---
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: 0.9005
- Rouge1: 0.4529
- Rouge2: 0.3258
- Rougel: 0.4443
- Rougelsum: 0.4461

## 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   | 1.0750          | 0.4460 | 0.3140 | 0.4356 | 0.4352    |
| No log        | 2.0   | 30   | 1.0304          | 0.4506 | 0.3265 | 0.4404 | 0.4411    |
| No log        | 3.0   | 45   | 0.9959          | 0.4529 | 0.3287 | 0.4438 | 0.4454    |
| No log        | 4.0   | 60   | 0.9662          | 0.4599 | 0.3327 | 0.4487 | 0.4509    |
| No log        | 5.0   | 75   | 0.9446          | 0.4589 | 0.3336 | 0.4498 | 0.4516    |
| No log        | 6.0   | 90   | 0.9272          | 0.4521 | 0.3272 | 0.4424 | 0.4454    |
| No log        | 7.0   | 105  | 0.9151          | 0.4499 | 0.3247 | 0.4413 | 0.4440    |
| No log        | 8.0   | 120  | 0.9071          | 0.4510 | 0.3247 | 0.4424 | 0.4446    |
| No log        | 9.0   | 135  | 0.9022          | 0.4529 | 0.3258 | 0.4443 | 0.4461    |
| No log        | 10.0  | 150  | 0.9005          | 0.4529 | 0.3258 | 0.4443 | 0.4461    |


### Framework versions

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