|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-large-zh-cv11 |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_11_0 |
|
type: common_voice_11_0 |
|
config: zh-CN |
|
split: validation[:1000] |
|
args: zh-CN |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 52.307692307692314 |
|
--- |
|
|
|
<!-- 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-large-zh-cv11 |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common_voice_11_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2501 |
|
- Wer: 52.3077 |
|
- Cer: 8.9573 |
|
|
|
## 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: 5e-06 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 2000 |
|
- training_steps: 20000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
|
| 0.3314 | 0.83 | 1000 | 0.2110 | 65.7014 | 10.8047 | |
|
| 0.2747 | 1.66 | 2000 | 0.2005 | 58.1900 | 9.4191 | |
|
| 0.1989 | 2.49 | 3000 | 0.1983 | 56.1991 | 9.0939 | |
|
| 0.1142 | 3.31 | 4000 | 0.2076 | 55.0226 | 9.1589 | |
|
| 0.0747 | 4.14 | 5000 | 0.2131 | 56.3801 | 9.0483 | |
|
| 0.0709 | 4.97 | 6000 | 0.2165 | 54.6606 | 8.9768 | |
|
| 0.0432 | 5.8 | 7000 | 0.2222 | 54.0271 | 8.9508 | |
|
| 0.0261 | 6.63 | 8000 | 0.2299 | 54.4796 | 9.0353 | |
|
| 0.0152 | 7.46 | 9000 | 0.2290 | 52.7602 | 8.8076 | |
|
| 0.0054 | 8.28 | 10000 | 0.2435 | 51.6742 | 8.5279 | |
|
| 0.0028 | 9.11 | 11000 | 0.2421 | 53.0317 | 8.9833 | |
|
| 0.0045 | 9.94 | 12000 | 0.2462 | 52.9412 | 8.7751 | |
|
| 0.0016 | 10.77 | 13000 | 0.2501 | 52.3077 | 8.9573 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
