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whisper-small-Chinese-5epochs – AI Model by SakuraJ | AlphaNeural AI
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SakuraJ
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whisper-small-Chinese-5epochs
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
zh
urarik/thchs30
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper small Chinese fine
This model is a fine-tuned version of
openai/whisper-small
on the thchs30 dataset. It achieves the following results on the evaluation set:
Loss: 0.0537
Cer: 1.6727
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: 100
training_steps: 1565
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.1252
1.0
313
0.1105
3.7658
0.0371
2.0
626
0.0651
2.0993
0.0109
3.0
939
0.0554
1.6911
0.0041
4.0
1252
0.0539
1.6727
0.0026
5.0
1565
0.0537
1.6727
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
