---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: franco-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. -->

# franco-arabic

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3227

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 3    | 1.2456          |
| No log        | 2.0   | 6    | 1.0399          |
| No log        | 3.0   | 9    | 0.8359          |
| No log        | 4.0   | 12   | 0.7516          |
| No log        | 5.0   | 15   | 0.6830          |
| No log        | 6.0   | 18   | 0.6363          |
| No log        | 7.0   | 21   | 0.5988          |
| No log        | 8.0   | 24   | 0.5653          |
| No log        | 9.0   | 27   | 0.5347          |
| No log        | 10.0  | 30   | 0.5024          |
| No log        | 11.0  | 33   | 0.4733          |
| No log        | 12.0  | 36   | 0.4499          |
| No log        | 13.0  | 39   | 0.4313          |
| No log        | 14.0  | 42   | 0.4149          |
| No log        | 15.0  | 45   | 0.4000          |
| No log        | 16.0  | 48   | 0.3872          |
| No log        | 17.0  | 51   | 0.3766          |
| No log        | 18.0  | 54   | 0.3668          |
| No log        | 19.0  | 57   | 0.3589          |
| No log        | 20.0  | 60   | 0.3522          |
| No log        | 21.0  | 63   | 0.3464          |
| No log        | 22.0  | 66   | 0.3419          |
| No log        | 23.0  | 69   | 0.3379          |
| No log        | 24.0  | 72   | 0.3344          |
| No log        | 25.0  | 75   | 0.3311          |
| No log        | 26.0  | 78   | 0.3285          |
| No log        | 27.0  | 81   | 0.3262          |
| No log        | 28.0  | 84   | 0.3245          |
| No log        | 29.0  | 87   | 0.3234          |
| No log        | 30.0  | 90   | 0.3227          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3