| --- |
| language: |
| - yue |
| license: apache-2.0 |
| base_model: openai/whisper-tiny |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Whisper Tiny Jyutping without Tones Full Version |
| 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 Tiny Jyutping without Tones Full Version |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 14.0 dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.1820 |
| - eval_wer: 19.9145 |
| - eval_runtime: 400.8299 |
| - eval_samples_per_second: 6.387 |
| - eval_steps_per_second: 0.399 |
| - epoch: 0.18 |
| - step: 800 |
| |
| ## 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: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 400 |
| - training_steps: 2400 |
|
|
| ### Framework versions |
|
|
| - Transformers 4.34.0.dev0 |
| - Pytorch 2.0.1 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|