---
base_model: UBC-NLP/AraT5v2-base-1024
library_name: peft
metrics:
- bleu
- rouge
tags:
- generated_from_trainer
model-index:
- name: araT5-Base-with-IA3
  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-IA3

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: 3.5700
- Bleu: 5.2733
- Rouge: 0.2997
- Gen Len: 14.2112

## 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: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Rouge  | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:-------:|
| 8.4777        | 1.0   | 7500  | 4.1503          | 3.0695 | 0.2361 | 14.3284 |
| 5.3262        | 2.0   | 15000 | 3.8670          | 4.0626 | 0.2757 | 14.1688 |
| 5.0341        | 3.0   | 22500 | 3.7264          | 4.5492 | 0.2893 | 14.1428 |
| 4.879         | 4.0   | 30000 | 3.6486          | 4.945  | 0.2955 | 14.224  |
| 4.7908        | 5.0   | 37500 | 3.6025          | 5.1278 | 0.298  | 14.2372 |
| 4.7425        | 6.0   | 45000 | 3.5780          | 5.2779 | 0.2995 | 14.2132 |
| 4.7198        | 7.0   | 52500 | 3.5700          | 5.2733 | 0.2997 | 14.2112 |


### Framework versions

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