---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- generated_from_trainer
datasets:
- darija-c
metrics:
- bleu
model-index:
- name: Finetuned Whisper large-v2 for darija speech translation
  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 large-v2 for darija speech translation

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- 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: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Bleu   |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 2.8484        | 0.8333  | 50   | 1.3002          | 0.0478 |
| 1.3282        | 1.6667  | 100  | 0.6981          | 0.2207 |
| 0.8624        | 2.5     | 150  | 0.3707          | 0.3989 |
| 0.5125        | 3.3333  | 200  | 0.1671          | 0.5491 |
| 0.2217        | 4.1667  | 250  | 0.1338          | 0.5698 |
| 0.2398        | 5.0     | 300  | 0.0775          | 0.6498 |
| 0.048         | 5.8333  | 350  | 0.0474          | 0.7083 |
| 0.0894        | 6.6667  | 400  | 0.0116          | 0.7344 |
| 0.0133        | 7.5     | 450  | 0.0009          | 0.7440 |
| 0.0009        | 8.3333  | 500  | 0.0023          | 0.7286 |
| 0.0029        | 9.1667  | 550  | 0.0002          | 0.7440 |
| 0.0004        | 10.0    | 600  | 0.0001          | 0.7440 |
| 0.0001        | 10.8333 | 650  | 0.0001          | 0.7440 |
| 0.0001        | 11.6667 | 700  | 0.0001          | 0.7440 |
| 0.0           | 12.5    | 750  | 0.0000          | 0.7440 |
| 0.0001        | 13.3333 | 800  | 0.0000          | 0.7440 |
| 0.0           | 14.1667 | 850  | 0.0000          | 0.7440 |
| 0.0           | 15.0    | 900  | 0.0000          | 0.7440 |
| 0.0           | 15.8333 | 950  | 0.0000          | 0.7440 |
| 0.0           | 16.6667 | 1000 | 0.0000          | 0.7440 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 2.19.2
- Tokenizers 0.21.0