---
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_cross
  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_cross

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: 2.5024
- Rouge1: 0.2095
- Rouge2: 0.0666
- Rougel: 0.1956
- Rougelsum: 0.1956
- Bleu: 0.0302

## 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   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:------:|
| 4.2434        | 1.0   | 7645  | 2.8841          | 0.1168 | 0.0279 | 0.1128 | 0.1128    | 0.0182 |
| 3.9586        | 2.0   | 15290 | 2.6465          | 0.1805 | 0.0574 | 0.1694 | 0.1694    | 0.0258 |
| 3.8339        | 3.0   | 22935 | 2.5548          | 0.2063 | 0.0671 | 0.1931 | 0.1931    | 0.0281 |
| 3.7775        | 4.0   | 30580 | 2.5127          | 0.2073 | 0.0665 | 0.1936 | 0.1937    | 0.0292 |
| 3.7519        | 5.0   | 38225 | 2.5024          | 0.2095 | 0.0666 | 0.1956 | 0.1956    | 0.0302 |


### 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