| --- |
| language: |
| - ckb |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small Ckb - Razhan Hameed |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: ckb |
| split: test |
| metrics: |
| - name: Wer |
| type: wer |
| value: 33.2192952446117 |
| --- |
| |
| <!-- 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 Ckb - Razhan Hameed |
|
|
| 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: 0.3825 |
| - Wer: 33.2193 |
|
|
| ## 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: 64 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 12000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | 0.1693 | 2.49 | 1000 | 0.2060 | 39.1265 | |
| | 0.0722 | 4.98 | 2000 | 0.2124 | 36.3173 | |
| | 0.0127 | 7.46 | 3000 | 0.2736 | 36.5568 | |
| | 0.008 | 9.95 | 4000 | 0.3131 | 35.7015 | |
| | 0.0032 | 12.44 | 5000 | 0.3434 | 35.3936 | |
| | 0.0028 | 14.93 | 6000 | 0.3453 | 35.9258 | |
| | 0.003 | 17.41 | 7000 | 0.3558 | 34.9565 | |
| | 0.0022 | 19.9 | 8000 | 0.3593 | 34.2722 | |
| | 0.0016 | 22.39 | 9000 | 0.3639 | 34.3369 | |
| | 0.0015 | 24.88 | 10000 | 0.3785 | 34.0062 | |
| | 0.0009 | 27.36 | 11000 | 0.3915 | 34.2951 | |
| | 0.0001 | 29.85 | 12000 | 0.3825 | 33.2193 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.0+cu117 |
| - Datasets 2.7.1.dev0 |
| - Tokenizers 0.13.2 |
| |
