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whisper-tiny-english – AI Model by TyoCre | AlphaNeural AI
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TyoCre
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whisper-tiny-english
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
PolyAI/minds14
endpoints_compatible
us
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Whisper Tiny English - TO241
This model is a fine-tuned version of
PolyAI/minds14
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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 350
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
