| --- |
| language: |
| - bn |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - hf-asr-leaderboard |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Small bn - Group 4 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: default |
| split: test |
| args: 'config: bn, split: test' |
| metrics: |
| - name: Wer |
| type: wer |
| value: 42.212627219456316 |
| --- |
| |
| <!-- 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 bn - Group 4 |
|
|
| 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: 0.2751 |
| - Wer: 42.2126 |
|
|
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.163 | 1.06 | 500 | 0.2064 | 55.6065 | |
| | 0.0862 | 2.12 | 1000 | 0.1675 | 47.1869 | |
| | 0.0475 | 3.18 | 1500 | 0.1696 | 44.8561 | |
| | 0.0239 | 4.24 | 2000 | 0.1848 | 43.2436 | |
| | 0.0119 | 5.3 | 2500 | 0.2081 | 43.5608 | |
| | 0.0058 | 6.36 | 3000 | 0.2262 | 43.0718 | |
| | 0.0024 | 7.42 | 3500 | 0.2427 | 42.4726 | |
| | 0.0009 | 8.47 | 4000 | 0.2611 | 42.6356 | |
| | 0.0005 | 9.53 | 4500 | 0.2709 | 42.3492 | |
| | 0.0004 | 10.59 | 5000 | 0.2751 | 42.2126 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.36.0.dev0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
