---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
datasets:
- t5_squad
model-index:
- name: t5-simple-qg-hu
  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-simple-qg-hu

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the t5_squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7546

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.2425        | 1.35  | 100  | 2.5868          |
| 2.9755        | 2.71  | 200  | 1.9272          |
| 2.3029        | 4.06  | 300  | 1.7986          |
| 2.176         | 5.42  | 400  | 1.7645          |
| 2.1273        | 6.77  | 500  | 1.7546          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3