---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-acbsql
  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-small-finetuned-acbsql

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2372
- Rouge2 Precision: 0.4316
- Rouge2 Recall: 0.1587
- Rouge2 Fmeasure: 0.2284

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 80   | 0.8580          | 0.0363           | 0.0134        | 0.0184          |
| No log        | 2.0   | 160  | 0.3950          | 0.3302           | 0.1213        | 0.1741          |
| No log        | 3.0   | 240  | 0.2827          | 0.4003           | 0.1499        | 0.2143          |
| No log        | 4.0   | 320  | 0.2479          | 0.4308           | 0.1593        | 0.229           |
| No log        | 5.0   | 400  | 0.2372          | 0.4316           | 0.1587        | 0.2284          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3