---
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-sentence
  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-sentence

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: 0.9982
- Rouge1: 0.4799
- Rouge2: 0.3113
- Rougel: 0.4778
- Rougelsum: 0.4778
- Bleu: 0.2994

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 1.7487        | 1.0   | 1211 | 1.1641          | 0.4047 | 0.2424 | 0.4030 | 0.4030    | 0.2102 |
| 1.2998        | 2.0   | 2422 | 1.0454          | 0.4615 | 0.2952 | 0.4598 | 0.4594    | 0.2809 |
| 1.042         | 3.0   | 3633 | 1.0082          | 0.4701 | 0.2956 | 0.4681 | 0.4687    | 0.2796 |
| 0.9393        | 4.0   | 4844 | 0.9964          | 0.4824 | 0.3091 | 0.4803 | 0.4803    | 0.2992 |
| 0.8503        | 5.0   | 6055 | 0.9982          | 0.4799 | 0.3113 | 0.4778 | 0.4778    | 0.2994 |


### Framework versions

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