---
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: 0.1089
- Rouge2 Precision: 0.5759
- Rouge2 Recall: 0.2135
- Rouge2 Fmeasure: 0.306

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 79   | 0.3504          | 0.3762           | 0.1435        | 0.2038          |
| No log        | 2.0   | 158  | 0.2444          | 0.4303           | 0.1587        | 0.2278          |
| No log        | 3.0   | 237  | 0.1943          | 0.4982           | 0.1802        | 0.2612          |
| No log        | 4.0   | 316  | 0.1622          | 0.5267           | 0.1882        | 0.2741          |
| No log        | 5.0   | 395  | 0.1423          | 0.5596           | 0.2042        | 0.2946          |
| No log        | 6.0   | 474  | 0.1284          | 0.5718           | 0.2118        | 0.3038          |
| 0.365         | 7.0   | 553  | 0.1199          | 0.574            | 0.2119        | 0.3042          |
| 0.365         | 8.0   | 632  | 0.1139          | 0.5761           | 0.2135        | 0.3059          |
| 0.365         | 9.0   | 711  | 0.1100          | 0.5757           | 0.2134        | 0.3057          |
| 0.365         | 10.0  | 790  | 0.1089          | 0.5759           | 0.2135        | 0.306           |


### Framework versions

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