---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: EN_t5-base_5_wikiSQL_sch
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# EN_t5-base_5_wikiSQL_sch

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0120
- Rouge2 Precision: 0.9364
- Rouge2 Recall: 0.8382
- Rouge2 Fmeasure: 0.8771

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.0199        | 1.0   | 4049  | 0.0150          | 0.9263           | 0.8311        | 0.8685          |
| 0.015         | 2.0   | 8098  | 0.0131          | 0.9338           | 0.8353        | 0.8743          |
| 0.0128        | 3.0   | 12147 | 0.0123          | 0.9353           | 0.8366        | 0.8758          |
| 0.011         | 4.0   | 16196 | 0.0121          | 0.9358           | 0.8381        | 0.8768          |
| 0.0098        | 5.0   | 20245 | 0.0120          | 0.9364           | 0.8382        | 0.8771          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.16.1
- Tokenizers 0.15.1