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whisper-small-zhIII_v1 – AI Model by TsaiYing | AlphaNeural AI | AlphaNeural AI
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whisper-small-zhIII_v1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
zh
dataset
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small zhIII_v1
This model is a fine-tuned version of
openai/whisper-small
on the sample dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
Cer: 0.0
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: 2
eval_batch_size: 1
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: 5
training_steps: 300
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.0132
3.3333
100
0.0007
0.0
0.0001
6.6667
200
0.0001
0.0
0.0001
10.0
300
0.0001
0.0
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
