transformers pytorch tensorboard t5 text2text-generation generated_from_trainer dataset:wikisql license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: t5-small-wikisql
  results: []
---

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# t5-small-wikisql

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1248
- Rouge2 Precision: 0.8185
- Rouge2 Recall: 0.7263
- Rouge2 Fmeasure: 0.7626

## 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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.1953        | 1.0   | 4049  | 0.1567          | 0.7952           | 0.7062        | 0.741           |
| 0.1647        | 2.0   | 8098  | 0.1377          | 0.8096           | 0.7182        | 0.7541          |
| 0.1519        | 3.0   | 12147 | 0.1300          | 0.8145           | 0.7233        | 0.7592          |
| 0.1458        | 4.0   | 16196 | 0.1259          | 0.8176           | 0.7261        | 0.762           |
| 0.142         | 5.0   | 20245 | 0.1248          | 0.8185           | 0.7263        | 0.7626          |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
