---
license: apache-2.0
base_model: ihebaker10/spark-name-ar-to-en
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: spark-name-ar-to-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. -->

# spark-name-ar-to-en

This model is a fine-tuned version of [ihebaker10/spark-name-ar-to-en](https://huggingface.co/ihebaker10/spark-name-ar-to-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4228
- Bleu: 46.0889
- Wer: 0.513
- Cer: 0.3032
- Gen Len: 6.6541

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Wer    | Cer    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:------:|:-------:|
| 1.4673        | 1.0   | 2221  | 1.4345          | 47.0582 | 0.4936 | 0.2991 | 6.4236  |
| 1.3251        | 2.0   | 4442  | 1.4000          | 50.8792 | 0.477  | 0.2893 | 6.4104  |
| 1.0338        | 3.0   | 6663  | 1.3892          | 51.5038 | 0.4727 | 0.2872 | 6.418   |
| 0.9901        | 4.0   | 8884  | 1.3888          | 52.5143 | 0.4675 | 0.2821 | 6.3892  |
| 0.8191        | 5.0   | 11105 | 1.3953          | 52.9892 | 0.4664 | 0.2902 | 6.5155  |
| 0.805         | 6.0   | 13326 | 1.4024          | 52.8471 | 0.4654 | 0.2904 | 6.5205  |
| 0.7153        | 7.0   | 15547 | 1.4127          | 45.0993 | 0.5169 | 0.304  | 6.6268  |
| 0.673         | 8.0   | 17768 | 1.4138          | 45.2321 | 0.5186 | 0.3087 | 6.6599  |
| 0.6606        | 9.0   | 19989 | 1.4228          | 45.6946 | 0.5154 | 0.3059 | 6.6617  |
| 0.6626        | 10.0  | 22210 | 1.4228          | 46.0889 | 0.513  | 0.3032 | 6.6541  |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1