---
license: apache-2.0
base_model: PRAli22/arat5-arabic-dialects-translation
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_model
  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. -->

# my_awesome_model

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: 0.0131
- Bleu: 97.9438

## 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        | 1.0   | 50   | 4.6250          | 52.3906 |
| No log        | 2.0   | 100  | 0.5771          | 66.2019 |
| No log        | 3.0   | 150  | 0.1341          | 77.5175 |
| No log        | 4.0   | 200  | 0.0740          | 87.7725 |
| No log        | 5.0   | 250  | 0.0518          | 90.5727 |
| No log        | 6.0   | 300  | 0.0372          | 92.5823 |
| No log        | 7.0   | 350  | 0.0298          | 94.3032 |
| No log        | 8.0   | 400  | 0.0252          | 95.3759 |
| No log        | 9.0   | 450  | 0.0218          | 96.2749 |
| 1.3109        | 10.0  | 500  | 0.0191          | 96.4118 |
| 1.3109        | 11.0  | 550  | 0.0166          | 97.1165 |
| 1.3109        | 12.0  | 600  | 0.0149          | 98.0447 |
| 1.3109        | 13.0  | 650  | 0.0139          | 97.8950 |
| 1.3109        | 14.0  | 700  | 0.0134          | 97.8386 |
| 1.3109        | 15.0  | 750  | 0.0131          | 97.9438 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1