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openfun-ivod-whisper-large-v3-WangMeiHui-11-46 – AI Model by luyotw | AlphaNeural AI
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openfun-ivod-whisper-large-v3-WangMeiHui-11-46
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3
finetune
endpoints_compatible
us
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Fine-tuned Whisper model for Legislative Yuan of Taiwan
This model is a fine-tuned version of
openai/whisper-large-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0324
Wer: 82.4574
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: 80
eval_batch_size: 40
seed: 42
optimizer: Use 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: 50
training_steps: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0171
1.5873
100
0.0250
79.5455
0.0077
3.1746
200
0.0264
80.1847
0.0064
4.7619
300
0.0285
81.6051
0.0028
6.3492
400
0.0313
83.0256
0.0019
7.9365
500
0.0324
82.4574
Framework versions
Transformers 4.51.3
Pytorch 2.5.1
Datasets 3.5.0
Tokenizers 0.21.1
