---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-summarize-ar-en
  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-summarize-ar-en

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9127
- Rouge1: 0.4091
- Rouge2: 0.2216
- Rougel: 0.3747
- Rougelsum: 0.3744

## 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: 2
- 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: 90
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 4.731         | 0.16  | 100  | 3.7741          | 0.3274 | 0.1592 | 0.2979 | 0.2977    |
| 3.9076        | 0.32  | 200  | 3.3310          | 0.3424 | 0.1696 | 0.3120 | 0.3125    |
| 3.7287        | 0.48  | 300  | 3.0822          | 0.3820 | 0.1995 | 0.3503 | 0.3501    |
| 3.6632        | 0.64  | 400  | 3.0226          | 0.3977 | 0.2148 | 0.3621 | 0.3621    |
| 3.3942        | 0.8   | 500  | 2.9377          | 0.4041 | 0.2151 | 0.3675 | 0.3672    |
| 3.4731        | 0.96  | 600  | 2.9127          | 0.4091 | 0.2216 | 0.3747 | 0.3744    |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0