---
license: apache-2.0
base_model: PRAli22/arat5-arabic-dialects-translation
tags:
- generated_from_trainer
model-index:
- name: t5-finetuned-ar-to-arsl_test
  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-arsl_test

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: 0.4437
- Bleu1: 0.9326
- Bleu2: 0.8967
- Bleu3: 0.7133
- Bleu4: 0.5737

## 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 | Bleu1  | Bleu2  | Bleu3  | Bleu4  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| No log        | 1.0   | 59   | 0.3274          | 0.9290 | 0.8943 | 0.7134 | 0.5740 |
| No log        | 2.0   | 118  | 0.3396          | 0.9332 | 0.9022 | 0.7185 | 0.5775 |
| No log        | 2.99  | 177  | 0.3654          | 0.9331 | 0.9001 | 0.7165 | 0.5754 |
| No log        | 3.99  | 236  | 0.3809          | 0.9298 | 0.8951 | 0.7096 | 0.5690 |
| No log        | 4.99  | 295  | 0.3918          | 0.9325 | 0.8984 | 0.7153 | 0.5747 |
| No log        | 5.99  | 354  | 0.4003          | 0.9294 | 0.8926 | 0.7082 | 0.5691 |
| No log        | 6.99  | 413  | 0.4018          | 0.9331 | 0.8984 | 0.7137 | 0.5738 |
| No log        | 8.0   | 473  | 0.4154          | 0.9333 | 0.9007 | 0.7161 | 0.5776 |
| 0.0263        | 9.0   | 532  | 0.4394          | 0.9338 | 0.8985 | 0.7142 | 0.5745 |
| 0.0263        | 10.0  | 591  | 0.4421          | 0.9336 | 0.8994 | 0.7176 | 0.5781 |
| 0.0263        | 10.99 | 650  | 0.4417          | 0.9325 | 0.8971 | 0.7138 | 0.5753 |
| 0.0263        | 11.99 | 709  | 0.4526          | 0.9340 | 0.8992 | 0.7154 | 0.5740 |
| 0.0263        | 12.99 | 768  | 0.4487          | 0.9328 | 0.8971 | 0.7134 | 0.5734 |
| 0.0263        | 13.99 | 827  | 0.4483          | 0.9324 | 0.8970 | 0.7135 | 0.5740 |
| 0.0263        | 14.97 | 885  | 0.4437          | 0.9326 | 0.8967 | 0.7133 | 0.5737 |


### Framework versions

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