|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_13_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: whisper-small-dv |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_13_0 |
|
type: common_voice_13_0 |
|
config: dv |
|
split: test |
|
args: dv |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 11.072086796258302 |
|
--- |
|
|
|
<!-- 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-dv |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_13_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2738 |
|
- Wer Ortho: 56.8842 |
|
- Wer: 11.0721 |
|
|
|
## 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: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant_with_warmup |
|
- lr_scheduler_warmup_steps: 50 |
|
- training_steps: 3000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| |
|
| 0.1237 | 1.63 | 500 | 0.1702 | 63.0963 | 13.1429 | |
|
| 0.0494 | 3.26 | 1000 | 0.1662 | 57.8592 | 11.6285 | |
|
| 0.0315 | 4.89 | 1500 | 0.1894 | 58.3397 | 11.3937 | |
|
| 0.0121 | 6.51 | 2000 | 0.2257 | 57.7756 | 11.5502 | |
|
| 0.005 | 8.14 | 2500 | 0.2643 | 56.9747 | 11.1573 | |
|
| 0.0056 | 9.77 | 3000 | 0.2738 | 56.8842 | 11.0721 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.0 |
|
- Tokenizers 0.13.3 |
|
|
