metadata
library_name: transformers
language:
- multilingual
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- multilingual
metrics:
- wer
model-index:
- name: Whisper-Small-Multilingual-Uganda
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Bateesa/popolivoice, Bateesa/buaiir_voice_jap
type: multilingual
args: 'languages: japadhola, english; splits: train, test'
metrics:
- name: Wer
type: wer
value: 20.96195262024408
Whisper-Small-Multilingual-Uganda
This model is a fine-tuned version of openai/whisper-small on the Bateesa/popolivoice, Bateesa/buaiir_voice_jap dataset. It achieves the following results on the evaluation set:
- Loss: 0.7019
- Wer: 20.9620
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0917 | 2.2989 | 200 | 0.4674 | 24.6231 |
| 0.4938 | 4.5977 | 400 | 0.5308 | 21.3927 |
| 0.2699 | 6.8966 | 600 | 0.5277 | 22.6849 |
| 0.1000 | 9.1954 | 800 | 0.6029 | 21.8234 |
| 0.0515 | 11.4943 | 1000 | 0.6263 | 23.9770 |
| 0.0196 | 13.7931 | 1200 | 0.6510 | 20.6748 |
| 0.0034 | 16.0920 | 1400 | 0.6879 | 20.8902 |
| 0.0035 | 17.2414 | 1500 | 0.7019 | 20.9620 |
Framework versions
- Transformers 5.8.0
- Pytorch 2.11.0+cu130
- Datasets 2.21.0
- Tokenizers 0.22.2