| --- |
| license: apache-2.0 |
| base_model: openai/whisper-small |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_9_0 |
| metrics: |
| - wer |
| model-index: |
| - name: special3 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: mozilla-foundation/common_voice_9_0 id |
| type: mozilla-foundation/common_voice_9_0 |
| config: id |
| split: train |
| args: id |
| metrics: |
| - name: Wer |
| type: wer |
| value: 0.1995279982836301 |
| --- |
| |
| <!-- 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. --> |
|
|
| # special3 |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_9_0 id dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0008 |
| - Wer: 0.1995 |
| |
| ## 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: 12 |
| - eval_batch_size: 6 |
| - 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 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.0959 | 2.38 | 1000 | 0.0714 | 2.8063 | |
| | 0.0152 | 4.75 | 2000 | 0.0111 | 0.4913 | |
| | 0.0022 | 7.13 | 3000 | 0.0022 | 0.2060 | |
| | 0.0014 | 9.5 | 4000 | 0.0011 | 0.2188 | |
| | 0.0008 | 11.88 | 5000 | 0.0008 | 0.1995 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.31.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
|
|
