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--- |
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library_name: transformers |
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language: |
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- he |
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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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- mozilla-foundation/common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small He - Sanchit Gandhi |
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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: Common Voice 17.0 |
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type: mozilla-foundation/common_voice_17_0 |
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config: he |
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split: test |
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args: 'config: he, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 71.81719260065287 |
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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 Small He - Sanchit Gandhi |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9486 |
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- Wer: 71.8172 |
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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: 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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| 0.1591 | 5.1948 | 400 | 0.6390 | 74.0479 | |
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| 0.0164 | 10.3896 | 800 | 0.7373 | 74.3199 | |
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| 0.0078 | 15.5844 | 1200 | 0.8321 | 73.3950 | |
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| 0.0028 | 20.7792 | 1600 | 0.8744 | 74.2111 | |
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| 0.0012 | 25.9740 | 2000 | 0.9024 | 71.8172 | |
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| 0.0003 | 31.1688 | 2400 | 0.9137 | 72.0348 | |
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| 0.0002 | 36.3636 | 2800 | 0.9279 | 71.8172 | |
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| 0.0002 | 41.5584 | 3200 | 0.9391 | 71.8172 | |
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| 0.0002 | 46.7532 | 3600 | 0.9457 | 71.8172 | |
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| 0.0002 | 51.9481 | 4000 | 0.9486 | 71.8172 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.19.1 |
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