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--- |
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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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- generated_from_trainer |
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datasets: |
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- Arbi-Houssem/Tunisian_dataset_STT-TTS15s_filtred1.0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tunisien |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Tunisian_dataset_STT-TTS15s_filtred1.0 |
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type: Arbi-Houssem/Tunisian_dataset_STT-TTS15s_filtred1.0 |
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args: 'config: ar, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 109.99324780553681 |
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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 Tunisien |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Tunisian_dataset_STT-TTS15s_filtred1.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.0846 |
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- Wer: 109.9932 |
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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-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 3000 |
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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 | Wer | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 1.6852 | 3.8760 | 500 | 3.5237 | 148.8184 | |
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| 1.2494 | 7.7519 | 1000 | 3.2200 | 121.6070 | |
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| 1.2202 | 11.6279 | 1500 | 3.1493 | 125.3883 | |
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| 1.0905 | 15.5039 | 2000 | 3.1099 | 113.9095 | |
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| 1.0606 | 19.3798 | 2500 | 3.0905 | 110.1958 | |
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| 1.0858 | 23.2558 | 3000 | 3.0846 | 109.9932 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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