metadata
base_model: mbazaNLP/Whisper-Small-Kinyarwanda
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: whisper-small-rw
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: common_voice_11_0
type: common_voice_11_0
config: rw
split: None
args: rw
metrics:
- name: Wer
type: wer
value: 33.420365535248045
whisper-small-rw
This model is a fine-tuned version of mbazaNLP/Whisper-Small-Kinyarwanda on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 2.0954
- Wer: 33.4204
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: 5
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.4286 | 10 | 2.3900 | 34.2037 |
| No log | 2.8571 | 20 | 2.3111 | 34.5953 |
| 2.1422 | 4.2857 | 30 | 2.2492 | 34.2037 |
| 2.1422 | 5.7143 | 40 | 2.2022 | 33.9426 |
| 1.8742 | 7.1429 | 50 | 2.1669 | 33.8120 |
| 1.8742 | 8.5714 | 60 | 2.1406 | 33.6815 |
| 1.8742 | 10.0 | 70 | 2.1216 | 33.4204 |
| 1.7608 | 11.4286 | 80 | 2.1077 | 33.2898 |
| 1.7608 | 12.8571 | 90 | 2.0994 | 33.5509 |
| 1.6573 | 14.2857 | 100 | 2.0954 | 33.4204 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1