---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: my_awesome_qa_model
  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. -->

# my_awesome_qa_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3445

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.903         | 1.0   | 500  | 4.2644          |
| 4.0823        | 2.0   | 1000 | 3.0521          |
| 3.1786        | 3.0   | 1500 | 2.2772          |
| 2.58          | 4.0   | 2000 | 1.9238          |
| 2.2254        | 5.0   | 2500 | 1.7344          |
| 2.014         | 6.0   | 3000 | 1.6439          |
| 1.856         | 7.0   | 3500 | 1.5438          |
| 1.7535        | 8.0   | 4000 | 1.4824          |
| 1.6585        | 9.0   | 4500 | 1.4340          |
| 1.6097        | 10.0  | 5000 | 1.4029          |
| 1.5742        | 11.0  | 5500 | 1.3768          |
| 1.5231        | 12.0  | 6000 | 1.3546          |
| 1.4916        | 13.0  | 6500 | 1.3463          |
| 1.4553        | 14.0  | 7000 | 1.3435          |
| 1.4392        | 15.0  | 7500 | 1.3445          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1