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whisper-small-uk – AI Model by gencgeray | AlphaNeural AI
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whisper-small-uk
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
uk
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small uk - Herai Hench KI-11
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4145
Wer: 31.9610
Cer: 8.2964
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: 500
training_steps: 6000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.2178
1.2097
1500
0.3832
34.1799
8.7797
0.107
2.4194
3000
0.3643
32.4823
7.9608
0.0488
3.6290
4500
0.3847
31.8941
8.2014
0.0229
4.8387
6000
0.4145
31.9610
8.2964
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu124
Datasets 3.5.1
Tokenizers 0.21.0
