---
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_v1-0
  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_v1-0

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: 1.2262
- Rouge1: 0.4340
- Rouge2: 0.2406
- Rougel: 0.4042
- Rougelsum: 0.4051
- Bleu: 0.1913

## 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   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 1.413         | 1.0   | 4695  | 1.3393          | 0.4004 | 0.2104 | 0.3743 | 0.3749    | 0.1641 |
| 1.2176        | 2.0   | 9390  | 1.2736          | 0.4213 | 0.2290 | 0.3925 | 0.3934    | 0.1809 |
| 1.1113        | 3.0   | 14085 | 1.2329          | 0.4272 | 0.2346 | 0.3981 | 0.3990    | 0.1851 |
| 1.028         | 4.0   | 18780 | 1.2241          | 0.4337 | 0.2384 | 0.4036 | 0.4044    | 0.1901 |
| 0.9813        | 5.0   | 23475 | 1.2262          | 0.4340 | 0.2406 | 0.4042 | 0.4051    | 0.1913 |


### Framework versions

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