---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- spider
model-index:
- name: t5-small-finetuned-spider-wo_db
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-small-finetuned-spider-wo_db

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the spider dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7198
- Rouge2 Precision: 0.418
- Rouge2 Recall: 0.2665
- Rouge2 Fmeasure: 0.3074

## 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   | 438  | 0.8903          | 0.3327           | 0.2179        | 0.2435          |
| 1.5339        | 2.0   | 876  | 0.7760          | 0.3853           | 0.2499        | 0.2831          |
| 0.825         | 3.0   | 1314 | 0.7418          | 0.403            | 0.2594        | 0.2963          |
| 0.7137        | 4.0   | 1752 | 0.7250          | 0.4092           | 0.2612        | 0.3011          |
| 0.6653        | 5.0   | 2190 | 0.7198          | 0.418            | 0.2665        | 0.3074          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2