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whisper-small-tw – AI Model by DDTChen | AlphaNeural AI
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whisper-small-tw
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
zh
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Taiwan
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: 0.2414
Wer: 40.2846
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0244
1.4184
1000
0.2211
42.4506
0.0127
2.8369
2000
0.2259
41.6437
0.0017
4.2553
3000
0.2313
40.8792
0.0006
5.6738
4000
0.2385
40.2209
0.0005
7.0922
5000
0.2414
40.2846
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
