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whisper-tiny-minds14-en-us – AI Model by Juchas | AlphaNeural AI
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whisper-tiny-minds14-en-us
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
PolyAI/minds14
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-minds14-en-us
This model is a fine-tuned version of
openai/whisper-tiny
on the PolyAI/minds14 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: 16
eval_batch_size: 8
seed: 42
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: 50
num_epochs: 3
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.7.1
Datasets 3.6.0
Tokenizers 0.21.1
