| --- |
| language: |
| - yue |
| license: apache-2.0 |
| base_model: openai/whisper-medium |
| tags: |
| - generated_from_trainer |
| datasets: |
| - mozilla-foundation/common_voice_11_0 |
| model-index: |
| - name: Whisper medium 12 |
| results: [] |
| --- |
| |
| <!-- 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 12 |
|
|
| 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 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3270 |
| - Cer: 42.0122 |
| |
| ## 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: 0.0001 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - 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: 8000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Cer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.8931 | 1.52 | 1000 | 1.0926 | 48.9439 | |
| | 0.3041 | 3.03 | 2000 | 1.1069 | 49.5474 | |
| | 0.1319 | 4.55 | 3000 | 1.1925 | 45.4016 | |
| | 0.0324 | 6.06 | 4000 | 1.2592 | 44.3186 | |
| | 0.0245 | 7.58 | 5000 | 1.3014 | 44.2359 | |
| | 0.0061 | 9.09 | 6000 | 1.3185 | 43.3472 | |
| | 0.0031 | 10.61 | 7000 | 1.3266 | 42.2767 | |
| | 0.0007 | 12.12 | 8000 | 1.3270 | 42.0122 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.32.0.dev0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
|
|
