| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: openai/whisper-small |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: common_voice_11_0 |
| type: common_voice_11_0 |
| config: ru |
| split: test |
| args: ru |
| metrics: |
| - name: Wer |
| type: wer |
| value: 12.29877024558306 |
| --- |
| |
| <!-- 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. --> |
|
|
| # openai/whisper-small |
|
|
| 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: 0.3157 |
| - Wer: 12.2988 |
| |
| ## 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: 32 |
| - eval_batch_size: 16 |
| - 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: 10000 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:| |
| | 0.0731 | 1.04 | 1000 | 0.2183 | 13.0589 | |
| | 0.0194 | 3.02 | 2000 | 0.2390 | 12.8027 | |
| | 0.0067 | 4.06 | 3000 | 0.2524 | 12.5832 | |
| | 0.0025 | 6.04 | 4000 | 0.2725 | 12.3245 | |
| | 0.0017 | 8.02 | 5000 | 0.2854 | 12.7046 | |
| | 0.0009 | 9.06 | 6000 | 0.2915 | 12.5072 | |
| | 0.0005 | 11.04 | 7000 | 0.3006 | 12.2473 | |
| | 0.0004 | 13.02 | 8000 | 0.3060 | 12.2375 | |
| | 0.0003 | 14.06 | 9000 | 0.3129 | 12.2963 | |
| | 0.0003 | 16.04 | 10000 | 0.3157 | 12.2988 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.0.dev0 |
| - Pytorch 2.0.0+cu117 |
| - Datasets 2.11.1.dev0 |
| - Tokenizers 0.13.2 |
|
|
