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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-large-v3 |
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tags: |
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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: Finetuned Whisper large-v3 for darija speech translation |
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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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# Finetuned Whisper large-v3 for darija speech translation |
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Darija-C dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- Bleu: 0.7440 |
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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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- 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: 100 |
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- training_steps: 1000 |
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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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| 3.0209 | 0.8333 | 50 | 1.5160 | 0.0385 | |
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| 1.4379 | 1.6667 | 100 | 0.7678 | 0.1508 | |
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| 0.8536 | 2.5 | 150 | 0.3769 | 0.2512 | |
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| 0.4203 | 3.3333 | 200 | 0.2265 | 0.4909 | |
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| 0.3585 | 4.1667 | 250 | 0.0945 | 0.5903 | |
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| 0.1791 | 5.0 | 300 | 0.0498 | 0.6521 | |
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| 0.0894 | 5.8333 | 350 | 0.0388 | 0.6798 | |
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| 0.0827 | 6.6667 | 400 | 0.0185 | 0.7029 | |
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| 0.0119 | 7.5 | 450 | 0.0266 | 0.7213 | |
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| 0.0255 | 8.3333 | 500 | 0.0232 | 0.7021 | |
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| 0.0296 | 9.1667 | 550 | 0.0002 | 0.7440 | |
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| 0.0082 | 10.0 | 600 | 0.0001 | 0.7440 | |
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| 0.0001 | 10.8333 | 650 | 0.0001 | 0.7440 | |
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| 0.0001 | 11.6667 | 700 | 0.0000 | 0.7440 | |
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| 0.0 | 12.5 | 750 | 0.0000 | 0.7440 | |
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| 0.0 | 13.3333 | 800 | 0.0000 | 0.7440 | |
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| 0.0 | 14.1667 | 850 | 0.0000 | 0.7440 | |
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| 0.0 | 15.0 | 900 | 0.0000 | 0.7440 | |
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| 0.0 | 15.8333 | 950 | 0.0000 | 0.7440 | |
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| 0.0 | 16.6667 | 1000 | 0.0000 | 0.7440 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.21.0 |
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