Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
whisper-medium-ivod-round3 – AI Model by luyotw | AlphaNeural AI
You can deploy this model and start earning money today!
luyotw
/
whisper-medium-ivod-round3
like
0
transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Fine-tuned Whisper model for Legislative Yuan of Taiwan
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0167
Wer: 62.0249
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0161
0.2034
1000
0.0196
67.4840
0.0191
0.4068
2000
0.0185
65.3481
0.0152
0.6103
3000
0.0176
64.0898
0.0157
0.8137
4000
0.0171
62.9154
0.011
1.0171
5000
0.0167
62.0249
Framework versions
Transformers 4.45.2
Pytorch 2.5.1
Datasets 2.19.1
Tokenizers 0.20.1
