metadata
library_name: transformers
language:
- bem
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- BIG-C/BEMBA
metrics:
- wer
model-index:
- name: Whisper Small Bemba - Beijuka Bruno
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: BEMBA
type: BIG-C/BEMBA
args: 'config: bemba, split: test'
metrics:
- name: Wer
type: wer
value: 0.6407617746274392
Whisper Small Bemba - Beijuka Bruno
This model is a fine-tuned version of openai/whisper-small on the BEMBA dataset. It achieves the following results on the evaluation set:
- Loss: 1.3624
- Wer: 0.6408
- Cer: 0.1701
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: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.6721 | 1.0 | 32 | 2.4561 | 1.5330 | 0.6440 |
| 2.2935 | 2.0 | 64 | 1.9492 | 0.9650 | 0.3391 |
| 1.7575 | 3.0 | 96 | 1.5668 | 0.8598 | 0.2686 |
| 1.4295 | 4.0 | 128 | 1.3788 | 0.7765 | 0.2352 |
| 1.1759 | 5.0 | 160 | 1.2559 | 0.7586 | 0.2371 |
| 0.9792 | 6.0 | 192 | 1.1833 | 0.7439 | 0.2093 |
| 0.8037 | 7.0 | 224 | 1.1540 | 0.6931 | 0.2193 |
| 0.6423 | 8.0 | 256 | 1.1380 | 0.6857 | 0.1988 |
| 0.462 | 9.0 | 288 | 1.1553 | 0.6905 | 0.2055 |
| 0.3141 | 10.0 | 320 | 1.1998 | 0.7169 | 0.2213 |
| 0.2089 | 11.0 | 352 | 1.2249 | 0.6661 | 0.1869 |
| 0.1359 | 12.0 | 384 | 1.2399 | 0.7071 | 0.2051 |
| 0.0831 | 13.0 | 416 | 1.2533 | 0.7148 | 0.2138 |
| 0.0553 | 14.0 | 448 | 1.2758 | 0.6553 | 0.1773 |
| 0.0334 | 15.0 | 480 | 1.3205 | 0.6406 | 0.1766 |
| 0.0286 | 16.0 | 512 | 1.2915 | 0.6486 | 0.1774 |
| 0.0248 | 17.0 | 544 | 1.3042 | 0.6628 | 0.1861 |
| 0.0177 | 18.0 | 576 | 1.3364 | 0.6628 | 0.1930 |
| 0.0131 | 19.0 | 608 | 1.3429 | 0.6505 | 0.1832 |
| 0.0116 | 20.0 | 640 | 1.3442 | 0.6763 | 0.2078 |
| 0.0105 | 21.0 | 672 | 1.3807 | 0.6548 | 0.1787 |
| 0.0056 | 22.0 | 704 | 1.3839 | 0.6480 | 0.1775 |
| 0.005 | 23.0 | 736 | 1.3965 | 0.6402 | 0.1775 |
| 0.0059 | 24.0 | 768 | 1.3936 | 0.6605 | 0.1941 |
| 0.0055 | 25.0 | 800 | 1.3850 | 0.6471 | 0.1871 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.0+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1