|
--- |
|
language: |
|
- zh |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
base_model: openai/whisper-medium |
|
model-index: |
|
- name: Whisper medium nan-tw only char |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: mozilla-foundation/common_voice_11_0 nan-tw |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: nan-tw |
|
split: test |
|
args: nan-tw |
|
metrics: |
|
- type: wer |
|
value: 45.2824427480916 |
|
name: Wer |
|
--- |
|
|
|
<!-- 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 only char |
|
|
|
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: 0.9944 |
|
- Wer: 45.2824 |
|
- Cer: 45.3667 |
|
|
|
## 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: 2 |
|
- 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: 500 |
|
- training_steps: 5000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
|
| 0.5832 | 1.04 | 1000 | 1.0634 | 56.3053 | 56.4745 | |
|
| 0.1467 | 2.08 | 2000 | 1.0407 | 50.9618 | 51.0112 | |
|
| 0.016 | 3.13 | 3000 | 1.0226 | 46.4427 | 46.5137 | |
|
| 0.0001 | 5.01 | 4000 | 0.9974 | 45.4656 | 45.6082 | |
|
| 0.0001 | 6.05 | 5000 | 0.9944 | 45.2824 | 45.3667 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.2 |
|
|
