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--- |
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library_name: transformers |
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language: |
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- ks |
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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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- muneebharoon/whisper-kashmiri |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small ks - Muneeb Haroon |
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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: whisper-kashmiri |
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type: muneebharoon/whisper-kashmiri |
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args: 'config: ks, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 39.80769230769231 |
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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 ks - Muneeb Haroon |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the whisper-kashmiri dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1578 |
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- Wer: 39.8077 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: 500 |
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- training_steps: 10000 |
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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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| 0.0123 | 21.2811 | 1000 | 0.9382 | 48.125 | |
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| 0.0051 | 42.5622 | 2000 | 0.9946 | 42.4519 | |
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| 0.0032 | 63.8432 | 3000 | 1.0278 | 41.3942 | |
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| 0.0 | 85.1081 | 4000 | 1.1138 | 40.5288 | |
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| 0.0 | 106.3892 | 5000 | 1.1578 | 39.8077 | |
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| 0.0 | 127.6703 | 6000 | 1.1869 | 39.8077 | |
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| 0.0 | 148.9514 | 7000 | 1.2211 | 40.0 | |
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| 0.0 | 170.2162 | 8000 | 1.2430 | 40.2404 | |
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| 0.0 | 191.4973 | 9000 | 1.2679 | 40.2885 | |
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| 0.0 | 212.7784 | 10000 | 1.2762 | 40.3365 | |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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