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whisper-medium-luganda – AI Model by allandclive | AlphaNeural AI
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whisper-medium-luganda
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
lg
mozilla-foundation/common_voice_16_1
google/fleurs
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium-luganda
This model is a fine-tuned version of
openai/whisper-medium
on the None dataset.
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 11000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2