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whisper-medium-ivod-20250305-160541 – AI Model by luyotw | AlphaNeural AI
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luyotw
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whisper-medium-ivod-20250305-160541
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
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-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3057
Wer: 122.1167
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
0.0117
7.1429
1000
0.2368
113.6364
0.0006
14.2857
2000
0.2757
118.7246
0.0003
21.4286
3000
0.2859
120.2849
0.0003
28.5714
4000
0.2963
119.9457
0.0001
35.7143
5000
0.3057
122.1167
Framework versions
Transformers 4.45.2
Pytorch 2.5.1
Datasets 2.19.1
Tokenizers 0.20.1
