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--- |
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library_name: transformers |
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language: |
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- ar |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- Custom_activation_from_scratch train_whisper(12layerschange,10000_2000_2000_200) |
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- generated_from_trainer |
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datasets: |
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- darija-c |
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metrics: |
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- bleu |
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model-index: |
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- name: 'Whisper small darija translate ' |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper small darija translate |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Darija-C dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0001 |
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- Bleu: 0.6434 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 2000 |
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- training_steps: 10000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | |
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|:-------------:|:--------:|:-----:|:---------------:|:------:| |
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| 0.7235 | 133.3333 | 2000 | 0.5970 | 0.05 | |
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| 0.0257 | 266.6667 | 4000 | 0.0500 | 0.6200 | |
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| 0.0003 | 400.0 | 6000 | 0.0002 | 0.7200 | |
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| 0.0001 | 533.3333 | 8000 | 0.0001 | 0.6567 | |
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| 0.0001 | 666.6667 | 10000 | 0.0001 | 0.6434 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.20.3 |
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