|
--- |
|
license: apache-2.0 |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- kul-speech-lab/CGN |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small CGN |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: kul-speech-lab/CGN |
|
type: kul-speech-lab/CGN |
|
config: cgn-dev.py |
|
split: test |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 15.197170132057957 |
|
--- |
|
|
|
|
|
# Whisper Small CGN |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the kul-speech-lab/CGN dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3386 |
|
- Wer: 15.1972 |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 15000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
|
| 0.1967 | 1.01 | 1000 | 0.4085 | 21.8459 | |
|
| 0.1355 | 2.03 | 2000 | 0.3752 | 18.6212 | |
|
| 0.2952 | 3.04 | 3000 | 0.3535 | 18.5841 | |
|
| 0.1876 | 4.05 | 4000 | 0.3464 | 17.5097 | |
|
| 0.1037 | 6.01 | 5000 | 0.3396 | 16.7360 | |
|
| 0.0473 | 7.02 | 6000 | 0.3526 | 16.4131 | |
|
| 0.1605 | 8.04 | 7000 | 0.3284 | 16.4012 | |
|
| 0.0537 | 9.05 | 8000 | 0.3386 | 15.9454 | |
|
| 0.0928 | 11.01 | 9000 | 0.3315 | 15.9568 | |
|
| 0.0144 | 12.02 | 10000 | 0.3532 | 15.5387 | |
|
| 0.0267 | 13.04 | 11000 | 0.3261 | 15.7577 | |
|
| 0.0936 | 14.05 | 12000 | 0.3155 | 15.3380 | |
|
| 0.0825 | 16.01 | 13000 | 0.3198 | 15.2653 | |
|
| 0.0498 | 17.02 | 14000 | 0.3386 | 15.1972 | |
|
| 0.0338 | 18.03 | 15000 | 0.3413 | 15.1972 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.13.0 |
|
- Datasets 2.7.1.dev0 |
|
- Tokenizers 0.13.2 |
|
|
|
Whisper small model finetuned on Flemish part of Corpus Gesproken Nederlands (CGN). |
|
|
