---
license: apache-2.0
base_model: cssupport/t5-small-awesome-text-to-sql
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: Text2SQL-StudentProject-domain
  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. -->

# Text2SQL-StudentProject-domain

This model is a fine-tuned version of [cssupport/t5-small-awesome-text-to-sql](https://huggingface.co/cssupport/t5-small-awesome-text-to-sql) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1285
- Rouge1: 0.4284
- Rouge2: 0.2870
- Rougel: 0.4190
- Rougelsum: 0.4200

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 15   | 1.4839          | 0.4099 | 0.2241 | 0.3759 | 0.3776    |
| No log        | 2.0   | 30   | 1.3820          | 0.4217 | 0.2599 | 0.3999 | 0.4011    |
| No log        | 3.0   | 45   | 1.3091          | 0.4183 | 0.2608 | 0.4043 | 0.4046    |
| No log        | 4.0   | 60   | 1.2522          | 0.4173 | 0.2635 | 0.4045 | 0.4047    |
| No log        | 5.0   | 75   | 1.2117          | 0.4223 | 0.2730 | 0.4108 | 0.4119    |
| No log        | 6.0   | 90   | 1.1793          | 0.4262 | 0.2740 | 0.4131 | 0.4143    |
| No log        | 7.0   | 105  | 1.1566          | 0.4326 | 0.2809 | 0.4198 | 0.4209    |
| No log        | 8.0   | 120  | 1.1413          | 0.4205 | 0.2766 | 0.4122 | 0.4115    |
| No log        | 9.0   | 135  | 1.1318          | 0.4226 | 0.2802 | 0.4142 | 0.4136    |
| No log        | 10.0  | 150  | 1.1285          | 0.4284 | 0.2870 | 0.4190 | 0.4200    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2