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Yoruba-ASR – AI Model by EYEDOL | AlphaNeural AI
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Yoruba-ASR
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tensorboard
safetensors
whisper
whisper-event
generated_from_trainer
yo
mozilla-foundation/common_voice_17_0
openai/whisper-medium
finetune
apache-2.0
model-index
us
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WhisperYoruba
This model is a fine-tuned version of
openai/whisper-medium
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.6665
Wer: 66.4229
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
0.1304
3.8462
1000
0.6665
66.4229
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 3.2.0
Tokenizers 0.19.1
