---
license: apache-2.0
tags:
- summarization
- arabic
- ar
- fa
- persian
- mt5
- Abstractive Summarization
- generated_from_trainer
model-index:
- name: mt5-base-finetuned-arfa
  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-arfa

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1784
- Rouge-1: 25.68
- Rouge-2: 11.8
- Rouge-l: 22.99
- Gen Len: 18.99
- Bertscore: 71.78

## 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
- num_epochs: 4
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|
| 3.9866        | 1.0   | 2649  | 3.3635          | 21.94   | 8.59    | 19.5    | 18.99   | 70.6      |
| 3.5637        | 2.0   | 5298  | 3.2557          | 24.01   | 10.0    | 21.26   | 18.99   | 71.22     |
| 3.4016        | 3.0   | 7947  | 3.2005          | 24.4    | 10.43   | 21.72   | 18.98   | 71.36     |
| 3.2985        | 4.0   | 10596 | 3.1784          | 24.68   | 10.73   | 22.01   | 18.98   | 71.51     |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1