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--- |
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library_name: transformers |
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language: |
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- ps |
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license: mit |
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base_model: openai/whisper-large-v3-turbo |
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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 PS - Hanif Rahman |
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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: ps_af |
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split: test+validation |
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args: 'config: ps, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 40.057062876830315 |
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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 PS - Hanif Rahman |
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) 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: 0.5707 |
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- Wer Ortho: 40.7188 |
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- Wer: 40.0571 |
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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: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 200 |
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- training_steps: 1000 |
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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 Ortho | Wer | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:| |
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| 0.9719 | 0.2268 | 100 | 0.8098 | 59.2165 | 59.0924 | |
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| 0.8427 | 0.4535 | 200 | 0.7384 | 55.1748 | 54.5596 | |
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| 0.7493 | 0.6803 | 300 | 0.6743 | 48.8614 | 48.3473 | |
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| 0.684 | 0.9070 | 400 | 0.6384 | 46.1094 | 45.5534 | |
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| 0.4819 | 1.1338 | 500 | 0.6348 | 44.3341 | 43.7123 | |
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| 0.4777 | 1.3605 | 600 | 0.6026 | 43.6758 | 42.9264 | |
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| 0.4433 | 1.5873 | 700 | 0.5789 | 41.7386 | 40.9991 | |
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| 0.446 | 1.8141 | 800 | 0.5647 | 40.2709 | 39.5995 | |
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| 0.3166 | 2.0408 | 900 | 0.5681 | 40.4490 | 39.7771 | |
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| 0.3187 | 2.2676 | 1000 | 0.5707 | 40.7188 | 40.0571 | |
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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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