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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikisql
model-index:
- name: t5-base-finetuned-wikisql
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. -->
# t5-base-finetuned-wikisql
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the wikisql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0329
- Rouge2 Precision: 0.9361
- Rouge2 Recall: 0.8679
- Rouge2 Fmeasure: 0.8953
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0548 | 1.0 | 4049 | 0.0417 | 0.9235 | 0.8587 | 0.8844 |
| 0.0415 | 2.0 | 8098 | 0.0359 | 0.9322 | 0.8645 | 0.8917 |
| 0.0332 | 3.0 | 12147 | 0.0340 | 0.9344 | 0.8667 | 0.8939 |
| 0.029 | 4.0 | 16196 | 0.0329 | 0.9354 | 0.8676 | 0.8948 |
| 0.0263 | 5.0 | 20245 | 0.0329 | 0.9361 | 0.8679 | 0.8953 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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