| --- |
| language: |
| - mn |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: Whisper Tiny Mongolian |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: Common Voice 11.0 |
| type: mozilla-foundation/common_voice_11_0 |
| config: mn |
| split: test |
| args: mn |
| metrics: |
| - name: Wer |
| type: wer |
| value: 50.93340611353712 |
| --- |
| |
| # Whisper Tiny Mongolian - Cheryl |
|
|
| 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: 0.9725 |
| - Wer: 50.9334 |
|
|
| ## 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: 8 |
| - 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: 5000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.0053 | 16.01 | 1000 | 0.7965 | 52.4945 | |
| | 0.0004 | 33.01 | 2000 | 0.8716 | 49.8253 | |
| | 0.0002 | 50.01 | 3000 | 0.9256 | 50.1037 | |
| | 0.0001 | 67.01 | 4000 | 0.9542 | 50.3275 | |
| | 0.0001 | 84.01 | 5000 | 0.9725 | 50.9334 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.0+cu116 |
| - Datasets 2.8.1.dev0 |
| - Tokenizers 0.13.2 |
| |
