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Whisper_fine-tuned_VVV – AI Model by Vishva02 | AlphaNeural AI

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Vishva02/
Whisper_fine-tuned_VVV

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0

automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_11_0

openai/whisper-small

endpoints_compatible

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Whisper_fine-tuned_VVV

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: 500
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.39.2
Pytorch 2.2.1+cu121
Tokenizers 0.15.2