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whisper_asr_finetuned – AI Model by Aadithyak | AlphaNeural AI
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Aadithyak
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whisper_asr_finetuned
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small.en
finetune
apache-2.0
endpoints_compatible
us
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whisper_asr_finetuned
This model is a fine-tuned version of
openai/whisper-small.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1830
Wer: 5.0295
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: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
