---
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch_128
  results: []
---

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# ALL_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch_128

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0225
- Rouge2 Precision: 0.8419
- Rouge2 Recall: 0.5664
- Rouge2 Fmeasure: 0.6439

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.2971        | 1.0   | 1293  | 0.1770          | 0.5043           | 0.3352        | 0.3788          |
| 0.1766        | 2.0   | 2586  | 0.1177          | 0.5844           | 0.3896        | 0.4412          |
| 0.1416        | 3.0   | 3879  | 0.0899          | 0.6329           | 0.4197        | 0.4773          |
| 0.1108        | 4.0   | 5172  | 0.0700          | 0.6794           | 0.4555        | 0.5171          |
| 0.0962        | 5.0   | 6465  | 0.0562          | 0.7204           | 0.4823        | 0.5478          |
| 0.0814        | 6.0   | 7758  | 0.0473          | 0.7503           | 0.5072        | 0.5746          |
| 0.0709        | 7.0   | 9051  | 0.0405          | 0.7655           | 0.5153        | 0.5845          |
| 0.0651        | 8.0   | 10344 | 0.0358          | 0.7863           | 0.5298        | 0.601           |
| 0.0589        | 9.0   | 11637 | 0.0312          | 0.7996           | 0.538         | 0.6108          |
| 0.0553        | 10.0  | 12930 | 0.0288          | 0.8123           | 0.5482        | 0.6218          |
| 0.0515        | 11.0  | 14223 | 0.0262          | 0.8229           | 0.553         | 0.6283          |
| 0.0487        | 12.0  | 15516 | 0.0246          | 0.8247           | 0.555         | 0.6304          |
| 0.0466        | 13.0  | 16809 | 0.0236          | 0.835            | 0.5611        | 0.6377          |
| 0.0445        | 14.0  | 18102 | 0.0227          | 0.8414           | 0.5662        | 0.6435          |
| 0.044         | 15.0  | 19395 | 0.0225          | 0.8419           | 0.5664        | 0.6439          |


### Framework versions

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