---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-sql
  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. -->

# flan-t5-base-sql

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2463

## 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-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 36.07         | 0.032 | 100  | 28.3961         |
| 17.6704       | 0.064 | 200  | 7.5753          |
| 5.1571        | 0.096 | 300  | 4.2162          |
| 3.7573        | 0.128 | 400  | 2.9984          |
| 2.7831        | 0.16  | 500  | 1.7788          |
| 2.0308        | 0.192 | 600  | 1.2800          |
| 1.5731        | 0.224 | 700  | 0.9554          |
| 1.2735        | 0.256 | 800  | 0.7648          |
| 1.0347        | 0.288 | 900  | 0.6471          |
| 0.886         | 0.32  | 1000 | 0.5424          |
| 0.757         | 0.352 | 1100 | 0.4848          |
| 0.6731        | 0.384 | 1200 | 0.4293          |
| 0.6222        | 0.416 | 1300 | 0.3904          |
| 0.55          | 0.448 | 1400 | 0.3609          |
| 0.5226        | 0.48  | 1500 | 0.3372          |
| 0.4802        | 0.512 | 1600 | 0.3218          |
| 0.4653        | 0.544 | 1700 | 0.3076          |
| 0.4419        | 0.576 | 1800 | 0.2948          |
| 0.4252        | 0.608 | 1900 | 0.2865          |
| 0.4009        | 0.64  | 2000 | 0.2780          |
| 0.3977        | 0.672 | 2100 | 0.2716          |
| 0.3919        | 0.704 | 2200 | 0.2670          |
| 0.3788        | 0.736 | 2300 | 0.2618          |
| 0.3674        | 0.768 | 2400 | 0.2574          |
| 0.359         | 0.8   | 2500 | 0.2543          |
| 0.3477        | 0.832 | 2600 | 0.2524          |
| 0.3555        | 0.864 | 2700 | 0.2503          |
| 0.3461        | 0.896 | 2800 | 0.2482          |
| 0.3454        | 0.928 | 2900 | 0.2470          |
| 0.3526        | 0.96  | 3000 | 0.2464          |
| 0.3464        | 0.992 | 3100 | 0.2463          |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1.post300
- Datasets 2.21.0
- Tokenizers 0.19.1