| --- |
| language: |
| - zh |
| license: apache-2.0 |
| tags: |
| - whisper-event |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| metrics: |
| - cer-char |
| - cer-rome |
| model-index: |
| - name: Whisper medium nan-tw |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: mozilla-foundation/common_voice_11_0 nan-tw |
| type: mozilla-foundation/common_voice_11_0 |
| config: nan-tw |
| split: train |
| args: nan-tw |
| metrics: |
| - name: Cer-char |
| type: cer |
| value: 45.038167938931295 |
| - name: Cer-rome |
| type: cer |
| value: 31.56572704437622 |
| --- |
| |
| <!-- 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 nan-tw |
|
|
| This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0 nan-tw dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9100 |
| - Wer: 42.0709 |
| - Cer: 22.3681 |
| |
| ## 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 |
| - 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 | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 0.0568 | 5.0 | 1000 | 0.7769 | 48.2706 | 26.0890 | |
| | 0.0057 | 10.0 | 2000 | 0.8438 | 44.0722 | 23.9270 | |
| | 0.0041 | 15.01 | 3000 | 0.8740 | 42.8540 | 22.9554 | |
| | 0.0001 | 20.01 | 4000 | 0.9041 | 42.1797 | 22.5496 | |
| | 0.0001 | 25.01 | 5000 | 0.9100 | 42.0709 | 22.3681 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.27.0.dev0 |
| - Pytorch 1.13.1+cu117 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
|
|
