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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- audiofolder |
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metrics: |
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- wer |
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model-index: |
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- name: whisper-medium-ar-no_diacritics |
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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: audiofolder |
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type: audiofolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Wer |
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type: wer |
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value: 7.4970484061393154 |
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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-medium-ar-no_diacritics |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1762 |
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- Wer: 7.4970 |
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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: 24 |
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- eval_batch_size: 24 |
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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: 8000 |
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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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| 0.1114 | 1.01 | 400 | 0.1300 | 9.9764 | |
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| 0.0682 | 2.02 | 800 | 0.1157 | 8.9138 | |
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| 0.0302 | 3.03 | 1200 | 0.1274 | 8.2645 | |
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| 0.0151 | 4.04 | 1600 | 0.1277 | 7.7922 | |
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| 0.0104 | 5.05 | 2000 | 0.1304 | 7.7922 | |
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| 0.0069 | 6.06 | 2400 | 0.1476 | 8.4416 | |
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| 0.0033 | 7.07 | 2800 | 0.1307 | 7.7332 | |
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| 0.0026 | 8.08 | 3200 | 0.1425 | 8.3235 | |
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| 0.001 | 9.09 | 3600 | 0.1530 | 8.2054 | |
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| 0.0006 | 10.1 | 4000 | 0.1586 | 7.9693 | |
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| 0.0008 | 11.11 | 4400 | 0.1601 | 7.6151 | |
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| 0.001 | 12.12 | 4800 | 0.1647 | 8.0874 | |
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| 0.001 | 13.13 | 5200 | 0.1650 | 7.7332 | |
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| 0.0001 | 14.14 | 5600 | 0.1671 | 7.4380 | |
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| 0.0001 | 15.15 | 6000 | 0.1694 | 7.2609 | |
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| 0.0001 | 16.16 | 6400 | 0.1726 | 7.4970 | |
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| 0.0002 | 17.17 | 6800 | 0.1744 | 7.4380 | |
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| 0.0001 | 18.18 | 7200 | 0.1752 | 7.4970 | |
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| 0.0 | 19.19 | 7600 | 0.1758 | 7.4970 | |
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| 0.0 | 20.2 | 8000 | 0.1762 | 7.4970 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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