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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-sql3
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-small-finetuned-sql3
This model is a fine-tuned version of [FYP19/t5-small-finetuned-wikisql](https://huggingface.co/FYP19/t5-small-finetuned-wikisql) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1333
- Rouge2 Precision: 0.5318
- Rouge2 Recall: 0.3371
- Rouge2 Fmeasure: 0.3859
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log | 1.0 | 438 | 0.1740 | 0.455 | 0.2876 | 0.3275 |
| 0.2895 | 2.0 | 876 | 0.1479 | 0.5068 | 0.3184 | 0.3652 |
| 0.1504 | 3.0 | 1314 | 0.1387 | 0.5213 | 0.3234 | 0.373 |
| 0.1275 | 4.0 | 1752 | 0.1349 | 0.5219 | 0.3334 | 0.3796 |
| 0.1158 | 5.0 | 2190 | 0.1333 | 0.5318 | 0.3371 | 0.3859 |
### Framework versions
- Transformers 4.28.0
- Pytorch 1.11.0+cu102
- Datasets 2.12.0
- Tokenizers 0.13.3
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