| | --- |
| | language: |
| | - id |
| | license: apache-2.0 |
| | tags: |
| | - whisper-event |
| | - generated_from_trainer |
| | datasets: |
| | - mozilla-foundation/common_voice_12_0 |
| | metrics: |
| | - wer |
| | model-index: |
| | - name: Whisper medium ID - Augmented |
| | results: |
| | - task: |
| | name: Automatic Speech Recognition |
| | type: automatic-speech-recognition |
| | dataset: |
| | name: mozilla-foundation/common_voice_12_0 |
| | type: mozilla-foundation/common_voice_12_0 |
| | config: id |
| | split: test |
| | args: id |
| | metrics: |
| | - name: Wer |
| | type: wer |
| | value: 99.75899946726197 |
| | --- |
| | |
| | <!-- 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 medium ID - Augmented |
| |
|
| | This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_12_0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4065 |
| | - Wer: 99.7590 |
| | |
| | ## 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: 1 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 100 |
| | - training_steps: 1000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Wer | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 1.4562 | 0.02 | 200 | 1.0805 | 106.6186 | |
| | | 1.2687 | 0.05 | 400 | 0.8628 | 90.1909 | |
| | | 1.2806 | 0.07 | 600 | 0.8015 | 98.6233 | |
| | | 0.9542 | 0.1 | 800 | 0.5424 | 99.7379 | |
| | | 0.6867 | 0.12 | 1000 | 0.4065 | 99.7590 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.29.0.dev0 |
| | - Pytorch 2.0.0+cu117 |
| | - Datasets 2.10.1 |
| | - Tokenizers 0.13.2 |
| |
|
