| --- |
| license: cc-by-nd-4.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: odia_whisper_small_v3.0 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: mozilla-foundation/common_voice_11_0 or |
| type: mozilla-foundation/common_voice_11_0 |
| config: or |
| split: test |
| args: or |
| metrics: |
| - name: Wer |
| type: wer |
| value: 13.8614 |
| language: |
| - or |
| --- |
| |
| <!-- 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. --> |
|
|
| # Ranjit/whisper_small_35k_or |
| |
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 and other dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2584 |
| - Wer: 13.8614 |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - training_steps: 5000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.0022 | 5.59 | 1000 | 0.2405 | 13.9995 | |
| | 0.0005 | 11.17 | 2000 | 0.2584 | 13.8614 | |
| | 0.0002 | 16.76 | 3000 | 0.2683 | 16.5598 | |
| | 0.0 | 22.35 | 4000 | 0.2907 | 15.0380 | |
| | 0.0 | 27.93 | 5000 | 0.3085 | 14.2035 | |
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