|
--- |
|
library_name: peft |
|
language: |
|
- en |
|
license: mit |
|
base_model: openai/whisper-large-v3-turbo |
|
tags: |
|
- wft |
|
- whisper |
|
- automatic-speech-recognition |
|
- audio |
|
- speech |
|
- generated_from_trainer |
|
datasets: |
|
- ntnu-smil/lttc-rebalanced-1-split |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-large-v3-turbo-score-5-rebalanced-2 |
|
results: |
|
- task: |
|
type: automatic-speech-recognition |
|
name: Automatic Speech Recognition |
|
dataset: |
|
name: ntnu-smil/lttc-rebalanced-1-split |
|
type: ntnu-smil/lttc-rebalanced-1-split |
|
metrics: |
|
- type: wer |
|
value: 36.52802893309223 |
|
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-large-v3-turbo-score-5-rebalanced-2 |
|
|
|
This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the ntnu-smil/lttc-rebalanced-1-split dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 3.7199 |
|
- Wer: 36.5280 |
|
- Cer: 25.0 |
|
|
|
## 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: 0.0005 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
|
| 0.0489 | 1.0 | 18 | 3.2509 | 37.2514 | 23.4504 | |
|
| 0.1246 | 2.0 | 36 | 3.6744 | 35.6239 | 23.5709 | |
|
| 0.0011 | 3.0 | 54 | 3.6182 | 36.7089 | 22.9855 | |
|
| 0.0075 | 4.0 | 72 | 3.7182 | 37.1609 | 22.6240 | |
|
| 0.0002 | 5.0 | 90 | 3.7643 | 37.7939 | 23.6398 | |
|
| 0.0028 | 6.0 | 108 | 3.6117 | 36.7089 | 23.8809 | |
|
| 0.0003 | 7.0 | 126 | 3.5535 | 36.8897 | 24.6556 | |
|
| 0.0001 | 8.0 | 144 | 3.6586 | 37.7939 | 25.1033 | |
|
| 0.0003 | 9.0 | 162 | 3.6168 | 36.8897 | 24.7934 | |
|
| 0.0001 | 10.0 | 180 | 3.6500 | 37.1609 | 25.1033 | |
|
| 0.0002 | 11.0 | 198 | 3.6934 | 37.4322 | 25.3960 | |
|
| 0.0001 | 12.0 | 216 | 3.6901 | 36.9801 | 25.2410 | |
|
| 0.0001 | 13.0 | 234 | 3.6980 | 36.7993 | 25.2238 | |
|
| 0.0001 | 14.0 | 252 | 3.6990 | 36.9801 | 25.1377 | |
|
| 0.0002 | 15.0 | 270 | 3.7110 | 36.9801 | 25.2755 | |
|
| 0.0001 | 16.0 | 288 | 3.7139 | 36.7993 | 25.1894 | |
|
| 0.0001 | 17.0 | 306 | 3.7175 | 36.7089 | 25.1722 | |
|
| 0.0001 | 18.0 | 324 | 3.7202 | 36.9801 | 25.3444 | |
|
| 0.0001 | 19.0 | 342 | 3.7210 | 36.8897 | 24.9828 | |
|
| 0.0002 | 20.0 | 360 | 3.7199 | 36.5280 | 25.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.2 |
|
- Transformers 4.46.3 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.20.3 |
