---
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-SQuAD-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-SQuAD-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: 1.2435
- Rouge1: 0.4541
- Rouge2: 0.2698
- Rougel: 0.4124
- Rougelsum: 0.4153
- Bleu: 0.2340

## 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   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 1.621         | 1.0   | 2000  | 1.6169          | 0.3952 | 0.2070 | 0.3546 | 0.3571    | 0.1960 |
| 1.2945        | 2.0   | 4000  | 1.2680          | 0.4430 | 0.2591 | 0.4021 | 0.4046    | 0.2241 |
| 1.1443        | 3.0   | 6000  | 1.2492          | 0.4536 | 0.2682 | 0.4099 | 0.4124    | 0.2340 |
| 1.0735        | 4.0   | 8000  | 1.2459          | 0.4549 | 0.2722 | 0.4140 | 0.4166    | 0.2339 |
| 1.0061        | 5.0   | 10000 | 1.2435          | 0.4541 | 0.2698 | 0.4124 | 0.4153    | 0.2340 |


### Framework versions

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