---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- the_squad_qg
model-index:
- name: t5-small-qg
  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-qg

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the the_squad_qg dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1544

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3644        | 2.71  | 100  | 2.3436          |
| 2.4504        | 5.42  | 200  | 2.2140          |
| 2.3501        | 8.14  | 300  | 2.1544          |


### Framework versions

- Transformers 4.27.3
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0