---
library_name: peft
license: apache-2.0
base_model: muchad/idt5-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: idt5-base-qg_adapter_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-qg_adapter_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: 1.7027
- Rouge1: 0.4239
- Rouge2: 0.2060
- Rougel: 0.3971
- Rougelsum: 0.3972
- Bleu: 0.1464

## 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   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 2.4175        | 1.0   | 7645  | 1.8247          | 0.3744 | 0.1658 | 0.3462 | 0.3463    | 0.1167 |
| 2.2718        | 2.0   | 15290 | 1.7606          | 0.4119 | 0.1957 | 0.3842 | 0.3843    | 0.1393 |
| 2.2144        | 3.0   | 22935 | 1.7280          | 0.4211 | 0.2042 | 0.3939 | 0.3940    | 0.1450 |
| 2.1661        | 4.0   | 30580 | 1.7066          | 0.4221 | 0.2050 | 0.3955 | 0.3956    | 0.1452 |
| 2.1563        | 5.0   | 38225 | 1.7027          | 0.4239 | 0.2060 | 0.3971 | 0.3972    | 0.1464 |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.0.2
- Tokenizers 0.20.1