metadata
library_name: transformers
language:
- ha
license: apache-2.0
base_model: EYEDOL/whisper-tiny-hausa3
tags:
- generated_from_trainer
datasets:
- EYEDOL/naija-voices-hausa-split_0-7
metrics:
- wer
model-index:
- name: EYEDOL/whisper-tiny-hausa4
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: EYEDOL/naija-voices-hausa-split_0-7
type: EYEDOL/naija-voices-hausa-split_0-7
metrics:
- name: Wer
type: wer
value: 0.42863956754464994
EYEDOL/whisper-tiny-hausa4
This model is a fine-tuned version of EYEDOL/whisper-tiny-hausa3 on the EYEDOL/naija-voices-hausa-split_0-7 dataset. It achieves the following results on the evaluation set:
- Loss: 0.6150
- Wer Ortho: 0.4881
- Wer: 0.4286
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 1.1986 | 1.0 | 665 | 0.6044 | 0.4888 | 0.4280 |
| 1.0839 | 2.0 | 1330 | 0.6025 | 0.4829 | 0.4250 |
| 0.9731 | 3.0 | 1995 | 0.6060 | 0.4991 | 0.4402 |
| 0.8759 | 4.0 | 2660 | 0.6150 | 0.4881 | 0.4286 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2