---
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: mt5-base-qaqg-finetuned-TydiQA-id-ir
  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. -->

# mt5-base-qaqg-finetuned-TydiQA-id-ir

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9007
- Rouge1: 0.4926
- Rouge2: 0.3259
- Rougel: 0.4912
- Rougelsum: 0.4911
- Bleu: 0.3015

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 1.6088        | 1.0   | 1141 | 1.0599          | 0.4352 | 0.2720 | 0.4327 | 0.4333    | 0.2659 |
| 1.1827        | 2.0   | 2282 | 0.9369          | 0.4694 | 0.3076 | 0.4678 | 0.4680    | 0.2926 |
| 1.0025        | 3.0   | 3423 | 0.9135          | 0.4860 | 0.3209 | 0.4837 | 0.4844    | 0.2974 |
| 0.8714        | 4.0   | 4564 | 0.9017          | 0.4880 | 0.3204 | 0.4863 | 0.4868    | 0.3041 |
| 0.8084        | 5.0   | 5705 | 0.9007          | 0.4926 | 0.3259 | 0.4912 | 0.4911    | 0.3015 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 2.21.0
- Tokenizers 0.19.1