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whisper-akan-finetuned – AI Model by dennis-9 | AlphaNeural AI
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whisper-akan-finetuned
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-akan-finetuned
This model was trained from scratch on the None dataset.
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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.3.0+cu121
Datasets 3.6.0
Tokenizers 0.21.1
