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whisper-tiny-zh-cer-prototype – AI Model by zhangyudi | AlphaNeural AI
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whisper-tiny-zh-cer-prototype
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
zh
mozilla-foundation/common_voice_16_1
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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Whisper Tiny Zh Proto - Yudi Zhang
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
Loss: 0.8029
Cer: 0.3862
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: 8
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
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.9089
0.0500
250
0.8366
0.4323
0.9485
0.0999
500
0.8029
0.3862
Framework versions
Transformers 4.51.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
