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--- |
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library_name: transformers |
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language: |
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- fa |
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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_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper small- Mohammad Khosravi |
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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 11.0 |
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type: mozilla-foundation/common_voice_11_0 |
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config: fa |
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split: None |
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args: 'config: fa, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 105.3763440860215 |
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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- Mohammad Khosravi |
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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 11.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0832 |
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- Wer: 105.3763 |
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 5 |
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- training_steps: 100 |
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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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| No log | 1.4286 | 10 | 1.9791 | 109.6774 | |
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| No log | 2.8571 | 20 | 1.6973 | 107.5269 | |
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| 1.023 | 4.2857 | 30 | 1.6941 | 109.6774 | |
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| 1.023 | 5.7143 | 40 | 1.7788 | 107.5269 | |
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| 0.1444 | 7.1429 | 50 | 1.8726 | 104.3011 | |
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| 0.1444 | 8.5714 | 60 | 1.9535 | 103.2258 | |
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| 0.1444 | 10.0 | 70 | 1.9987 | 104.3011 | |
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| 0.0166 | 11.4286 | 80 | 2.0563 | 102.1505 | |
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| 0.0166 | 12.8571 | 90 | 2.0768 | 105.3763 | |
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| 0.0062 | 14.2857 | 100 | 2.0832 | 105.3763 | |
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### Framework versions |
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- Transformers 4.48.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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