---
license: apache-2.0
base_model: PRAli22/arat5-arabic-dialects-translation
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-finetuned-ar-to-arsl3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-finetuned-ar-to-arsl3

This model is a fine-tuned version of [PRAli22/arat5-arabic-dialects-translation](https://huggingface.co/PRAli22/arat5-arabic-dialects-translation) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3891
- Bleu: 0.9525

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.99  | 78   | 0.4271          | 0.9497 |
| No log        | 1.99  | 157  | 0.3818          | 0.9485 |
| No log        | 2.99  | 236  | 0.3428          | 0.9526 |
| No log        | 3.99  | 315  | 0.3173          | 0.9527 |
| No log        | 5.0   | 394  | 0.3344          | 0.9518 |
| No log        | 6.0   | 473  | 0.3455          | 0.9536 |
| 0.0868        | 7.0   | 552  | 0.3598          | 0.9525 |
| 0.0868        | 8.0   | 631  | 0.3672          | 0.9543 |
| 0.0868        | 8.99  | 709  | 0.3574          | 0.9537 |
| 0.0868        | 9.99  | 788  | 0.3664          | 0.9505 |
| 0.0868        | 10.99 | 867  | 0.3750          | 0.9529 |
| 0.0868        | 11.99 | 946  | 0.3805          | 0.9538 |
| 0.054         | 13.0  | 1025 | 0.3885          | 0.9541 |
| 0.054         | 14.0  | 1104 | 0.3874          | 0.9525 |
| 0.054         | 14.83 | 1170 | 0.3891          | 0.9525 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2