---
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
  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

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: 0.8334
- Rouge1: 0.5212
- Rouge2: 0.3529
- Rougel: 0.5187
- Rougelsum: 0.5196
- Bleu: 0.3354

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 1.5538        | 1.0   | 1141 | 0.9977          | 0.4486 | 0.2915 | 0.4465 | 0.4476    | 0.2792 |
| 1.1151        | 2.0   | 2282 | 0.8848          | 0.4774 | 0.3098 | 0.4745 | 0.4753    | 0.3047 |
| 0.9266        | 3.0   | 3423 | 0.8454          | 0.5026 | 0.3348 | 0.5003 | 0.5014    | 0.3183 |
| 0.8067        | 4.0   | 4564 | 0.8357          | 0.5149 | 0.3440 | 0.5127 | 0.5133    | 0.3270 |
| 0.739         | 5.0   | 5705 | 0.8334          | 0.5212 | 0.3529 | 0.5187 | 0.5196    | 0.3354 |


### Framework versions

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