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whisper-medium-Cantonese-fine-tune-bible-100 – AI Model by FunPang | AlphaNeural AI
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FunPang
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whisper-medium-Cantonese-fine-tune-bible-100
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium-Cantonese-fine-tune-bible-100
This model is a fine-tuned version of
openai/whisper-medium
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2343
Wer: 83.6364
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: 5e-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: 5
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0072
7.6923
100
0.2343
83.6364
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1
