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---
library_name: transformers
language:
- ar
license: apache-2.0
base_model: openai/whisper-small
tags:
- Custom_activation_from_scratch train_whisper(12layerschange,10000_2000_2000_200)
- generated_from_trainer
datasets:
- darija-c
metrics:
- bleu
model-index:
- name: '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. -->
# 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: 0.0001
- Bleu: 0.0681
## 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
- 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: 2000
- training_steps: 16000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:---------:|:-----:|:---------------:|:------:|
| 0.6324 | 133.3333 | 2000 | 0.5772 | 0.0 |
| 0.2913 | 266.6667 | 4000 | 0.2546 | 0.1229 |
| 0.2803 | 400.0 | 6000 | 0.2447 | 0.0859 |
| 0.2342 | 533.3333 | 8000 | 0.2505 | 0.0428 |
| 0.0562 | 666.6667 | 10000 | 0.0231 | 0.1789 |
| 0.0002 | 800.0 | 12000 | 0.0002 | 0.1136 |
| 0.0001 | 933.3333 | 14000 | 0.0001 | 0.0681 |
| 0.0001 | 1066.6667 | 16000 | 0.0001 | 0.0681 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 2.19.2
- Tokenizers 0.20.3
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