---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- web_nlg
base_model: t5-small
model-index:
- name: stog-t5-small
  results: []
---

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

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the web_nlg dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1414

## 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: 0.001
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.12  | 100  | 0.4625          |
| No log        | 0.24  | 200  | 0.3056          |
| No log        | 0.36  | 300  | 0.2393          |
| No log        | 0.48  | 400  | 0.1999          |
| No log        | 0.61  | 500  | 0.1740          |
| No log        | 0.73  | 600  | 0.1562          |
| No log        | 0.85  | 700  | 0.1467          |
| No log        | 0.97  | 800  | 0.1418          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1