---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: t5-small-squad-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-squad-qg

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: 2.1731

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.4623        | 0.37  | 500  | 2.3734          |
| 2.4617        | 0.73  | 1000 | 2.2860          |
| 2.3629        | 1.1   | 1500 | 2.2450          |
| 2.2836        | 1.46  | 2000 | 2.2154          |
| 2.2393        | 1.83  | 2500 | 2.1966          |
| 2.2242        | 2.19  | 3000 | 2.1849          |
| 2.2134        | 2.56  | 3500 | 2.1760          |
| 2.2058        | 2.92  | 4000 | 2.1731          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.13.1
- Tokenizers 0.15.2