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whisper-small-yue – AI Model by wcyat | AlphaNeural AI
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wcyat
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whisper-small-yue
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
wcyat/whisper-small-yue
finetune
endpoints_compatible
us
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whisper-small-yue-2
This model is a fine-tuned version of
wcyat/whisper-small-yue
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2532
Wer: 56.8538
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0176
2.83
1000
0.2532
56.8538
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
