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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: 0.0581
- Rouge2 Precision: 0.6546
- Rouge2 Recall: 0.4183
- Rouge2 Fmeasure: 0.4794
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0446 | 1.0 | 5250 | 0.0595 | 0.5997 | 0.3824 | 0.4385 |
| 0.0301 | 2.0 | 10500 | 0.0573 | 0.6439 | 0.4169 | 0.476 |
| 0.0256 | 3.0 | 15750 | 0.0564 | 0.642 | 0.4093 | 0.4695 |
| 0.0222 | 4.0 | 21000 | 0.0581 | 0.6487 | 0.4165 | 0.4769 |
| 0.0218 | 5.0 | 26250 | 0.0581 | 0.6546 | 0.4183 | 0.4794 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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