---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-finetuned-summarization-Arabic
  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. -->

# mt5-base-finetuned-summarization-Arabic

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0374
- Rouge1: 6.357
- Rouge2: 0.7702
- Rougel: 6.3922
- Rougelsum: 6.3308
- Gen Len: 17.5465

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 3.0273        | 1.0   | 1473 | 2.1479          | 5.9189 | 0.5705 | 5.87   | 5.87      | 16.6932 |
| 2.6605        | 2.0   | 2946 | 2.0578          | 6.6512 | 0.7539 | 6.6757 | 6.6754    | 17.5501 |
| 2.5505        | 3.0   | 4419 | 2.0374          | 6.357  | 0.7702 | 6.3922 | 6.3308    | 17.5465 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2