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---
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
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