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whisper-wello-finetuned – AI Model by Bedru | AlphaNeural AI
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Bedru
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whisper-wello-finetuned
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peft
tensorboard
safetensors
adapter
lora
transformers
am
gheero-Leyu/leyu-amharic-wello-dialect
openai/whisper-small
apache-2.0
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Whisper Small am - Bedru Yimam
This model is a fine-tuned version of
openai/whisper-small
on the wello 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: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
