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

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: 1.3080
- Bleu: 19.9507
- Rouge: 0.6204
- Gen Len: 14.3392

## 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

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Rouge  | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|
| 2.7135        | 1.0   | 7500  | 1.6843          | 15.9171 | 0.5533 | 14.33   |
| 1.6024        | 2.0   | 15000 | 1.4055          | 18.3573 | 0.5965 | 14.27   |
| 1.1542        | 3.0   | 22500 | 1.3082          | 19.3343 | 0.6112 | 14.3792 |
| 0.8608        | 4.0   | 30000 | 1.3080          | 19.9507 | 0.6204 | 14.3392 |
| 0.6687        | 5.0   | 37500 | 1.3430          | 20.2683 | 0.6234 | 14.3436 |


### Framework versions

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