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whisper-wolof – AI Model by cibfaye | AlphaNeural AI
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cibfaye
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whisper-wolof
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
wo
google/fleurs
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Wolof - Cibfaye
This model is a fine-tuned version of
openai/whisper-small
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 1.1460
Wer Ortho: 44.4168
Wer: 43.9413
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.2261
3.2895
500
0.9998
45.8522
45.2079
0.0286
6.5789
1000
1.1460
44.4168
43.9413
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
