|
--- |
|
library_name: transformers |
|
language: |
|
- sh |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- DigitalUmuganda/Afrivoice |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Shona - Beijuka Bruno |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Afrivoice_shona |
|
type: DigitalUmuganda/Afrivoice |
|
args: 'config: sh, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 43.77763739734681 |
|
--- |
|
|
|
<!-- 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 Shona - Beijuka Bruno |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the Afrivoice_shona dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.9885 |
|
- Wer: 43.7776 |
|
- Cer: 10.5354 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 100 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
|
| 1.4704 | 1.0 | 221 | 0.8345 | 57.1641 | 12.8241 | |
|
| 0.588 | 2.0 | 442 | 0.5671 | 43.1463 | 9.0338 | |
|
| 0.3483 | 3.0 | 663 | 0.4983 | 39.4835 | 8.0809 | |
|
| 0.2005 | 4.0 | 884 | 0.4918 | 38.3288 | 8.0162 | |
|
| 0.1084 | 5.0 | 1105 | 0.5136 | 38.5771 | 7.9115 | |
|
| 0.0554 | 6.0 | 1326 | 0.5454 | 38.4405 | 8.3641 | |
|
| 0.0285 | 7.0 | 1547 | 0.5648 | 38.9744 | 8.2256 | |
|
| 0.0182 | 8.0 | 1768 | 0.5721 | 38.2915 | 7.7560 | |
|
| 0.012 | 9.0 | 1989 | 0.6069 | 36.6153 | 7.7960 | |
|
| 0.008 | 10.0 | 2210 | 0.6072 | 37.8445 | 7.8022 | |
|
| 0.0059 | 11.0 | 2431 | 0.6271 | 36.4167 | 7.2819 | |
|
| 0.0038 | 12.0 | 2652 | 0.6236 | 37.1244 | 7.9361 | |
|
| 0.0039 | 13.0 | 2873 | 0.6414 | 37.1244 | 7.3650 | |
|
| 0.0034 | 14.0 | 3094 | 0.6356 | 36.3546 | 7.2603 | |
|
| 0.003 | 15.0 | 3315 | 0.6491 | 36.5284 | 7.4512 | |
|
| 0.0049 | 16.0 | 3536 | 0.6539 | 38.2915 | 9.1293 | |
|
| 0.0058 | 17.0 | 3757 | 0.6732 | 38.7758 | 7.7114 | |
|
| 0.0049 | 18.0 | 3978 | 0.6704 | 37.4224 | 7.5236 | |
|
| 0.0046 | 19.0 | 4199 | 0.6662 | 37.3231 | 7.7945 | |
|
| 0.0028 | 20.0 | 4420 | 0.6718 | 36.3422 | 7.5328 | |
|
| 0.002 | 21.0 | 4641 | 0.6796 | 36.4912 | 7.5821 | |
|
| 0.0019 | 22.0 | 4862 | 0.6730 | 36.0318 | 7.5528 | |
|
| 0.0021 | 23.0 | 5083 | 0.6833 | 37.0002 | 7.6914 | |
|
| 0.0018 | 24.0 | 5304 | 0.6928 | 36.3919 | 7.4358 | |
|
| 0.0018 | 25.0 | 5525 | 0.7052 | 35.4358 | 7.4728 | |
|
| 0.0014 | 26.0 | 5746 | 0.7111 | 36.5533 | 8.0793 | |
|
| 0.0019 | 27.0 | 5967 | 0.6961 | 35.9945 | 7.2634 | |
|
| 0.002 | 28.0 | 6188 | 0.7029 | 35.6345 | 7.2942 | |
|
| 0.0016 | 29.0 | 6409 | 0.7191 | 35.7090 | 7.2649 | |
|
| 0.002 | 30.0 | 6630 | 0.7013 | 35.6593 | 7.2249 | |
|
| 0.0016 | 31.0 | 6851 | 0.7105 | 35.8704 | 7.5975 | |
|
| 0.0023 | 32.0 | 7072 | 0.7251 | 35.4482 | 7.3065 | |
|
| 0.0017 | 33.0 | 7293 | 0.7093 | 35.4482 | 7.3203 | |
|
| 0.0017 | 34.0 | 7514 | 0.7264 | 36.2180 | 7.5112 | |
|
| 0.0018 | 35.0 | 7735 | 0.7227 | 35.4731 | 7.4450 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |
|
|
