|
--- |
|
language: |
|
- ja |
|
license: other |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- Elite35P-Server/EliteVoiceProject |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Japanese Elite |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Elite35P-Server/EliteVoiceProject twitch |
|
type: Elite35P-Server/EliteVoiceProject |
|
config: twitch |
|
split: test |
|
args: twitch |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 23.296888141295206 |
|
--- |
|
|
|
<!-- 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 Small Japanese Elite |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Elite35P-Server/EliteVoiceProject twitch dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.9180 |
|
- Wer: 23.2969 |
|
|
|
## 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: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant_with_warmup |
|
- lr_scheduler_warmup_steps: 100 |
|
- training_steps: 10000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.0033 | 18.0 | 1000 | 0.6728 | 25.3154 | |
|
| 0.008 | 37.0 | 2000 | 0.6984 | 23.3810 | |
|
| 0.0002 | 56.0 | 3000 | 0.7486 | 24.4743 | |
|
| 0.0001 | 75.0 | 4000 | 0.7753 | 24.4743 | |
|
| 0.0 | 94.0 | 5000 | 0.8014 | 24.0538 | |
|
| 0.0 | 113.0 | 6000 | 0.8244 | 24.3902 | |
|
| 0.0 | 132.0 | 7000 | 0.8468 | 23.8015 | |
|
| 0.0 | 150.0 | 8000 | 0.8699 | 23.4651 | |
|
| 0.0 | 169.0 | 9000 | 0.8936 | 23.2128 | |
|
| 0.0 | 188.0 | 10000 | 0.9180 | 23.2969 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.8.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
