| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - common_voice_11_0 |
| metrics: |
| - wer |
| model-index: |
| - name: openai/whisper-large-v2 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: common_voice_11_0 |
| type: common_voice_11_0 |
| config: cs |
| split: test |
| args: cs |
| metrics: |
| - name: Wer |
| type: wer |
| value: 9.044032338262648 |
| --- |
| |
| <!-- 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-large-v2 |
|
|
| This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_11_0 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2131 |
| - Wer: 9.0440 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 64 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.0149 | 4.25 | 1000 | 0.1622 | 10.0403 | |
| | 0.0027 | 8.51 | 2000 | 0.1848 | 9.5136 | |
| | 0.0008 | 12.76 | 3000 | 0.1930 | 9.3166 | |
| | 0.0004 | 17.02 | 4000 | 0.2062 | 9.0330 | |
| | 0.0003 | 21.28 | 5000 | 0.2131 | 9.0440 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.26.0.dev0 |
| - Pytorch 1.13.0+cu117 |
| - Datasets 2.7.1 |
| - Tokenizers 0.13.2 |
| |
