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whisper-small-zh – AI Model by jun-han | AlphaNeural AI
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whisper-small-zh
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
zh
mozilla-foundation/common_voice_16_1
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Wisper-Small-zh
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 16.1 dataset. It achieves the following results on the evaluation set:
Loss: 2.9956
Cer: 105.1745
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
training_steps: 400
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
3.033
0.5298
400
2.9956
105.1745
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
