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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-base |
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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: 117.69074949358543 |
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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-base](https://huggingface.co/openai/whisper-base) 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: 4.7577 |
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- Wer: 117.6907 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 4000 |
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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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| 0.5147 | 7.7519 | 500 | 3.1417 | 128.5618 | |
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| 0.0559 | 15.5039 | 1000 | 3.8111 | 132.5456 | |
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| 0.01 | 23.2558 | 1500 | 4.2115 | 120.1891 | |
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| 0.0029 | 31.0078 | 2000 | 4.4628 | 120.3916 | |
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| 0.0017 | 38.7597 | 2500 | 4.6127 | 111.2086 | |
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| 0.0011 | 46.5116 | 3000 | 4.6945 | 124.6455 | |
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| 0.0009 | 54.2636 | 3500 | 4.7426 | 113.3018 | |
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| 0.0009 | 62.0155 | 4000 | 4.7577 | 117.6907 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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