| --- |
| library_name: transformers |
| language: |
| - hi |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Ori vi |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| args: 'config: hi, split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 15.251862231728003 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # Whisper Small Ori vi |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4021 |
| - Wer: 15.2519 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - training_steps: 1000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:------:|:----:|:---------------:|:-------:| |
| | 0.458 | 0.2222 | 100 | 0.4649 | 16.8154 | |
| | 0.4314 | 0.4444 | 200 | 0.4266 | 16.4319 | |
| | 0.4275 | 0.6667 | 300 | 0.4166 | 15.5542 | |
| | 0.3946 | 0.8889 | 400 | 0.4107 | 15.5764 | |
| | 0.2151 | 1.1111 | 500 | 0.4051 | 15.5616 | |
| | 0.2383 | 1.3333 | 600 | 0.4014 | 15.3551 | |
| | 0.2176 | 1.5556 | 700 | 0.3979 | 15.5395 | |
| | 0.2271 | 1.7778 | 800 | 0.3996 | 15.2371 | |
| | 0.222 | 2.0 | 900 | 0.3966 | 15.4141 | |
| | 0.1469 | 2.2222 | 1000 | 0.4021 | 15.2519 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.3 |
| - Pytorch 2.4.0 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.0 |
| |
