---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- New_fine-tune_whisper_new_dataset
- generated_from_trainer
datasets:
- darija-c
metrics:
- bleu
model-index:
- name: 'Finetuned Whisper small darija translate '
  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. -->

# Finetuned Whisper small darija translate 

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Darija-C dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Bleu: 0.7440

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Bleu   |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 3.975         | 0.6667  | 10   | 3.4363          | 0.0    |
| 2.1029        | 1.3333  | 20   | 1.5986          | 0.0262 |
| 1.7909        | 2.0     | 30   | 0.9239          | 0.1314 |
| 0.9837        | 2.6667  | 40   | 0.5086          | 0.3289 |
| 0.36          | 3.3333  | 50   | 0.4370          | 0.3911 |
| 0.6361        | 4.0     | 60   | 0.2622          | 0.4561 |
| 0.5227        | 4.6667  | 70   | 0.2506          | 0.5266 |
| 0.3307        | 5.3333  | 80   | 0.1299          | 0.6123 |
| 0.2438        | 6.0     | 90   | 0.1290          | 0.6057 |
| 0.2864        | 6.6667  | 100  | 0.0838          | 0.6623 |
| 0.073         | 7.3333  | 110  | 0.0965          | 0.6494 |
| 0.1924        | 8.0     | 120  | 0.0859          | 0.7237 |
| 0.0086        | 8.6667  | 130  | 0.0235          | 0.7174 |
| 0.003         | 9.3333  | 140  | 0.0335          | 0.7354 |
| 0.054         | 10.0    | 150  | 0.0096          | 0.7367 |
| 0.0008        | 10.6667 | 160  | 0.0190          | 0.7367 |
| 0.0002        | 11.3333 | 170  | 0.0003          | 0.7440 |
| 0.0001        | 12.0    | 180  | 0.0001          | 0.7440 |
| 0.0002        | 12.6667 | 190  | 0.0001          | 0.7440 |
| 0.0           | 13.3333 | 200  | 0.0000          | 0.7440 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 2.19.2
- Tokenizers 0.20.3