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whisper-tiny-finetuned – AI Model by ishitaswami | AlphaNeural AI
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whisper-tiny-finetuned
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transformers
tensorboard
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-finetuned
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.0.dev0
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.22.0
