---
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
  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

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: 1.9747
- Rouge1: 0.4128
- Rouge2: 0.2269
- Rougel: 0.3823
- Rougelsum: 0.3837
- Bleu: 0.1804

## 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   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 0.771         | 1.0   | 6000  | 1.3605          | 0.4130 | 0.2293 | 0.3840 | 0.3851    | 0.1819 |
| 0.4904        | 2.0   | 12000 | 1.5539          | 0.4183 | 0.2330 | 0.3885 | 0.3897    | 0.1837 |
| 0.3432        | 3.0   | 18000 | 1.7444          | 0.4093 | 0.2249 | 0.3797 | 0.3810    | 0.1768 |
| 0.2608        | 4.0   | 24000 | 1.8966          | 0.4149 | 0.2270 | 0.3834 | 0.3848    | 0.1805 |
| 0.2215        | 5.0   | 30000 | 1.9747          | 0.4128 | 0.2269 | 0.3823 | 0.3837    | 0.1804 |


### Framework versions

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