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openfun-ivod-whisper-large-v3-WuSiYao-10-75 – AI Model by luyotw | AlphaNeural AI
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openfun-ivod-whisper-large-v3-WuSiYao-10-75
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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: 0.0180
Wer: 69.5875
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
0.0179
0.6329
100
0.0182
70.1311
0.0165
1.2658
200
0.0177
68.9159
0.0151
1.8987
300
0.0174
68.8519
0.0105
2.5316
400
0.0179
69.4595
0.0096
3.1646
500
0.0180
69.5875
Framework versions
Transformers 4.51.3
Pytorch 2.5.1
Datasets 3.5.0
Tokenizers 0.21.1
