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whisper-large-v3-singleword – AI Model by WayneTK | AlphaNeural AI
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whisper-large-v3-singleword
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
CGE
openai/whisper-large-v3
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Large SingleWord
This model is a fine-tuned version of
openai/whisper-large-v3
on the CGE-Pronounce dataset. It achieves the following results on the evaluation set:
Loss: 0.1488
Wer: 17.1324
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.133
0.9158
1000
0.1573
24.6908
0.0788
1.8315
2000
0.1483
18.7357
0.0282
2.7473
3000
0.1458
17.3614
0.0104
3.6630
4000
0.1488
17.1324
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
