transformers pytorch tensorboard t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-wikisql-with-modified-input
  results: []
---

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# t5-small-finetuned-wikisql-with-modified-input

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0420

## 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: 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1013        | 1.0   | 3523  | 0.0680          |
| 0.0783        | 2.0   | 7046  | 0.0569          |
| 0.0707        | 3.0   | 10569 | 0.0526          |
| 0.0604        | 4.0   | 14092 | 0.0494          |
| 0.0547        | 5.0   | 17615 | 0.0467          |
| 0.0535        | 6.0   | 21138 | 0.0464          |
| 0.05          | 7.0   | 24661 | 0.0442          |
| 0.0482        | 8.0   | 28184 | 0.0440          |
| 0.0449        | 9.0   | 31707 | 0.0431          |
| 0.0438        | 10.0  | 35230 | 0.0425          |
| 0.0441        | 11.0  | 38753 | 0.0424          |
| 0.0422        | 12.0  | 42276 | 0.0425          |
| 0.04          | 13.0  | 45799 | 0.0419          |
| 0.0401        | 14.0  | 49322 | 0.0421          |
| 0.04          | 15.0  | 52845 | 0.0420          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
