metadata
library_name: transformers
language:
- sn
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
metrics:
- name: Wer
type: wer
value: 0.249389849081038
Whisper Small Shona - Beijuka Bruno
This model is a fine-tuned version of openai/whisper-small on the Afrivoice_shona dataset. It achieves the following results on the evaluation set:
- Loss: 0.2732
- Wer: 0.2494
- Cer: 0.0454
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: 4
- 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 |
|---|---|---|---|---|---|
| 0.4587 | 1.0 | 3704 | 0.3029 | 0.2674 | 0.0498 |
| 0.2209 | 2.0 | 7408 | 0.2808 | 0.2737 | 0.0539 |
| 0.1485 | 3.0 | 11112 | 0.2871 | 0.2600 | 0.0464 |
| 0.0954 | 4.0 | 14816 | 0.3082 | 0.2701 | 0.0529 |
| 0.0567 | 5.0 | 18520 | 0.3315 | 0.2619 | 0.0492 |
| 0.0328 | 6.0 | 22224 | 0.3654 | 0.2632 | 0.0479 |
| 0.0205 | 7.0 | 25928 | 0.3952 | 0.2661 | 0.0481 |
| 0.0146 | 8.0 | 29632 | 0.4262 | 0.2612 | 0.0479 |
| 0.0116 | 9.0 | 33336 | 0.4367 | 0.2640 | 0.0492 |
| 0.0096 | 10.0 | 37040 | 0.4722 | 0.2657 | 0.0476 |
| 0.0081 | 11.0 | 40744 | 0.4748 | 0.2642 | 0.0481 |
| 0.0075 | 12.0 | 44448 | 0.4790 | 0.2693 | 0.0476 |
| 0.0069 | 13.0 | 48152 | 0.4983 | 0.2665 | 0.0493 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.2.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1