---
base_model: muchad/idt5-base
library_name: peft
license: apache-2.0
metrics:
- rouge
- bleu
tags:
- generated_from_trainer
model-index:
- name: idt5-base-qg_adapter
  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-qg_adapter

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: 1.6825
- Rouge1: 0.4305
- Rouge2: 0.2112
- Rougel: 0.4035
- Rougelsum: 0.4037
- Bleu: 0.1491

## 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: 4
- eval_batch_size: 4
- 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   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 2.381         | 1.0   | 15289 | 1.8003          | 0.3963 | 0.1873 | 0.3693 | 0.3693    | 0.1330 |
| 2.2131        | 2.0   | 30578 | 1.7265          | 0.4244 | 0.2052 | 0.3962 | 0.3964    | 0.1456 |
| 2.1822        | 3.0   | 45867 | 1.7086          | 0.4279 | 0.2094 | 0.4004 | 0.4006    | 0.1483 |
| 2.1374        | 4.0   | 61156 | 1.6846          | 0.4283 | 0.2110 | 0.4018 | 0.4019    | 0.1494 |
| 2.1217        | 5.0   | 76445 | 1.6825          | 0.4305 | 0.2112 | 0.4035 | 0.4037    | 0.1491 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0