0   | 6465  | 0.0658          | 0.6947           | 0.4679        | 0.53            |
| 0.0968        | 6.0   | 7758  | 0.0563          | 0.7264           | 0.4901        | 0.5555          |
| 0.084         | 7.0   | 9051  | 0.0480          | 0.7492           | 0.5063        | 0.5737          |
| 0.0782        | 8.0   | 10344 | 0.0428          | 0.7561           | 0.5075        | 0.5768          |
| 0.0701        | 9.0   | 11637 | 0.0379          | 0.7758           | 0.522         | 0.5928          |
| 0.0669        | 10.0  | 12930 | 0.0350          | 0.7904           | 0.5316        | 0.6039          |
| 0.0623        | 11.0  | 14223 | 0.0318          | 0.8102           | 0.5432        | 0.6175          |
| 0.059         | 12.0  | 15516 | 0.0299          | 0.8047           | 0.5413        | 0.615           |
| 0.0562        | 13.0  | 16809 | 0.0286          | 0.8149           | 0.546         | 0.6214          |
| 0.0548        | 14.0  | 18102 | 0.0279          | 0.8167           | 0.5478        | 0.6229          |
| 0.0538        | 15.0  | 19395 | 0.0276          | 0.8193           | 0.5491        | 0.6245          |


### Framework versions

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