---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: UrduSum10k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# UrduSum10k

This model is a fine-tuned version of [ahmed0189/mT5-Arabic-text-summarization](https://huggingface.co/ahmed0189/mT5-Arabic-text-summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0337
- Rouge1: 0.3812
- Rouge2: 0.0
- Rougel: 0.3917
- Rougelsum: 0.3896
- Gen Len: 35.5582

## 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: 2e-05
- 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.6352        | 1.0   | 3000 | 3.0337          | 0.3812 | 0.0    | 0.3917 | 0.3896    | 35.5582 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.13.3