transformers safetensors t5 text2text-generation generated_from_trainer base_model:cssupport/t5-small-awesome-text-to-sql license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: cssupport/t5-small-awesome-text-to-sql
tags:
- generated_from_trainer
model-index:
- name: text2sql-finetuned-60M
  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-finetuned-60M

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0054

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 2100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3586        | 0.29  | 150  | 0.1971          |
| 0.1748        | 0.57  | 300  | 0.0731          |
| 0.1453        | 0.86  | 450  | 0.0360          |
| 0.0947        | 1.15  | 600  | 0.0215          |
| 0.0816        | 1.44  | 750  | 0.0145          |
| 0.0635        | 1.72  | 900  | 0.0106          |
| 0.0464        | 2.01  | 1050 | 0.0085          |
| 0.0472        | 2.3   | 1200 | 0.0073          |
| 0.0414        | 2.59  | 1350 | 0.0065          |
| 0.0376        | 2.87  | 1500 | 0.0061          |
| 0.0342        | 3.16  | 1650 | 0.0057          |
| 0.0363        | 3.45  | 1800 | 0.0055          |
| 0.0389        | 3.74  | 1950 | 0.0055          |
| 0.0308        | 4.02  | 2100 | 0.0054          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
