---
license: apache-2.0
base_model: bakrianoo/t5-arabic-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results2_ara_t5_v2
  results: []
---

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# results2_ara_t5_v2

This model is a fine-tuned version of [bakrianoo/t5-arabic-base](https://huggingface.co/bakrianoo/t5-arabic-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Gen Len: 19.0
- Loss: 0.0003
- Rouge1: 0.0875
- Rouge2: 0.0046
- Rougel: 0.0871
- Rougelsum: 0.0873

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:-------:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.3562        | 3.43  | 500  | 18.7896 | 0.0070          | 0.0966 | 0.0037 | 0.097  | 0.0965    |
| 0.0156        | 6.86  | 1000 | 19.0    | 0.0003          | 0.0875 | 0.0046 | 0.0871 | 0.0873    |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2