---
library_name: transformers
license: apache-2.0
base_model: muchad/idt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: idt5-base-qaqg_v2
  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. -->

# idt5-base-qaqg_v2

This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4556
- Rouge1: 0.3955
- Rouge2: 0.2208
- Rougel: 0.3775
- Rougelsum: 0.3775
- Bleu: 0.1803

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 1.7409        | 1.0   | 6000  | 1.5167          | 0.3688 | 0.1975 | 0.3508 | 0.3508    | 0.1743 |
| 1.5199        | 2.0   | 12000 | 1.4764          | 0.3828 | 0.2118 | 0.3658 | 0.3659    | 0.1656 |
| 1.4226        | 3.0   | 18000 | 1.4606          | 0.3837 | 0.2107 | 0.3661 | 0.3663    | 0.1704 |
| 1.2556        | 4.0   | 24000 | 1.4559          | 0.3955 | 0.2214 | 0.3778 | 0.3777    | 0.1816 |
| 1.2196        | 5.0   | 30000 | 1.4556          | 0.3955 | 0.2208 | 0.3775 | 0.3775    | 0.1803 |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.0.2
- Tokenizers 0.20.1