---
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-TydiQA-v1
  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-TydiQA-v1

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: 0.8328
- Rouge1: 0.5111
- Rouge2: 0.3387
- Rougel: 0.5091
- Rougelsum: 0.5094
- Bleu: 0.3213

## 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   |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 1.554         | 1.0   | 1141 | 1.0170          | 0.4244 | 0.2646 | 0.4236 | 0.4242    | 0.2574 |
| 1.1296        | 2.0   | 2282 | 0.8916          | 0.4669 | 0.2959 | 0.4653 | 0.4656    | 0.2839 |
| 0.9521        | 3.0   | 3423 | 0.8648          | 0.4889 | 0.3195 | 0.4867 | 0.4873    | 0.3026 |
| 0.8317        | 4.0   | 4564 | 0.8361          | 0.5115 | 0.3401 | 0.5095 | 0.5098    | 0.3188 |
| 0.7622        | 5.0   | 5705 | 0.8328          | 0.5111 | 0.3387 | 0.5091 | 0.5094    | 0.3213 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.1.0
- Tokenizers 0.20.3