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--- |
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language: |
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- ml |
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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 Malayalam - Arjun Shaji |
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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: ml |
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split: None |
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args: 'config: ml, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 81.60919540229885 |
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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 Malayalam - Arjun Shaji |
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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: 0.7363 |
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- Wer: 81.6092 |
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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: 1000 |
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- training_steps: 5000 |
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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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| 0.0433 | 18.5185 | 500 | 0.5265 | 94.7126 | |
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| 0.0144 | 37.0370 | 1000 | 0.5352 | 89.1954 | |
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| 0.0057 | 55.5556 | 1500 | 0.5989 | 87.5862 | |
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| 0.0004 | 74.0741 | 2000 | 0.6575 | 82.0690 | |
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| 0.0 | 92.5926 | 2500 | 0.6616 | 81.6092 | |
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| 0.0 | 111.1111 | 3000 | 0.6911 | 81.3793 | |
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| 0.0 | 129.6296 | 3500 | 0.7097 | 81.3793 | |
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| 0.0 | 148.1481 | 4000 | 0.7232 | 81.3793 | |
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| 0.0 | 166.6667 | 4500 | 0.7327 | 81.3793 | |
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| 0.0 | 185.1852 | 5000 | 0.7363 | 81.6092 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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