---
base_model: UBC-NLP/AraT5v2-base-1024
library_name: peft
metrics:
- bleu
- rouge
tags:
- generated_from_trainer
model-index:
- name: araT5-Base-with-QDoRA
  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. -->

# araT5-Base-with-QDoRA

This model is a fine-tuned version of [UBC-NLP/AraT5v2-base-1024](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0895
- Bleu: 13.0266
- Rouge: 0.51
- Gen Len: 14.0476

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Rouge  | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.4059        | 1.0   | 7500  | 2.6665          | 9.3718  | 0.4205 | 14.0244 |
| 3.2667        | 2.0   | 15000 | 2.3469          | 11.0187 | 0.4717 | 13.966  |
| 2.9674        | 3.0   | 22500 | 2.2030          | 12.2302 | 0.4942 | 13.9836 |
| 2.8026        | 4.0   | 30000 | 2.1166          | 12.8104 | 0.5085 | 14.022  |
| 2.7107        | 5.0   | 37500 | 2.0895          | 13.0266 | 0.51   | 14.0476 |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1