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Whisper_finetuned_VVV_2 – AI Model by Vishva02 | AlphaNeural AI
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Whisper_finetuned_VVV_2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
en
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper_finetuned_VVV_2
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 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: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.39.2
Pytorch 2.2.1+cu121
Tokenizers 0.15.2
