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whisper-tiny-dv – AI Model by speechGenius | AlphaNeural AI
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speechGenius
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whisper-tiny-dv
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_13_0
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-dv
This model is a fine-tuned version of
openai/whisper-tiny
on the common_voice_13_0 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: 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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
No log
0.71
5
3.2382
178.0488
176.0976
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
