---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: sql-training-1721369602
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# sql-training-1721369602

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0133

## 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: 0.005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.0781        | 0.0674 | 500   | 0.0555          |
| 0.0478        | 0.1348 | 1000  | 0.0365          |
| 0.0405        | 0.2022 | 1500  | 0.0304          |
| 0.0357        | 0.2696 | 2000  | 0.0273          |
| 0.0288        | 0.3370 | 2500  | 0.0239          |
| 0.0298        | 0.4044 | 3000  | 0.0223          |
| 0.0325        | 0.4718 | 3500  | 0.0208          |
| 0.0258        | 0.5392 | 4000  | 0.0193          |
| 0.027         | 0.6066 | 4500  | 0.0186          |
| 0.0232        | 0.6739 | 5000  | 0.0176          |
| 0.0229        | 0.7413 | 5500  | 0.0168          |
| 0.022         | 0.8087 | 6000  | 0.0164          |
| 0.026         | 0.8761 | 6500  | 0.0159          |
| 0.0249        | 0.9435 | 7000  | 0.0153          |
| 0.0158        | 1.0109 | 7500  | 0.0149          |
| 0.0196        | 1.0783 | 8000  | 0.0147          |
| 0.0196        | 1.1457 | 8500  | 0.0144          |
| 0.0173        | 1.2131 | 9000  | 0.0142          |
| 0.0129        | 1.2805 | 9500  | 0.0142          |
| 0.0219        | 1.3479 | 10000 | 0.0138          |
| 0.0211        | 1.4153 | 10500 | 0.0137          |
| 0.0167        | 1.4827 | 11000 | 0.0136          |
| 0.0154        | 1.5501 | 11500 | 0.0135          |
| 0.0159        | 1.6175 | 12000 | 0.0134          |
| 0.0166        | 1.6849 | 12500 | 0.0134          |
| 0.0172        | 1.7523 | 13000 | 0.0134          |
| 0.0187        | 1.8197 | 13500 | 0.0133          |
| 0.0156        | 1.8870 | 14000 | 0.0133          |
| 0.0143        | 1.9544 | 14500 | 0.0133          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1