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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-text2sql_v1
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-text2sql_v1
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2037
- Rouge2 Precision: 0.8622
- Rouge2 Recall: 0.3895
- Rouge2 Fmeasure: 0.5158
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log | 1.0 | 11 | 1.0411 | 0.1107 | 0.0324 | 0.0483 |
| No log | 2.0 | 22 | 0.7306 | 0.3176 | 0.132 | 0.1803 |
| No log | 3.0 | 33 | 0.5673 | 0.5279 | 0.243 | 0.3215 |
| No log | 4.0 | 44 | 0.4535 | 0.7171 | 0.3205 | 0.4264 |
| No log | 5.0 | 55 | 0.3911 | 0.7334 | 0.3252 | 0.4335 |
| No log | 6.0 | 66 | 0.3657 | 0.7668 | 0.3432 | 0.4565 |
| No log | 7.0 | 77 | 0.3265 | 0.7596 | 0.333 | 0.4445 |
| No log | 8.0 | 88 | 0.2986 | 0.8095 | 0.3576 | 0.477 |
| No log | 9.0 | 99 | 0.2798 | 0.805 | 0.3624 | 0.4818 |
| No log | 10.0 | 110 | 0.2619 | 0.8206 | 0.3663 | 0.4879 |
| No log | 11.0 | 121 | 0.2454 | 0.8194 | 0.3663 | 0.4878 |
| No log | 12.0 | 132 | 0.2379 | 0.8274 | 0.3706 | 0.493 |
| No log | 13.0 | 143 | 0.2292 | 0.8359 | 0.3768 | 0.5008 |
| No log | 14.0 | 154 | 0.2241 | 0.8707 | 0.3994 | 0.5261 |
| No log | 15.0 | 165 | 0.2208 | 0.8618 | 0.3882 | 0.5142 |
| No log | 16.0 | 176 | 0.2150 | 0.8618 | 0.3882 | 0.5142 |
| No log | 17.0 | 187 | 0.2099 | 0.8618 | 0.3882 | 0.5142 |
| No log | 18.0 | 198 | 0.2068 | 0.8622 | 0.3895 | 0.5158 |
| No log | 19.0 | 209 | 0.2042 | 0.8622 | 0.3895 | 0.5158 |
| No log | 20.0 | 220 | 0.2037 | 0.8622 | 0.3895 | 0.5158 |
### Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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