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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-large-v3 |
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tags: |
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- hf-asr-leaderboard |
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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 large - tuned |
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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: CLARtts |
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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: 156.86486486486487 |
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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 large - tuned |
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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 CLARtts dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1992 |
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- Wer: 156.8649 |
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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: 9375 |
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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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| 0.0864 | 1.6 | 1000 | 0.1155 | 165.5135 | |
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| 0.0291 | 3.2 | 2000 | 0.1192 | 268.0360 | |
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| 0.0196 | 4.8 | 3000 | 0.1317 | 217.9820 | |
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| 0.0024 | 6.4 | 4000 | 0.1583 | 136.1802 | |
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| 0.0012 | 8.0 | 5000 | 0.1708 | 136.3604 | |
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| 0.0004 | 9.6 | 6000 | 0.1841 | 128.7207 | |
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| 0.0009 | 11.2 | 7000 | 0.1831 | 169.8739 | |
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| 0.0003 | 12.8 | 8000 | 0.1885 | 158.7387 | |
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| 0.0001 | 14.4 | 9000 | 0.1992 | 156.8649 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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