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whisper-small-uk – AI Model by nikes64 | 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_16_1
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-uk
This model is a fine-tuned version of
openai/whisper-small
on the
mozilla-foundation/common_voice_16_1
dataset. It achieves the following results on the evaluation set:
Loss: 0.2744
Wer: 26.3570
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.278
0.47
1000
0.3330
31.8004
0.2662
0.94
2000
0.2961
29.4969
0.1403
1.42
3000
0.2796
27.3209
0.1105
1.89
4000
0.2702
26.2724
0.0719
2.36
5000
0.2744
26.3570
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
