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whisper-tiny-zh-Lauren – AI Model by angelLin | AlphaNeural AI
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whisper-tiny-zh-Lauren
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
multilingual
mozilla-foundation/common_voice_12_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-tiny-zh-TW_Lauren
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4621
Wer: 66.1195
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4972
1.4025
1000
0.4668
68.2660
0.2862
2.8050
2000
0.4528
66.2037
0.17
4.2076
3000
0.4583
65.9301
0.1137
5.6101
4000
0.4621
66.1195
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
