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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-tiny |
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tags: |
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- generated_from_trainer |
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datasets: |
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- whitefox123/tashkeel |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Ar - AzeemX |
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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: Tashkeel |
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type: whitefox123/tashkeel |
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config: default |
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split: None |
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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: 40.0 |
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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 Tiny Ar - AzeemX |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Tashkeel dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2374 |
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- Wer: 40.0 |
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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: 16 |
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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: 5000 |
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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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| 0.2521 | 1.6 | 1000 | 0.3009 | 53.0811 | |
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| 0.146 | 3.2 | 2000 | 0.2476 | 42.5946 | |
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| 0.1238 | 4.8 | 3000 | 0.2334 | 40.1081 | |
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| 0.0916 | 6.4 | 4000 | 0.2372 | 39.5315 | |
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| 0.0866 | 8.0 | 5000 | 0.2374 | 40.0 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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