metadata
language:
- yo
license: apache-2.0
base_model: neoform-ai/whisper-medium-yoruba
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: YorubaASR2
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 17.0
type: mozilla-foundation/common_voice_17_0
config: yo
split: None
args: yo
metrics:
- name: Wer
type: wer
value: 47.204707860445566
YorubaASR2
This model is a fine-tuned version of neoform-ai/whisper-medium-yoruba on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8390
- Wer: 47.2047
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: 8
- 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
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
0.0145 | 3.8462 | 1000 | 0.8390 | 47.2047 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 3.2.0
- Tokenizers 0.19.1