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

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: 2.1185
- Bleu: 12.5314
- Rouge: 0.5045
- Gen Len: 14.066

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 4.2656        | 1.0   | 7500  | 2.6346          | 9.6457  | 0.4263 | 14.0196 |
| 3.2885        | 2.0   | 15000 | 2.3718          | 10.7953 | 0.4683 | 14.1228 |
| 3.0225        | 3.0   | 22500 | 2.2546          | 11.4633 | 0.4853 | 14.0032 |
| 2.865         | 4.0   | 30000 | 2.1520          | 12.0114 | 0.4999 | 13.9988 |
| 2.747         | 5.0   | 37500 | 2.1185          | 12.5314 | 0.5045 | 14.066  |


### Framework versions

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