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whisper-small_new_ver1 – AI Model by Curiousfox | AlphaNeural AI
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whisper-small_new_ver1
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
nan
mozilla-foundation/common_voice_12_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Hokkien-to-Tai Lo Whisper ver 1.1
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 16.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.7563
Wer: 133.7227
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-06
train_batch_size: 8
eval_batch_size: 16
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: 1000
training_steps: 8000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
5.7198
0.5135
800
1.4813
136.8207
1.1293
1.0270
1600
1.0268
128.2885
0.9323
1.5404
2400
0.8802
131.1833
0.7797
2.0539
3200
0.8011
132.2499
0.6692
2.5674
4000
0.7563
133.7227
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
