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--- |
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library_name: transformers |
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language: |
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- pmx |
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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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- iitd-duk/paula |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper-Small-paula |
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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: Paula |
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type: iitd-duk/paula |
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metrics: |
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- name: Wer |
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type: wer |
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value: 101.20160213618156 |
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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-paula |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the Paula dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2127 |
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- Wer: 101.2016 |
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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: 12 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use 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: 100 |
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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 | |
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|:-------------:|:-------:|:----:|:---------------:|:--------:| |
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| 0.3498 | 10.5263 | 200 | 2.7008 | 103.7383 | |
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| 0.0082 | 21.0526 | 400 | 2.9834 | 97.4633 | |
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| 0.0019 | 31.5789 | 600 | 3.1297 | 103.3378 | |
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| 0.0009 | 42.1053 | 800 | 3.1949 | 101.7356 | |
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| 0.0007 | 52.6316 | 1000 | 3.2127 | 101.2016 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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