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whisper-small-zh-TW – AI Model by jun-han | AlphaNeural AI
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whisper-small-zh-TW
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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-TW
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: 0.3084
Cer: 15.6339
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.6123
1.3245
1000
0.6134
33.7535
0.1688
2.6490
2000
0.3170
17.2558
0.0472
3.9735
3000
0.3022
15.9905
0.01
5.2980
4000
0.3084
15.6339
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
